```
!git clone https://github.com/ebitdad7/pegasus.git
%cd pegasus
!export PYTHONPATH=.
```

    Cloning into 'pegasus'...
    remote: Enumerating objects: 171, done.
    remote: Total 171 (delta 0), reused 0 (delta 0), pack-reused 171
    Receiving objects: 100% (171/171), 353.09 KiB | 5.60 MiB/s, done.
    Resolving deltas: 100% (56/56), done.
    /content/pegasus

```
!pip3 install -r requirements.txt
```

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    Building wheels for collected packages: bz2file, pypng, gast
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      Created wheel for bz2file: filename=bz2file-0.98-cp36-none-any.whl size=6884 sha256=a949caad97da086adeda92a5b1cc65024f27252e5f790686cecfcca1a61b53c1
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      Stored in directory: /root/.cache/pip/wheels/41/6b/ef/0493b536b6d4722c2ae9486691b1d49b922b9877922beeabb3
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      Created wheel for gast: filename=gast-0.2.2-cp36-none-any.whl size=7542 sha256=2ffe49cb28585b72df65c84ad992deb8c5bb491e8e10189f61b6fb5f33f8b830
      Stored in directory: /root/.cache/pip/wheels/5c/2e/7e/a1d4d4fcebe6c381f378ce7743a3ced3699feb89bcfbdadadd
    Successfully built bz2file pypng gast
    ERROR: kfac 0.2.2 has requirement tensorflow-probability==0.8, but you'll have tensorflow-probability 0.7.0 which is incompatible.
    Installing collected packages: mock, rouge-score, portalocker, sacrebleu, sentencepiece, gast, keras-applications, tensorflow-estimator, tensorboard, tensorflow, tensorflow-text, mesh-tensorflow, zope.event, zope.interface, greenlet, gevent, gunicorn, tf-slim, tensorflow-probability, tensorflow-gan, bz2file, pypng, kfac, tensor2tensor, importlib-resources, tfds-nightly, tensorflow-gpu
      Found existing installation: gast 0.3.3
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    Successfully installed bz2file-0.98 gast-0.2.2 gevent-20.6.2 greenlet-0.4.16 gunicorn-20.0.4 importlib-resources-3.0.0 keras-applications-1.0.8 kfac-0.2.2 mesh-tensorflow-0.1.16 mock-4.0.2 portalocker-2.0.0 pypng-0.0.20 rouge-score-0.0.4 sacrebleu-1.4.13 sentencepiece-0.1.91 tensor2tensor-1.15.0 tensorboard-1.15.0 tensorflow-1.15.3 tensorflow-estimator-1.15.1 tensorflow-gan-2.0.0 tensorflow-gpu-1.15.2 tensorflow-probability-0.7.0 tensorflow-text-1.15.0rc0 tf-slim-1.1.0 tfds-nightly-3.2.1.dev202009020105 zope.event-4.4 zope.interface-5.1.0

```
!sudo apt-get install gcc python-dev python-setuptools libffi-dev
!sudo apt-get install python-pip
!sudo pip install gsutil
```

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      python-keyrings.alt python-pip-whl python-secretstorage python-six
      python-wheel python-xdg
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      python-dbus-dbg python-dbus-doc python-enum34-doc python-gi-cairo
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      Downloading https://files.pythonhosted.org/packages/18/bd/55eb2d6397b9c0e263af9d091ebdb756b15756029b3cededf6461481bc63/fasteners-0.15-py2.py3-none-any.whl
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    Installing collected packages: argcomplete, monotonic, fasteners, pyu2f, google-reauth, httplib2, cryptography, pyOpenSSL, retry-decorator, gcs-oauth2-boto-plugin, google-apitools, pbr, mock, gsutil
      Found existing installation: httplib2 0.17.4
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    Successfully installed argcomplete-1.12.0 cryptography-3.1 fasteners-0.15 gcs-oauth2-boto-plugin-2.7 google-apitools-0.5.31 google-reauth-0.1.0 gsutil-4.53 httplib2-0.18.1 mock-2.0.0 monotonic-1.5 pbr-5.5.0 pyOpenSSL-19.1.0 pyu2f-0.1.4 retry-decorator-1.1.1

```
!mkdir ckpt
!gsutil cp -r gs://pegasus_ckpt ckpt/
```

    mkdir: cannot create directory ‘ckpt’: File exists
    Copying gs://pegasus_ckpt/c4.unigram.newline.10pct.96000.model...
    Copying gs://pegasus_ckpt/c4.unigram.newline.10pct.96000.vocab...
    Copying gs://pegasus_ckpt/checkpoint...
    Copying gs://pegasus_ckpt/model.ckpt-1500000.data-00000-of-00001...
    \ [4 files][  2.1 GiB/  2.1 GiB]   95.0 MiB/s
    ==> NOTE: You are performing a sequence of gsutil operations that may
    run significantly faster if you instead use gsutil -m cp ... Please
    see the -m section under "gsutil help options" for further information
    about when gsutil -m can be advantageous.

    Copying gs://pegasus_ckpt/model.ckpt-1500000.index...
    Copying gs://pegasus_ckpt/model.ckpt-1500000.meta...
    Copying gs://pegasus_ckpt/aeslc/model.ckpt-32000.data-00000-of-00001...
    Copying gs://pegasus_ckpt/aeslc/model.ckpt-32000.index...
    Copying gs://pegasus_ckpt/aeslc/model.ckpt-32000.meta...
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# New Section

```
%cd /content/
!pip3 install -e pegasus
%cd /content/pegasus/
```

    /content
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    Installing collected packages: pegasus
      Running setup.py develop for pegasus
    Successfully installed pegasus
    /content/pegasus

```
import pandas as pd
import tensorflow as tf

save_path = "/content/pegasus/pegasus/data/testdata/test_pattern_1.tfrecord"

input_dict = dict(
                  inputs=[ # here is the input text that goes in
                          "Musk’s current problems are less dire than those he faced in 2008, but Tesla and SpaceX are no longer experiments. Failure now would put thousands of jobs and billions of dollars at risk, and SpaceX has become crucial not just to the U.S. space program but also to countries and companies around the world hoping to put up satellites. Musk's supporters say he has built up enough credibility and has enough star power to raise money with relative ease or to be bailed out by one of his many ultrarich friends who share his aspirations. Just on technological merits, Musk’s companies have already changed the world. To the extent that the electric car is a commercial reality, it’s in large part thanks to Tesla. While it receives less attention, SpaceX and the revitalization of the U.S. aerospace industry may be Musk’s most stirring accomplishment. But at every point where his companies seem to be on stable footing, Musk takes on more and promises more, erasing the memory of past gains. The question is whether Musk can continue to operate on the edge of what’s possible — the key to his achievements so far."
                         ],
                  targets=[
                           "" # passing empty string since my target goal is to summerize the text
                          ]
                 )

data = pd.DataFrame(input_dict)

with tf.io.TFRecordWriter(save_path) as writer:
    for row in data.values:
        inputs, targets = row[:-1], row[-1]
        example = tf.train.Example(
            features=tf.train.Features(
                feature={
                    "inputs": tf.train.Feature(bytes_list=tf.train.BytesList(value=[inputs[0].encode('utf-8')])),
                    "targets": tf.train.Feature(bytes_list=tf.train.BytesList(value=[targets.encode('utf-8')])),
                }
            )
        )
        writer.write(example.SerializeToString())
```

```

```

```
!python3 pegasus/bin/train.py --params=aeslc_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model \
--train_init_checkpoint=ckpt/pegasus_ckpt/model.ckpt-1500000 \
--model_dir=ckpt/pegasus_ckpt/aeslc
```

    WARNING:tensorflow:From pegasus/bin/train.py:94: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    W0830 20:32:19.182901 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    W0830 20:32:19.388477 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    WARNING:tensorflow:Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7f444499cb70>) includes params argument, but params are not passed to Estimator.
    W0830 20:32:19.389236 139933262464896 estimator.py:1994] Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7f444499cb70>) includes params argument, but params are not passed to Estimator.
    INFO:tensorflow:Using config: {'_model_dir': 'ckpt/pegasus_ckpt/aeslc', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f4444990cf8>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    I0830 20:32:19.389787 139933262464896 estimator.py:212] Using config: {'_model_dir': 'ckpt/pegasus_ckpt/aeslc', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f4444990cf8>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    INFO:tensorflow:_TPUContext: eval_on_tpu True
    I0830 20:32:19.390104 139933262464896 tpu_context.py:220] _TPUContext: eval_on_tpu True
    WARNING:tensorflow:eval_on_tpu ignored because use_tpu is False.
    W0830 20:32:19.391037 139933262464896 tpu_context.py:222] eval_on_tpu ignored because use_tpu is False.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    W0830 20:32:19.409669 139933262464896 deprecation.py:506] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
    W0830 20:32:19.410372 139933262464896 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
    2020-08-30 20:32:19.435727: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:32:19.646277: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:32:19.858356: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    I0830 20:32:20.053998 139933262464896 dataset_info.py:424] Load pre-computed DatasetInfo (eg: splits, num examples,...) from GCS: aeslc/1.0.0
    2020-08-30 20:32:20.068055: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    I0830 20:32:20.623698 139933262464896 dataset_info.py:355] Load dataset info from /tmp/tmpkw_bi0igtfds
    I0830 20:32:20.625427 139933262464896 dataset_info.py:395] Field info.description from disk and from code do not match. Keeping the one from code.
    I0830 20:32:20.625629 139933262464896 dataset_info.py:395] Field info.citation from disk and from code do not match. Keeping the one from code.
    I0830 20:32:20.625969 139933262464896 dataset_builder.py:349] Generating dataset aeslc (/root/tensorflow_datasets/aeslc/1.0.0)
    Downloading and preparing dataset aeslc/1.0.0 (download: 11.10 MiB, generated: Unknown size, total: 11.10 MiB) to /root/tensorflow_datasets/aeslc/1.0.0...
    2020-08-30 20:32:20.730889: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:32:20.917673: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
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    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:32:21.113712 139933262464896 download_manager.py:478] Downloading https://github.com/ryanzhumich/AESLC/archive/master.zip into /root/tensorflow_datasets/downloads/ryanzhumich_AESLC_archive_masterACSpoxw627Ay4UrkswMeyz6RrOey8kKfkhEM4VySJWU.zip.tmp.d089b171be8e41a6a21dad80691087b9...
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    I0830 20:32:31.947028 139933262464896 dataset_builder.py:953] Generating split train
    Shuffling and writing examples to /root/tensorflow_datasets/aeslc/1.0.0.incompleteBCWTW3/aeslc-train.tfrecord
      0% 0/14436 [00:00<?, ? examples/s]I0830 20:32:39.110311 139933262464896 tfrecords_writer.py:226] Done writing /root/tensorflow_datasets/aeslc/1.0.0.incompleteBCWTW3/aeslc-train.tfrecord. Shard lengths: [14436]
    I0830 20:32:39.116265 139933262464896 dataset_builder.py:953] Generating split validation
    Shuffling and writing examples to /root/tensorflow_datasets/aeslc/1.0.0.incompleteBCWTW3/aeslc-validation.tfrecord
      0% 0/1960 [00:00<?, ? examples/s]I0830 20:32:39.984535 139933262464896 tfrecords_writer.py:226] Done writing /root/tensorflow_datasets/aeslc/1.0.0.incompleteBCWTW3/aeslc-validation.tfrecord. Shard lengths: [1960]
    I0830 20:32:39.985746 139933262464896 dataset_builder.py:953] Generating split test
    Shuffling and writing examples to /root/tensorflow_datasets/aeslc/1.0.0.incompleteBCWTW3/aeslc-test.tfrecord
      0% 0/1906 [00:00<?, ? examples/s]I0830 20:32:40.867191 139933262464896 tfrecords_writer.py:226] Done writing /root/tensorflow_datasets/aeslc/1.0.0.incompleteBCWTW3/aeslc-test.tfrecord. Shard lengths: [1906]
    I0830 20:32:40.868629 139933262464896 dataset_builder.py:404] Skipping computing stats for mode ComputeStatsMode.AUTO.
    Dataset aeslc downloaded and prepared to /root/tensorflow_datasets/aeslc/1.0.0. Subsequent calls will reuse this data.
    I0830 20:32:40.870629 139933262464896 dataset_builder.py:503] Constructing tf.data.Dataset for split train, from /root/tensorflow_datasets/aeslc/1.0.0
    I0830 20:32:41.429135 139933262464896 datasets.py:215] Number of examples for config aeslc train is 14436
    2020-08-30 20:32:42.391482: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
    2020-08-30 20:32:42.449905: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
    2020-08-30 20:32:42.449991: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (d85487f9bac6): /proc/driver/nvidia/version does not exist
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use tf.where in 2.0, which has the same broadcast rule as np.where
    W0830 20:32:42.551289 139933262464896 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use tf.where in 2.0, which has the same broadcast rule as np.where
    INFO:tensorflow:Calling model_fn.
    I0830 20:32:42.852426 139933262464896 estimator.py:1148] Calling model_fn.
    INFO:tensorflow:Running train on CPU
    I0830 20:32:42.852832 139933262464896 tpu_estimator.py:3124] Running train on CPU
    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:78: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

    W0830 20:32:42.853416 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:78: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/attention.py:41: The name tf.layers.Dense is deprecated. Please use tf.compat.v1.layers.Dense instead.

    W0830 20:32:42.854073 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/layers/attention.py:41: The name tf.layers.Dense is deprecated. Please use tf.compat.v1.layers.Dense instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

    W0830 20:32:42.907520 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

    W0830 20:32:42.907912 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:61: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

    W0830 20:32:42.908277 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:61: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:64: calling RandomNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
    Instructions for updating:
    Call initializer instance with the dtype argument instead of passing it to the constructor
    W0830 20:32:42.908631 139933262464896 deprecation.py:506] From /content/pegasus/pegasus/layers/embedding.py:64: calling RandomNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
    Instructions for updating:
    Call initializer instance with the dtype argument instead of passing it to the constructor
    WARNING:tensorflow:From /content/pegasus/pegasus/layers/attention.py:106: The name tf.matrix_band_part is deprecated. Please use tf.linalg.band_part instead.

    W0830 20:32:46.031859 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/layers/attention.py:106: The name tf.matrix_band_part is deprecated. Please use tf.linalg.band_part instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/models/transformer.py:108: The name tf.losses.softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.softmax_cross_entropy instead.

    W0830 20:32:51.186311 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/models/transformer.py:108: The name tf.losses.softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.softmax_cross_entropy instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:113: The name tf.train.get_global_step is deprecated. Please use tf.compat.v1.train.get_global_step instead.

    W0830 20:32:51.238706 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:113: The name tf.train.get_global_step is deprecated. Please use tf.compat.v1.train.get_global_step instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:114: The name tf.rsqrt is deprecated. Please use tf.math.rsqrt instead.

    W0830 20:32:51.239055 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:114: The name tf.rsqrt is deprecated. Please use tf.math.rsqrt instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:115: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    W0830 20:32:51.239243 139933262464896 deprecation.py:323] From /content/pegasus/pegasus/params/estimator_utils.py:115: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:315: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

    W0830 20:32:51.248138 139933262464896 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:315: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:147: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    W0830 20:32:51.252616 139933262464896 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:147: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:156: The name tf.mod is deprecated. Please use tf.math.mod instead.

    W0830 20:32:51.255362 139933262464896 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:156: The name tf.mod is deprecated. Please use tf.math.mod instead.

    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:244: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

    W0830 20:33:06.059977 139933262464896 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:244: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:189: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

    W0830 20:33:21.017336 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:189: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:205: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

    W0830 20:33:21.030986 139933262464896 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:205: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

    I0830 20:33:22.488876 139933262464896 estimator_utils.py:207] **** Trainable Variables ****
    I0830 20:33:22.489141 139933262464896 estimator_utils.py:212]   name = embeddings/weights:0, shape = (96103, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.489293 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.489398 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.489494 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.489617 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.489725 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.489822 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.489915 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.490003 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.490101 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.490192 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.490276 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.490364 139933262464896 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.490449 139933262464896 estimator_utils.py:212]   name = encoder/layer_1/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.490535 139933262464896 estimator_utils.py:212]   name = encoder/layer_1/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.490654 139933262464896 estimator_utils.py:212]   name = encoder/layer_1/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
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    I0830 20:33:22.534457 139933262464896 estimator_utils.py:212]   name = encoder/layer_11/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
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    I0830 20:33:22.534653 139933262464896 estimator_utils.py:212]   name = encoder/layer_11/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.534742 139933262464896 estimator_utils.py:212]   name = encoder/layer_11/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.534826 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.534917 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.535001 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.535088 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.535176 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.535264 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.535349 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.535432 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.535521 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.535620 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.535705 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.535793 139933262464896 estimator_utils.py:212]   name = encoder/layer_12/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.535885 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.535970 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.536056 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.536145 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
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    I0830 20:33:22.536320 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.536406 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.536489 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.536571 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.536672 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.536756 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.536843 139933262464896 estimator_utils.py:212]   name = encoder/layer_13/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.536934 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.537020 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.537101 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.537187 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.537272 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.537360 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.537459 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.537547 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.537645 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.537731 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.537811 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.537899 139933262464896 estimator_utils.py:212]   name = encoder/layer_14/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.537980 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.538061 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:33:22.538224 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.538307 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.538393 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.538479 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.538558 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.538670 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.538754 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.538836 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.538928 139933262464896 estimator_utils.py:212]   name = encoder/layer_15/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.539012 139933262464896 estimator_utils.py:212]   name = encoder/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.539094 139933262464896 estimator_utils.py:212]   name = encoder/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.539175 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.539255 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:33:22.539430 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.539516 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.539615 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.539697 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:33:22.539956 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.540040 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
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    I0830 20:33:22.540210 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.540290 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:33:22.540631 139933262464896 estimator_utils.py:212]   name = decoder/layer_0/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.540713 139933262464896 estimator_utils.py:212]   name = decoder/layer_1/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:33:22.540961 139933262464896 estimator_utils.py:212]   name = decoder/layer_1/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.541045 139933262464896 estimator_utils.py:212]   name = decoder/layer_1/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.541128 139933262464896 estimator_utils.py:212]   name = decoder/layer_1/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.541210 139933262464896 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:33:22.541455 139933262464896 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.541539 139933262464896 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.541634 139933262464896 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.541721 139933262464896 estimator_utils.py:212]   name = decoder/layer_1/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:33:22.541886 139933262464896 estimator_utils.py:212]   name = decoder/layer_1/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
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    I0830 20:33:22.542464 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.542547 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
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    I0830 20:33:22.542728 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:33:22.633187 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
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    I0830 20:33:22.634172 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.634725 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.635112 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.635366 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.635501 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.635603 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.635702 139933262464896 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.635796 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:33:22.636058 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
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    I0830 20:33:22.636327 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.636411 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.636495 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.636593 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.636680 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.636766 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.636852 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.636941 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.637023 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.637120 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.637203 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.637293 139933262464896 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.637374 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.637460 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.637544 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.637643 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.637728 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.637814 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.637908 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.637990 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.638072 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.638157 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.638241 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.638333 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.638419 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.638502 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.638596 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.638683 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.638764 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.638849 139933262464896 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.638936 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.639018 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.639099 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.639184 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.639269 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.639353 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.639441 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.639522 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.639617 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.639700 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.639783 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.639868 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.639959 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.640040 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.640120 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.640204 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.640283 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.640366 139933262464896 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.640446 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.640527 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.640620 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.640705 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.640788 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.640883 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.640966 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.641049 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.641131 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.641214 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.641297 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.641379 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.641468 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.641545 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.641638 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.641722 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.641802 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.641891 139933262464896 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.641970 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.642050 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.642128 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.642210 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.642292 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.642375 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.642459 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.642539 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.642636 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.642721 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.642806 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.642896 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.642979 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.643059 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.643138 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.643221 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.643301 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.643383 139933262464896 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.643468 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.643547 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.643640 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.643733 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.643817 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.643910 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.643992 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.644073 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.644154 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.644234 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.644316 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.644400 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.644484 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.644563 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.644657 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.644744 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.644822 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.644916 139933262464896 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.645004 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.645083 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.645161 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.645245 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.645329 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.645413 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.737451 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.737721 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.737824 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.737932 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.738023 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.738111 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.738206 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.738291 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.738371 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.738456 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.738538 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.738644 139933262464896 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.738728 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.738806 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.738892 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.738980 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.739062 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.739144 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.739226 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.739305 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.739383 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.739465 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.739545 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.739656 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.739743 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.739823 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.739907 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.739995 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.740077 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.740159 139933262464896 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.740237 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.740315 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.740415 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.741227 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.741354 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.741472 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.741559 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.741679 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.741759 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.741849 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.741940 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.742027 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.742477 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.742602 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.742702 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.742822 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.742926 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.743014 139933262464896 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.743098 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.743177 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.743253 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.743343 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.743437 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.743520 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.743637 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.743734 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.743821 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.743912 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.744026 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.744111 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.744189 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.744262 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.744337 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.744425 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.744509 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.744626 139933262464896 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.744723 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.744807 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.745432 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.745660 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.745761 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.745851 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.745938 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.746020 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.746099 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.746183 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.746265 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.746348 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.746439 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.746518 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.746614 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.746702 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.746787 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.746869 139933262464896 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.746950 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.747032 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.747114 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.747199 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.747283 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.747367 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.747457 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.747539 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.747638 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.747718 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.747799 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.747880 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.747961 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.748039 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.748116 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.748195 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.748313 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.748639 139933262464896 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.748776 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.748931 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.749052 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.749168 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.749293 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.749412 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.749511 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.749674 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.749778 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.749874 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.749969 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.750057 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.750143 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.750227 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.750309 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:33:22.750393 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:33:22.750474 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:33:22.750560 139933262464896 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.837791 139933262464896 estimator_utils.py:212]   name = decoder/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:33:22.838099 139933262464896 estimator_utils.py:212]   name = decoder/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    INFO:tensorflow:Done calling model_fn.
    I0830 20:33:22.858334 139933262464896 estimator.py:1150] Done calling model_fn.
    INFO:tensorflow:Create CheckpointSaverHook.
    I0830 20:33:22.859801 139933262464896 basic_session_run_hooks.py:541] Create CheckpointSaverHook.
    INFO:tensorflow:Graph was finalized.
    I0830 20:33:31.208243 139933262464896 monitored_session.py:240] Graph was finalized.
    2020-08-30 20:33:31.208906: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
    2020-08-30 20:33:31.222437: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz
    2020-08-30 20:33:31.222921: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1f9ea00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
    2020-08-30 20:33:31.222965: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
    2020-08-30 20:33:41.833960: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
    INFO:tensorflow:Running local_init_op.
    I0830 20:34:20.217569 139933262464896 session_manager.py:500] Running local_init_op.
    INFO:tensorflow:Done running local_init_op.
    I0830 20:34:21.131935 139933262464896 session_manager.py:502] Done running local_init_op.
    INFO:tensorflow:Saving checkpoints for 0 into ckpt/pegasus_ckpt/aeslc/model.ckpt.
    I0830 20:34:44.218886 139933262464896 basic_session_run_hooks.py:606] Saving checkpoints for 0 into ckpt/pegasus_ckpt/aeslc/model.ckpt.
    2020-08-30 20:35:32.807699: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
    2020-08-30 20:35:34.095561: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
    2020-08-30 20:35:36.440229: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
    2020-08-30 20:36:00.828187: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
    ^C

```
!python3 pegasus/bin/train.py --params=cnn_dailymail_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model \
--train_init_checkpoint=ckpt/pegasus_ckpt/model.ckpt-1500000 \
--model_dir=ckpt/pegasus_ckpt/cnn_dailymail
```

    WARNING:tensorflow:From pegasus/bin/train.py:94: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    W0830 20:37:11.819154 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    W0830 20:37:12.039921 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    WARNING:tensorflow:Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7ff1f7ef6b70>) includes params argument, but params are not passed to Estimator.
    W0830 20:37:12.040601 140679300540288 estimator.py:1994] Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7ff1f7ef6b70>) includes params argument, but params are not passed to Estimator.
    INFO:tensorflow:Using config: {'_model_dir': 'ckpt/pegasus_ckpt/cnn_dailymail', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7ff1f7eeacc0>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    I0830 20:37:12.041142 140679300540288 estimator.py:212] Using config: {'_model_dir': 'ckpt/pegasus_ckpt/cnn_dailymail', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7ff1f7eeacc0>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    INFO:tensorflow:_TPUContext: eval_on_tpu True
    I0830 20:37:12.041419 140679300540288 tpu_context.py:220] _TPUContext: eval_on_tpu True
    WARNING:tensorflow:eval_on_tpu ignored because use_tpu is False.
    W0830 20:37:12.042281 140679300540288 tpu_context.py:222] eval_on_tpu ignored because use_tpu is False.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    W0830 20:37:12.058464 140679300540288 deprecation.py:506] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
    W0830 20:37:12.059060 140679300540288 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
    2020-08-30 20:37:12.082075: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:37:12.284181: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:37:12.492001: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    I0830 20:37:12.679994 140679300540288 dataset_info.py:424] Load pre-computed DatasetInfo (eg: splits, num examples,...) from GCS: cnn_dailymail/plain_text/3.0.0
    2020-08-30 20:37:12.691979: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    I0830 20:37:12.889495 140679300540288 dataset_info.py:355] Load dataset info from /tmp/tmpfjl9s2ojtfds
    I0830 20:37:12.891554 140679300540288 dataset_info.py:395] Field info.description from disk and from code do not match. Keeping the one from code.
    I0830 20:37:12.891799 140679300540288 dataset_info.py:395] Field info.config_name from disk and from code do not match. Keeping the one from code.
    I0830 20:37:12.891911 140679300540288 dataset_info.py:395] Field info.citation from disk and from code do not match. Keeping the one from code.
    I0830 20:37:12.892290 140679300540288 dataset_builder.py:349] Generating dataset cnn_dailymail (/root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0)
    Downloading and preparing dataset cnn_dailymail/plain_text/3.0.0 (download: 558.32 MiB, generated: 1.27 GiB, total: 1.82 GiB) to /root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0...
    2020-08-30 20:37:12.987470: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:37:13.172744: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
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    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:13.368501 140679300540288 download_manager.py:478] Downloading https://raw.githubusercontent.com/abisee/cnn-dailymail/master/url_lists/all_test.txt into /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_a705_isK790OHOPsIZX-ACsObq_vchU9r5Uduh6ULX3c.txt.tmp.aca66360d25b406b8ab2686e678486af...
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    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:13.371487 140679300540288 download_manager.py:478] Downloading https://raw.githubusercontent.com/abisee/cnn-dailymail/master/url_lists/all_train.txt into /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_ac8YFmYLc8VRUvf04x1htoZoMCha8FjkWxZzzNI42_Qk.txt.tmp.9819c04a98cf4a8cade5f5c39cafe909...
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    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:13.376146 140679300540288 download_manager.py:478] Downloading https://raw.githubusercontent.com/abisee/cnn-dailymail/master/url_lists/all_val.txt into /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_aICtMBRotWZqhw9th-ABXYHIqhoG-ATk7YrhmKRDVCdU.txt.tmp.83160b8cdcb746b6a399e7d2c6b34561...
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    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:14.204159 140677177947904 download_manager.py:497] Skipping extraction for /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_a705_isK790OHOPsIZX-ACsObq_vchU9r5Uduh6ULX3c.txt (method=NO_EXTRACT).
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    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 84 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 85 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 86 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 87 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 88 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 89 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 90 MiB [00:02, 16.06 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 91 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 92 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 93 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 94 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 95 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 96 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 97 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 98 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 99 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 100 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 101 MiB [00:02, 21.45 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 102 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 103 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 104 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 105 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 106 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 107 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 108 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 109 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 110 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 111 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 112 MiB [00:02, 28.12 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 113 MiB [00:02, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 114 MiB [00:02, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 115 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 116 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 117 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 118 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 119 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 120 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 121 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 122 MiB [00:03, 36.10 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 123 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 124 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 125 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 126 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 127 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 128 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 129 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 130 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 131 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 132 MiB [00:03, 43.22 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 133 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 134 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 135 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 136 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 137 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 138 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 139 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 140 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 141 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 142 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 143 MiB [00:03, 50.56 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 144 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 145 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 146 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 147 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 148 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 149 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 150 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 151 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 152 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 153 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 154 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 155 MiB [00:03, 59.31 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 156 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 157 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 158 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 159 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 160 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 161 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 162 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 163 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 164 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 165 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 166 MiB [00:03, 68.63 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 167 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 168 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 169 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 170 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 171 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 172 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 173 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 174 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 175 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 176 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 177 MiB [00:03, 76.17 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 178 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 179 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 180 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 181 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 182 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 183 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 184 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 185 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 186 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 187 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 188 MiB [00:03, 83.80 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 189 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 190 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 191 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 192 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 193 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 194 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 195 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 196 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 197 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 198 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 199 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 200 MiB [00:03, 88.50 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 201 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 202 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 203 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 204 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 205 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 206 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 207 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 208 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 209 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 210 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 211 MiB [00:03, 92.83 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 212 MiB [00:03, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 213 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 214 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 215 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 216 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 217 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 218 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 219 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 220 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 221 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 222 MiB [00:04, 95.34 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 223 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 224 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 225 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 226 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 227 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 228 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 229 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 230 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 231 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 232 MiB [00:04, 89.91 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 233 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 234 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 235 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 236 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 237 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 238 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 239 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 240 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 241 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 242 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 243 MiB [00:04, 92.09 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 244 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 245 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 246 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 247 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 248 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 249 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 250 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  60% 3/5 [00:04<00:02,  1.12s/ url]
    Dl Size...: 250 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  60% 3/5 [00:04<00:02,  1.12s/ url]
    Dl Size...: 250 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  60% 3/5 [00:05<00:02,  1.12s/ url]
    Dl Size...: 251 MiB [00:05, 96.24 MiB/s]

    Dl Completed...:  60% 3/5 [00:05<00:02,  1.12s/ url]
    Dl Size...: 252 MiB [00:05, 96.24 MiB/s]

    Dl Completed...:  60% 3/5 [00:05<00:02,  1.12s/ url]
    Dl Size...: 253 MiB [00:05, 96.24 MiB/s]

    Extraction completed...:   0% 0/1 [00:05<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:05<00:02,  1.12s/ url]
    Dl Size...: 254 MiB [00:05, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 254 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 255 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 256 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 257 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 258 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 259 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 260 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 261 MiB [00:06, 17.79 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 262 MiB [00:06, 20.63 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 263 MiB [00:06, 20.63 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 264 MiB [00:06, 20.63 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 265 MiB [00:06, 20.63 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 266 MiB [00:06, 20.63 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 267 MiB [00:06, 20.63 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 268 MiB [00:06, 25.04 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 269 MiB [00:06, 25.04 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 270 MiB [00:06, 25.04 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 271 MiB [00:06, 25.04 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 272 MiB [00:06, 25.04 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 273 MiB [00:06, 25.04 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 274 MiB [00:06, 29.20 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 275 MiB [00:06, 29.20 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 276 MiB [00:06, 29.20 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 277 MiB [00:06, 29.20 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 278 MiB [00:06, 29.20 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 279 MiB [00:06, 29.20 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 280 MiB [00:06, 31.89 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 281 MiB [00:06, 31.89 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 282 MiB [00:06, 31.89 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 283 MiB [00:06, 31.89 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 284 MiB [00:06, 31.89 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 285 MiB [00:06, 31.89 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 286 MiB [00:06, 36.36 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 287 MiB [00:06, 36.36 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 288 MiB [00:06, 36.36 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 289 MiB [00:06, 36.36 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 290 MiB [00:06, 36.36 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 291 MiB [00:06, 36.36 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 292 MiB [00:06, 39.03 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 293 MiB [00:06, 39.03 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 294 MiB [00:06, 39.03 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 295 MiB [00:06, 39.03 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 296 MiB [00:06, 39.03 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 297 MiB [00:06, 39.03 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 298 MiB [00:06, 39.93 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 299 MiB [00:07, 39.93 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 300 MiB [00:07, 39.93 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 301 MiB [00:07, 39.93 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 302 MiB [00:07, 39.93 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 303 MiB [00:07, 41.62 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 304 MiB [00:07, 41.62 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 305 MiB [00:07, 41.62 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 306 MiB [00:07, 41.62 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 307 MiB [00:07, 41.62 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 308 MiB [00:07, 41.62 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 309 MiB [00:07, 43.27 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 310 MiB [00:07, 43.27 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 311 MiB [00:07, 43.27 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 312 MiB [00:07, 43.27 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 313 MiB [00:07, 43.27 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 314 MiB [00:07, 43.67 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 315 MiB [00:07, 43.67 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 316 MiB [00:07, 43.67 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 317 MiB [00:07, 43.67 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 318 MiB [00:07, 43.67 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 319 MiB [00:07, 45.26 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 320 MiB [00:07, 45.26 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 321 MiB [00:07, 45.26 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 322 MiB [00:07, 45.26 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 323 MiB [00:07, 45.26 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 324 MiB [00:07, 45.26 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 325 MiB [00:07, 44.15 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 326 MiB [00:07, 44.15 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 327 MiB [00:07, 44.15 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 328 MiB [00:07, 44.15 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 329 MiB [00:07, 44.15 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 330 MiB [00:07, 44.15 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 331 MiB [00:07, 46.61 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 332 MiB [00:07, 46.61 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 333 MiB [00:07, 46.61 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 334 MiB [00:07, 46.61 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 335 MiB [00:07, 46.61 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 336 MiB [00:07, 40.13 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 337 MiB [00:07, 40.13 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 338 MiB [00:07, 40.13 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 339 MiB [00:07, 40.13 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 340 MiB [00:07, 40.13 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:08<00:02,  1.12s/ url]
    Dl Size...: 341 MiB [00:08, 37.33 MiB/s]

    Dl Completed...:  60% 3/5 [00:08<00:02,  1.12s/ url]
    Dl Size...: 342 MiB [00:08, 37.33 MiB/s]

    Dl Completed...:  60% 3/5 [00:08<00:02,  1.12s/ url]
    Dl Size...: 343 MiB [00:08, 37.33 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 343 MiB [00:08, 37.33 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]I0830 20:37:21.425402 140677169555200 download_manager.py:497] Skipping extraction for /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_ac8YFmYLc8VRUvf04x1htoZoMCha8FjkWxZzzNI42_Qk.txt (method=NO_EXTRACT).
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 344 MiB [00:08, 37.33 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 345 MiB [00:08, 34.05 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 346 MiB [00:08, 34.05 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 347 MiB [00:08, 34.05 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 348 MiB [00:08, 34.05 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 349 MiB [00:08, 29.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 350 MiB [00:08, 29.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 351 MiB [00:08, 29.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 352 MiB [00:08, 29.08 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 353 MiB [00:08, 26.49 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 354 MiB [00:08, 26.49 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 355 MiB [00:08, 26.49 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 356 MiB [00:08, 24.65 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 357 MiB [00:08, 24.65 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 358 MiB [00:08, 24.65 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 359 MiB [00:08, 23.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 360 MiB [00:08, 23.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 361 MiB [00:08, 23.08 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 362 MiB [00:08, 22.37 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 363 MiB [00:09, 22.37 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 364 MiB [00:09, 22.37 MiB/s]

    Extraction completed...:   0% 0/1 [00:09<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 365 MiB [00:09, 21.06 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 366 MiB [00:09, 21.06 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 367 MiB [00:09, 21.06 MiB/s]

    Extraction completed...:   0% 0/1 [00:09<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 368 MiB [00:09, 16.23 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 369 MiB [00:09, 16.23 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 370 MiB [00:09, 16.23 MiB/s]

    Extraction completed...:   0% 0/1 [00:09<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 371 MiB [00:09, 18.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 372 MiB [00:09, 18.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 373 MiB [00:09, 18.20 MiB/s]

    Extraction completed...:   0% 0/1 [00:09<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 374 MiB [00:09, 19.52 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 375 MiB [00:10, 19.52 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 376 MiB [00:10, 19.52 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 377 MiB [00:10, 11.74 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 378 MiB [00:10, 11.74 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 379 MiB [00:10, 11.74 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 380 MiB [00:10, 13.87 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 381 MiB [00:10, 13.87 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 382 MiB [00:10, 13.87 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 383 MiB [00:10, 12.99 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 384 MiB [00:10, 12.99 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 385 MiB [00:10, 12.99 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 386 MiB [00:10, 14.90 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 387 MiB [00:10, 14.90 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 388 MiB [00:10, 14.90 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 389 MiB [00:10, 16.89 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 390 MiB [00:10, 16.89 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 391 MiB [00:10, 16.89 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 392 MiB [00:10, 17.82 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 393 MiB [00:10, 17.82 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 394 MiB [00:11, 17.82 MiB/s]

    Extraction completed...:   0% 0/1 [00:11<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 395 MiB [00:11, 19.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 396 MiB [00:11, 19.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 397 MiB [00:11, 19.08 MiB/s]

    Extraction completed...:   0% 0/1 [00:11<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 398 MiB [00:11, 20.16 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 399 MiB [00:11, 20.16 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 400 MiB [00:11, 20.16 MiB/s]

    Extraction completed...:   0% 0/1 [00:11<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 401 MiB [00:11, 20.91 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 402 MiB [00:11, 20.91 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 403 MiB [00:11, 20.91 MiB/s]

    Extraction completed...:   0% 0/1 [00:11<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 404 MiB [00:11, 21.43 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 405 MiB [00:11, 21.43 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 406 MiB [00:11, 21.43 MiB/s]

    Extraction completed...:   0% 0/1 [00:11<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 407 MiB [00:12, 11.14 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 408 MiB [00:12, 11.14 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 409 MiB [00:12, 11.14 MiB/s]

    Extraction completed...:   0% 0/1 [00:12<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 410 MiB [00:12, 13.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 411 MiB [00:12, 13.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 412 MiB [00:12, 13.20 MiB/s]

    Extraction completed...:   0% 0/1 [00:12<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 413 MiB [00:12, 15.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 414 MiB [00:12, 15.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 415 MiB [00:12, 15.20 MiB/s]

    Extraction completed...:   0% 0/1 [00:12<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 416 MiB [00:12, 12.68 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 417 MiB [00:12, 12.68 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 418 MiB [00:12, 12.68 MiB/s]

    Extraction completed...:   0% 0/1 [00:12<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 419 MiB [00:12, 13.46 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 420 MiB [00:12, 13.46 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 421 MiB [00:12, 13.46 MiB/s]

    Extraction completed...:   0% 0/1 [00:12<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 422 MiB [00:12, 15.81 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 423 MiB [00:13, 15.81 MiB/s]

    Extraction completed...:   0% 0/1 [00:13<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 424 MiB [00:13, 11.30 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 425 MiB [00:13, 11.30 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 426 MiB [00:13, 11.30 MiB/s]

    Extraction completed...:   0% 0/1 [00:13<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 427 MiB [00:13, 13.49 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 428 MiB [00:13, 13.49 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 429 MiB [00:13, 13.49 MiB/s]

    Extraction completed...:   0% 0/1 [00:13<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 430 MiB [00:13, 15.50 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 431 MiB [00:13, 15.50 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 432 MiB [00:13, 15.50 MiB/s]

    Extraction completed...:   0% 0/1 [00:13<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 433 MiB [00:13, 10.73 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 434 MiB [00:13, 10.73 MiB/s]

    Dl Completed...:  80% 4/5 [00:14<00:01,  1.89s/ url]
    Dl Size...: 435 MiB [00:14, 10.73 MiB/s]

    Extraction completed...:   0% 0/1 [00:14<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:14<00:01,  1.89s/ url]
    Dl Size...: 436 MiB [00:14, 13.02 MiB/s]

    Dl Completed...:  80% 4/5 [00:14<00:01,  1.89s/ url]
    Dl Size...: 437 MiB [00:14, 13.02 MiB/s]

    Extraction completed...:   0% 0/1 [00:14<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:14<00:01,  1.89s/ url]
    Dl Size...: 438 MiB [00:14, 14.48 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 439 MiB [00:15, 14.48 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 440 MiB [00:15,  4.72 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 441 MiB [00:15,  4.72 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 442 MiB [00:15,  4.72 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 443 MiB [00:15,  6.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 444 MiB [00:15,  6.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 445 MiB [00:15,  6.21 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 446 MiB [00:15,  7.97 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 447 MiB [00:15,  7.97 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 448 MiB [00:15,  7.97 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 449 MiB [00:15,  9.96 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 450 MiB [00:15,  9.96 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 451 MiB [00:15,  9.96 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 452 MiB [00:15, 12.10 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 453 MiB [00:15, 12.10 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 454 MiB [00:15, 12.10 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 455 MiB [00:15, 13.11 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 456 MiB [00:15, 13.11 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 457 MiB [00:16, 13.11 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 458 MiB [00:16, 15.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 459 MiB [00:16, 15.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 460 MiB [00:16, 15.21 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 461 MiB [00:16, 17.24 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 462 MiB [00:16, 17.24 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 463 MiB [00:16, 17.24 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 464 MiB [00:16, 16.88 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 465 MiB [00:16, 16.88 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 466 MiB [00:16, 16.88 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 467 MiB [00:16, 18.61 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 468 MiB [00:16, 18.61 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 469 MiB [00:16, 18.61 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 470 MiB [00:16, 20.22 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 471 MiB [00:16, 20.22 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 472 MiB [00:16, 20.22 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 473 MiB [00:16, 20.66 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 474 MiB [00:16, 20.66 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 475 MiB [00:16, 20.66 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 476 MiB [00:16, 21.18 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 477 MiB [00:16, 21.18 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 478 MiB [00:16, 21.18 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 479 MiB [00:17, 21.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
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    I0830 20:39:02.158226 140679300540288 dataset_builder.py:953] Generating split train
    Shuffling and writing examples to /root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0.incompleteRG1WPL/cnn_dailymail-train.tfrecord
     99% 285636/287113 [00:07<00:00, 41958.96 examples/s]I0830 20:42:47.938599 140679300540288 tfrecords_writer.py:226] Done writing /root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0.incompleteRG1WPL/cnn_dailymail-train.tfrecord. Shard lengths: [17945, 17944, 17945, 17944, 17945, 17944, 17945, 17944, 17945, 17945, 17944, 17945, 17944, 17945, 17944, 17945]
    I0830 20:42:47.939977 140679300540288 dataset_builder.py:953] Generating split validation
    Shuffling and writing examples to /root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0.incompleteRG1WPL/cnn_dailymail-validation.tfrecord
     67% 8927/13368 [00:00<00:00, 89264.34 examples/s]I0830 20:42:57.685503 140679300540288 tfrecords_writer.py:226] Done writing /root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0.incompleteRG1WPL/cnn_dailymail-validation.tfrecord. Shard lengths: [13368]
    I0830 20:42:57.697211 140679300540288 dataset_builder.py:953] Generating split test
    Shuffling and writing examples to /root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0.incompleteRG1WPL/cnn_dailymail-test.tfrecord
     80% 9194/11490 [00:00<00:00, 91934.83 examples/s]I0830 20:43:05.964109 140679300540288 tfrecords_writer.py:226] Done writing /root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0.incompleteRG1WPL/cnn_dailymail-test.tfrecord. Shard lengths: [11490]
    I0830 20:43:05.994637 140679300540288 dataset_builder.py:404] Skipping computing stats for mode ComputeStatsMode.AUTO.
    Dataset cnn_dailymail downloaded and prepared to /root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0. Subsequent calls will reuse this data.
    I0830 20:43:05.997262 140679300540288 dataset_builder.py:503] Constructing tf.data.Dataset for split train, from /root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0
    I0830 20:43:06.453502 140679300540288 datasets.py:215] Number of examples for config cnn_dailymail/plain_text train is 287113
    2020-08-30 20:43:07.298458: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
    2020-08-30 20:43:07.353359: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
    2020-08-30 20:43:07.353458: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (d85487f9bac6): /proc/driver/nvidia/version does not exist
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use tf.where in 2.0, which has the same broadcast rule as np.where
    W0830 20:43:07.487822 140679300540288 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use tf.where in 2.0, which has the same broadcast rule as np.where
    INFO:tensorflow:Calling model_fn.
    I0830 20:43:07.811200 140679300540288 estimator.py:1148] Calling model_fn.
    INFO:tensorflow:Running train on CPU
    I0830 20:43:07.811529 140679300540288 tpu_estimator.py:3124] Running train on CPU
    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:78: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

    W0830 20:43:07.811988 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:78: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/attention.py:41: The name tf.layers.Dense is deprecated. Please use tf.compat.v1.layers.Dense instead.

    W0830 20:43:07.812451 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/layers/attention.py:41: The name tf.layers.Dense is deprecated. Please use tf.compat.v1.layers.Dense instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

    W0830 20:43:07.862458 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

    W0830 20:43:07.862782 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:61: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

    W0830 20:43:07.863105 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:61: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:64: calling RandomNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
    Instructions for updating:
    Call initializer instance with the dtype argument instead of passing it to the constructor
    W0830 20:43:07.863389 140679300540288 deprecation.py:506] From /content/pegasus/pegasus/layers/embedding.py:64: calling RandomNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
    Instructions for updating:
    Call initializer instance with the dtype argument instead of passing it to the constructor
    WARNING:tensorflow:From /content/pegasus/pegasus/layers/attention.py:106: The name tf.matrix_band_part is deprecated. Please use tf.linalg.band_part instead.

    W0830 20:43:11.083760 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/layers/attention.py:106: The name tf.matrix_band_part is deprecated. Please use tf.linalg.band_part instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/models/transformer.py:108: The name tf.losses.softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.softmax_cross_entropy instead.

    W0830 20:43:16.036792 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/models/transformer.py:108: The name tf.losses.softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.softmax_cross_entropy instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:113: The name tf.train.get_global_step is deprecated. Please use tf.compat.v1.train.get_global_step instead.

    W0830 20:43:16.094020 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:113: The name tf.train.get_global_step is deprecated. Please use tf.compat.v1.train.get_global_step instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:114: The name tf.rsqrt is deprecated. Please use tf.math.rsqrt instead.

    W0830 20:43:16.094403 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:114: The name tf.rsqrt is deprecated. Please use tf.math.rsqrt instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:115: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    W0830 20:43:16.094607 140679300540288 deprecation.py:323] From /content/pegasus/pegasus/params/estimator_utils.py:115: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:315: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

    W0830 20:43:16.103397 140679300540288 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:315: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:147: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    W0830 20:43:16.108046 140679300540288 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:147: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:156: The name tf.mod is deprecated. Please use tf.math.mod instead.

    W0830 20:43:16.110631 140679300540288 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:156: The name tf.mod is deprecated. Please use tf.math.mod instead.

    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:244: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

    W0830 20:43:30.796951 140679300540288 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:244: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:189: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

    W0830 20:43:45.739104 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:189: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:205: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

    W0830 20:43:45.756763 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:205: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

    I0830 20:43:47.189904 140679300540288 estimator_utils.py:207] **** Trainable Variables ****
    I0830 20:43:47.190123 140679300540288 estimator_utils.py:212]   name = embeddings/weights:0, shape = (96103, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.190249 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.190382 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.190465 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.190553 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.190669 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.190752 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.190840 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.190922 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.191012 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.191096 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.191178 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.191266 140679300540288 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.191348 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.191426 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.191504 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.191601 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.191684 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.191769 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.191876 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.191956 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.192033 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.192112 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.192189 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.192274 140679300540288 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.192355 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.192433 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.192508 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.192606 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.192688 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.192772 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.192859 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.192938 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.193015 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.193099 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.193180 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.193269 140679300540288 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.193349 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.193427 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.193501 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.193598 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.193686 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.193764 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.193847 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.193925 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.194007 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.194087 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.194169 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.194251 140679300540288 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.194338 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.194419 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.194497 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.194591 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.194680 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.194766 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.194851 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.194932 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.195012 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.195094 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.195177 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.195264 140679300540288 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.195346 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.195428 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.195510 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.195609 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.195693 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.195778 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.195863 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.195943 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.196023 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.196104 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.196183 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.196271 140679300540288 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.196353 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.196434 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.196515 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.196613 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.196696 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.196779 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.196862 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.197018 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.197101 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.197179 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.197264 140679300540288 estimator_utils.py:212]   name = encoder/layer_6/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.197344 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.197422 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.197500 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.197594 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.197689 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.197772 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.197857 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.198017 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.198099 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.198178 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.198267 140679300540288 estimator_utils.py:212]   name = encoder/layer_7/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.198346 140679300540288 estimator_utils.py:212]   name = encoder/layer_8/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.198852 140679300540288 estimator_utils.py:212]   name = encoder/layer_8/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.199010 140679300540288 estimator_utils.py:212]   name = encoder/layer_8/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
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    I0830 20:43:47.199253 140679300540288 estimator_utils.py:212]   name = encoder/layer_8/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.199339 140679300540288 estimator_utils.py:212]   name = encoder/layer_9/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.199849 140679300540288 estimator_utils.py:212]   name = encoder/layer_9/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.200006 140679300540288 estimator_utils.py:212]   name = encoder/layer_9/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.200087 140679300540288 estimator_utils.py:212]   name = encoder/layer_9/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
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    I0830 20:43:47.211733 140679300540288 estimator_utils.py:212]   name = encoder/layer_9/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.212070 140679300540288 estimator_utils.py:212]   name = encoder/layer_10/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.212717 140679300540288 estimator_utils.py:212]   name = encoder/layer_10/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.212855 140679300540288 estimator_utils.py:212]   name = encoder/layer_10/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.213438 140679300540288 estimator_utils.py:212]   name = encoder/layer_10/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.213550 140679300540288 estimator_utils.py:212]   name = encoder/layer_11/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.213915 140679300540288 estimator_utils.py:212]   name = encoder/layer_11/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.214031 140679300540288 estimator_utils.py:212]   name = encoder/layer_11/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
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    I0830 20:43:47.214863 140679300540288 estimator_utils.py:212]   name = encoder/layer_11/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.214979 140679300540288 estimator_utils.py:212]   name = encoder/layer_12/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.215423 140679300540288 estimator_utils.py:212]   name = encoder/layer_12/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.215546 140679300540288 estimator_utils.py:212]   name = encoder/layer_12/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.215681 140679300540288 estimator_utils.py:212]   name = encoder/layer_12/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.216371 140679300540288 estimator_utils.py:212]   name = encoder/layer_13/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.217635 140679300540288 estimator_utils.py:212]   name = encoder/layer_13/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 20:43:47.224103 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.224195 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.224289 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.224380 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.224475 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.224572 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.224690 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.224789 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.224881 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.224967 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.225054 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.225143 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.225229 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.225320 140679300540288 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.225406 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.225489 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.225586 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.225687 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.225784 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.225884 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.225974 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.226061 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.226147 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.226238 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.226330 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.226415 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.226504 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.226614 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.226714 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.226810 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.226897 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.226990 140679300540288 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.227076 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.227162 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.227250 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.227344 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.227432 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.227518 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.227622 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.227714 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.227812 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.227909 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.228004 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.228088 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.228166 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.228239 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.228322 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.228413 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.228497 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.228604 140679300540288 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.228698 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.228791 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.228878 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.228968 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.229056 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.229144 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.229233 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.229329 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.229415 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.229503 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.229623 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.229721 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.229823 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.229910 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.229996 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.230086 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.230172 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.230263 140679300540288 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.230362 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.230449 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.230542 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.230650 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.230747 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.230848 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.230937 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.231030 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.231120 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.231212 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.231304 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.231396 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.231487 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.231571 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.231683 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.231787 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.231902 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.232000 140679300540288 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.232087 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.232172 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.232258 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.232355 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.232442 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.232527 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.232639 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.232728 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.232815 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.232904 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.232986 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.233077 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.322551 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.322918 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.323065 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.323214 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.323341 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.323486 140679300540288 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.323643 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.323775 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.323894 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.324015 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.324139 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.324280 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.324409 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.324525 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.324679 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.324806 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.324927 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.325047 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.325170 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.325287 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.325400 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.325519 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.325725 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.325859 140679300540288 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.325977 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.326094 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.326212 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.326335 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.326455 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.326596 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.326740 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.326855 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.326967 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.327084 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.327203 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.327323 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.327440 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.327554 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.327711 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.327834 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.327948 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.328066 140679300540288 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.328183 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.328297 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.328409 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.328526 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.328682 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.328807 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.328929 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.329042 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.329154 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.329271 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.329387 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.329507 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.329658 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.329782 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.329896 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.330012 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.330125 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.330244 140679300540288 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.330358 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.330468 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.330639 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.330796 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.330919 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.331053 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.331180 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.331295 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.331409 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.331528 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.331684 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.331809 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.331967 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.332084 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.332200 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.332317 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.332429 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.332548 140679300540288 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.332696 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.332812 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.332924 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.333040 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.333159 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.333279 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.333395 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.333507 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.333651 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.333781 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.333899 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.334019 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.334140 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.334255 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.334367 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.334484 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.334627 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.334757 140679300540288 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.334871 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.334985 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.335097 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.335218 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.335336 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.335453 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.335568 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.335725 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.335840 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.335957 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.336076 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.336197 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.336317 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.336429 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.336541 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.336736 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.336859 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.336980 140679300540288 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.337094 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.337210 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.337323 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.337441 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.337560 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.337718 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.337844 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.337957 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.338069 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.338190 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.338309 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.338427 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.338544 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.338697 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.338815 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.338933 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.339046 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.339168 140679300540288 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.339284 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.339396 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.339507 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.339659 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.339787 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.339908 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.340025 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.340140 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.340256 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.340374 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.340491 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.340643 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.340774 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.340890 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.341003 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 20:43:47.341137 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 20:43:47.341253 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 20:43:47.341371 140679300540288 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.341485 140679300540288 estimator_utils.py:212]   name = decoder/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 20:43:47.341626 140679300540288 estimator_utils.py:212]   name = decoder/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    INFO:tensorflow:Done calling model_fn.
    I0830 20:43:47.366027 140679300540288 estimator.py:1150] Done calling model_fn.
    INFO:tensorflow:Create CheckpointSaverHook.
    I0830 20:43:47.367480 140679300540288 basic_session_run_hooks.py:541] Create CheckpointSaverHook.
    INFO:tensorflow:Graph was finalized.
    I0830 20:43:55.546775 140679300540288 monitored_session.py:240] Graph was finalized.
    2020-08-30 20:43:55.554801: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
    2020-08-30 20:43:55.650119: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz
    2020-08-30 20:43:55.652475: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x86de700 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
    2020-08-30 20:43:55.652534: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
    2020-08-30 20:44:24.884592: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
    INFO:tensorflow:Running local_init_op.
    I0830 20:44:44.603399 140679300540288 session_manager.py:500] Running local_init_op.
    INFO:tensorflow:Done running local_init_op.
    I0830 20:44:45.537065 140679300540288 session_manager.py:502] Done running local_init_op.
    INFO:tensorflow:Saving checkpoints for 0 into ckpt/pegasus_ckpt/cnn_dailymail/model.ckpt.
    I0830 20:45:09.208391 140679300540288 basic_session_run_hooks.py:606] Saving checkpoints for 0 into ckpt/pegasus_ckpt/cnn_dailymail/model.ckpt.
    2020-08-30 20:46:22.548933: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 33554432 exceeds 10% of system memory.
    2020-08-30 20:46:22.569661: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 33554432 exceeds 10% of system memory.
    2020-08-30 20:46:22.877970: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 33554432 exceeds 10% of system memory.
    2020-08-30 20:46:22.897384: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 33554432 exceeds 10% of system memory.
    2020-08-30 20:46:33.892106: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:145] Filling up shuffle buffer (this may take a while): 1768 of 10000
    2020-08-30 20:46:43.888265: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:145] Filling up shuffle buffer (this may take a while): 4272 of 10000
    2020-08-30 20:46:53.890066: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:145] Filling up shuffle buffer (this may take a while): 6798 of 10000
    2020-08-30 20:47:03.890913: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:145] Filling up shuffle buffer (this may take a while): 9230 of 10000
    2020-08-30 20:47:06.878909: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:195] Shuffle buffer filled.
    ^C

```
!python3 pegasus/bin/train.py --params=gigaword_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model \
--train_init_checkpoint=ckpt/pegasus_ckpt/model.ckpt-1500000 \
--model_dir=ckpt/pegasus_ckpt/gigaword
```

    WARNING:tensorflow:From pegasus/bin/train.py:94: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    W0830 20:48:17.926240 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    W0830 20:48:18.144308 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    WARNING:tensorflow:Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7f7097be2b70>) includes params argument, but params are not passed to Estimator.
    W0830 20:48:18.145047 140123635914624 estimator.py:1994] Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7f7097be2b70>) includes params argument, but params are not passed to Estimator.
    INFO:tensorflow:Using config: {'_model_dir': 'ckpt/pegasus_ckpt/gigaword', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f7097bd6d30>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    I0830 20:48:18.145653 140123635914624 estimator.py:212] Using config: {'_model_dir': 'ckpt/pegasus_ckpt/gigaword', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f7097bd6d30>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    INFO:tensorflow:_TPUContext: eval_on_tpu True
    I0830 20:48:18.145952 140123635914624 tpu_context.py:220] _TPUContext: eval_on_tpu True
    WARNING:tensorflow:eval_on_tpu ignored because use_tpu is False.
    W0830 20:48:18.146801 140123635914624 tpu_context.py:222] eval_on_tpu ignored because use_tpu is False.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    W0830 20:48:18.161318 140123635914624 deprecation.py:506] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
    W0830 20:48:18.161942 140123635914624 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
    2020-08-30 20:48:18.187975: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:48:18.395268: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:48:18.608476: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    I0830 20:48:18.798180 140123635914624 dataset_info.py:424] Load pre-computed DatasetInfo (eg: splits, num examples,...) from GCS: gigaword/1.2.0
    2020-08-30 20:48:18.811108: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    I0830 20:48:19.330303 140123635914624 dataset_info.py:355] Load dataset info from /tmp/tmpkyjkuj0itfds
    I0830 20:48:19.332242 140123635914624 dataset_info.py:395] Field info.description from disk and from code do not match. Keeping the one from code.
    I0830 20:48:19.332455 140123635914624 dataset_info.py:395] Field info.citation from disk and from code do not match. Keeping the one from code.
    I0830 20:48:19.332840 140123635914624 dataset_builder.py:349] Generating dataset gigaword (/root/tensorflow_datasets/gigaword/1.2.0)
    Downloading and preparing dataset gigaword/1.2.0 (download: 551.61 MiB, generated: Unknown size, total: 551.61 MiB) to /root/tensorflow_datasets/gigaword/1.2.0...
    2020-08-30 20:48:19.431295: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:48:19.665765: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
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    Dl Size...: 78 MiB [00:03,  7.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 79 MiB [00:03,  7.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 80 MiB [00:03,  7.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 81 MiB [00:03,  7.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 82 MiB [00:03,  7.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 83 MiB [00:03,  7.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 84 MiB [00:03,  7.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 85 MiB [00:03,  7.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 86 MiB [00:03,  7.86 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 87 MiB [00:03, 10.91 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 88 MiB [00:03, 10.91 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 89 MiB [00:03, 10.91 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 90 MiB [00:03, 10.91 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 91 MiB [00:03, 10.91 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 92 MiB [00:03, 10.91 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 93 MiB [00:03, 10.91 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 94 MiB [00:03, 10.91 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 95 MiB [00:03, 10.91 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 96 MiB [00:03, 14.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 97 MiB [00:03, 14.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 98 MiB [00:03, 14.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 99 MiB [00:03, 14.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 100 MiB [00:03, 14.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 101 MiB [00:03, 14.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 102 MiB [00:03, 14.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 103 MiB [00:03, 14.43 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 104 MiB [00:03, 18.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 105 MiB [00:03, 18.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 106 MiB [00:03, 18.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 107 MiB [00:03, 18.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 108 MiB [00:03, 18.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 109 MiB [00:03, 18.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 110 MiB [00:03, 18.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 111 MiB [00:03, 18.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 112 MiB [00:03, 18.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 113 MiB [00:03, 18.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 114 MiB [00:03, 18.66 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 115 MiB [00:03, 24.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 116 MiB [00:03, 24.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 117 MiB [00:03, 24.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 118 MiB [00:03, 24.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 119 MiB [00:03, 24.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 120 MiB [00:03, 24.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 121 MiB [00:03, 24.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 122 MiB [00:03, 24.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 123 MiB [00:03, 24.70 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 124 MiB [00:03, 31.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 125 MiB [00:03, 31.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 126 MiB [00:03, 31.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 127 MiB [00:03, 31.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 128 MiB [00:03, 31.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 129 MiB [00:03, 31.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 130 MiB [00:03, 31.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 131 MiB [00:03, 31.43 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 132 MiB [00:03, 31.43 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 133 MiB [00:03, 38.63 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 134 MiB [00:03, 38.63 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 135 MiB [00:03, 38.63 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 136 MiB [00:03, 38.63 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 137 MiB [00:03, 38.63 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 138 MiB [00:03, 38.63 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 139 MiB [00:04, 38.63 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 140 MiB [00:04, 38.63 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 141 MiB [00:04, 38.63 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 142 MiB [00:04, 42.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 143 MiB [00:04, 42.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 144 MiB [00:04, 42.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 145 MiB [00:04, 42.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 146 MiB [00:04, 42.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 147 MiB [00:04, 42.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 148 MiB [00:04, 42.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 149 MiB [00:04, 42.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 150 MiB [00:04, 42.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 151 MiB [00:04, 42.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 152 MiB [00:04, 42.90 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 153 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 154 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 155 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 156 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 157 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 158 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 159 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 160 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 161 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 162 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 163 MiB [00:04, 52.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 164 MiB [00:04, 52.36 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 165 MiB [00:04, 62.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 166 MiB [00:04, 62.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 167 MiB [00:04, 62.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 168 MiB [00:04, 62.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 169 MiB [00:04, 62.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 170 MiB [00:04, 62.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 171 MiB [00:04, 62.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 172 MiB [00:04, 62.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 173 MiB [00:04, 62.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 174 MiB [00:04, 62.12 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 175 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 176 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 177 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 178 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 179 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 180 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 181 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 182 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 183 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 184 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 185 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 186 MiB [00:04, 62.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 187 MiB [00:04, 62.09 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 188 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 189 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 190 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 191 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 192 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 193 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 194 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 195 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 196 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 197 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 198 MiB [00:04, 73.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 199 MiB [00:04, 73.32 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 200 MiB [00:04, 70.00 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 201 MiB [00:04, 70.00 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 202 MiB [00:04, 70.00 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 203 MiB [00:04, 70.00 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 204 MiB [00:04, 70.00 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 205 MiB [00:04, 70.00 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 206 MiB [00:04, 70.00 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 207 MiB [00:04, 70.00 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 208 MiB [00:04, 70.00 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 209 MiB [00:04, 70.00 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 210 MiB [00:04, 70.00 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 211 MiB [00:04, 78.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 212 MiB [00:04, 78.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 213 MiB [00:04, 78.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 214 MiB [00:04, 78.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 215 MiB [00:04, 78.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 216 MiB [00:04, 78.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 217 MiB [00:04, 78.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 218 MiB [00:04, 78.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 219 MiB [00:04, 78.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 220 MiB [00:04, 78.30 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 221 MiB [00:04, 77.89 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 222 MiB [00:04, 77.89 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 223 MiB [00:04, 77.89 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 224 MiB [00:04, 77.89 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 225 MiB [00:04, 77.89 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 226 MiB [00:04, 77.89 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 227 MiB [00:04, 77.89 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 228 MiB [00:04, 77.89 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 229 MiB [00:04, 77.89 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 230 MiB [00:05, 77.89 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 231 MiB [00:05, 77.89 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 232 MiB [00:05, 73.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 233 MiB [00:05, 73.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 234 MiB [00:05, 73.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 235 MiB [00:05, 73.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 236 MiB [00:05, 73.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 237 MiB [00:05, 73.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 238 MiB [00:05, 73.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 239 MiB [00:05, 73.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 240 MiB [00:05, 73.65 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 241 MiB [00:05, 77.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 242 MiB [00:05, 77.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 243 MiB [00:05, 77.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 244 MiB [00:05, 77.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 245 MiB [00:05, 77.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 246 MiB [00:05, 77.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 247 MiB [00:05, 77.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 248 MiB [00:05, 77.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 249 MiB [00:05, 77.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 250 MiB [00:05, 77.66 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 251 MiB [00:05, 83.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 252 MiB [00:05, 83.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 253 MiB [00:05, 83.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 254 MiB [00:05, 83.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 255 MiB [00:05, 83.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 256 MiB [00:05, 83.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 257 MiB [00:05, 83.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 258 MiB [00:05, 83.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 259 MiB [00:05, 83.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 260 MiB [00:05, 83.18 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 261 MiB [00:05, 87.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 262 MiB [00:05, 87.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 263 MiB [00:05, 87.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 264 MiB [00:05, 87.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 265 MiB [00:05, 87.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 266 MiB [00:05, 87.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 267 MiB [00:05, 87.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 268 MiB [00:05, 87.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 269 MiB [00:05, 87.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 270 MiB [00:05, 87.06 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 271 MiB [00:05, 79.37 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 272 MiB [00:05, 79.37 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 273 MiB [00:05, 79.37 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 274 MiB [00:05, 79.37 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 275 MiB [00:05, 79.37 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 276 MiB [00:05, 79.37 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 277 MiB [00:05, 79.37 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 278 MiB [00:05, 79.37 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 279 MiB [00:05, 79.37 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 280 MiB [00:05, 79.37 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 281 MiB [00:05, 84.57 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 282 MiB [00:05, 84.57 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 283 MiB [00:05, 84.57 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 284 MiB [00:05, 84.57 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 285 MiB [00:05, 84.57 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 286 MiB [00:05, 84.57 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 287 MiB [00:05, 84.57 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 288 MiB [00:05, 84.57 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 289 MiB [00:05, 84.57 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 290 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 291 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 292 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 293 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 294 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 295 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 296 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 297 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 298 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 299 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 300 MiB [00:05, 70.66 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 301 MiB [00:05, 70.66 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 302 MiB [00:05, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 303 MiB [00:05, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 304 MiB [00:05, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 305 MiB [00:05, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 306 MiB [00:05, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 307 MiB [00:05, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 308 MiB [00:05, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 309 MiB [00:05, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 310 MiB [00:05, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 311 MiB [00:06, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 312 MiB [00:06, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 313 MiB [00:06, 80.34 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 314 MiB [00:06, 80.34 MiB/s]

    Extraction completed...: 0 file [00:06, ? file/s]
    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 315 MiB [00:06, 89.39 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 316 MiB [00:06, 89.39 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 317 MiB [00:06, 89.39 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 318 MiB [00:06, 89.39 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 319 MiB [00:06, 89.39 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 320 MiB [00:06, 89.39 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 321 MiB [00:06, 89.39 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 322 MiB [00:06, 89.39 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 323 MiB [00:06, 89.39 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 324 MiB [00:06, 89.39 MiB/s]

    Extraction completed...: 0 file [00:06, ? file/s]
    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 325 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 326 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 327 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 328 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 329 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 330 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 331 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 332 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 333 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 334 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 335 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 336 MiB [00:06, 64.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 337 MiB [00:06, 64.12 MiB/s]

    Extraction completed...: 0 file [00:06, ? file/s]
    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 338 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 339 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 340 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 341 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 342 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 343 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 344 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 345 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 346 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 347 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 348 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 349 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 350 MiB [00:06, 74.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 351 MiB [00:06, 74.68 MiB/s]

    Extraction completed...: 0 file [00:06, ? file/s]
    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 352 MiB [00:06, 82.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 353 MiB [00:06, 82.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 354 MiB [00:06, 82.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 355 MiB [00:06, 82.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 356 MiB [00:06, 82.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 357 MiB [00:06, 82.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 358 MiB [00:06, 82.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 359 MiB [00:06, 82.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 360 MiB [00:06, 82.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 361 MiB [00:06, 82.69 MiB/s]

    Extraction completed...: 0 file [00:06, ? file/s]
    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 362 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 363 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 364 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 365 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 366 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 367 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 368 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 369 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 370 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 371 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 372 MiB [00:06, 73.52 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 373 MiB [00:06, 73.52 MiB/s]

    Extraction completed...: 0 file [00:06, ? file/s]
    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 374 MiB [00:06, 82.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 375 MiB [00:06, 82.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 376 MiB [00:06, 82.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 377 MiB [00:06, 82.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 378 MiB [00:06, 82.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 379 MiB [00:06, 82.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 380 MiB [00:06, 82.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 381 MiB [00:06, 82.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 382 MiB [00:06, 82.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 383 MiB [00:06, 82.10 MiB/s]

    Extraction completed...: 0 file [00:06, ? file/s]
    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 384 MiB [00:06, 84.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 385 MiB [00:06, 84.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 386 MiB [00:06, 84.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 387 MiB [00:06, 84.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 388 MiB [00:06, 84.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 389 MiB [00:07, 84.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 390 MiB [00:07, 84.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 391 MiB [00:07, 84.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 392 MiB [00:07, 84.65 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 393 MiB [00:07, 84.65 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 394 MiB [00:07, 81.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 395 MiB [00:07, 81.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 396 MiB [00:07, 81.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 397 MiB [00:07, 81.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 398 MiB [00:07, 81.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 399 MiB [00:07, 81.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 400 MiB [00:07, 81.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 401 MiB [00:07, 81.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 402 MiB [00:07, 81.36 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 403 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 404 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 405 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 406 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 407 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 408 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 409 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 410 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 411 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 412 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 413 MiB [00:07, 79.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 414 MiB [00:07, 79.83 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 415 MiB [00:07, 88.54 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 416 MiB [00:07, 88.54 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 417 MiB [00:07, 88.54 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 418 MiB [00:07, 88.54 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 419 MiB [00:07, 88.54 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 420 MiB [00:07, 88.54 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 421 MiB [00:07, 88.54 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 422 MiB [00:07, 88.54 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 423 MiB [00:07, 88.54 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 424 MiB [00:07, 88.54 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 425 MiB [00:07, 82.49 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 426 MiB [00:07, 82.49 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 427 MiB [00:07, 82.49 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 428 MiB [00:07, 82.49 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 429 MiB [00:07, 82.49 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 430 MiB [00:07, 82.49 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 431 MiB [00:07, 82.49 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 432 MiB [00:07, 82.49 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 433 MiB [00:07, 82.49 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 434 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 435 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 436 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 437 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 438 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 439 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 440 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 441 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 442 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 443 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 444 MiB [00:07, 77.01 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 445 MiB [00:07, 77.01 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 446 MiB [00:07, 85.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 447 MiB [00:07, 85.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 448 MiB [00:07, 85.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 449 MiB [00:07, 85.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 450 MiB [00:07, 85.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 451 MiB [00:07, 85.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 452 MiB [00:07, 85.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 453 MiB [00:07, 85.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 454 MiB [00:07, 85.36 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 455 MiB [00:07, 85.36 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 456 MiB [00:07, 80.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 457 MiB [00:07, 80.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 458 MiB [00:07, 80.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 459 MiB [00:07, 80.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 460 MiB [00:07, 80.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 461 MiB [00:07, 80.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 462 MiB [00:07, 80.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 463 MiB [00:07, 80.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 464 MiB [00:07, 80.24 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 465 MiB [00:07, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 466 MiB [00:07, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 467 MiB [00:07, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 468 MiB [00:07, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 469 MiB [00:07, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 470 MiB [00:08, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 471 MiB [00:08, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 472 MiB [00:08, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 473 MiB [00:08, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 474 MiB [00:08, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 475 MiB [00:08, 70.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 476 MiB [00:08, 70.50 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 477 MiB [00:08, 80.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 478 MiB [00:08, 80.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 479 MiB [00:08, 80.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 480 MiB [00:08, 80.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 481 MiB [00:08, 80.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 482 MiB [00:08, 80.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 483 MiB [00:08, 80.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 484 MiB [00:08, 80.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 485 MiB [00:08, 80.20 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 486 MiB [00:08, 71.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 487 MiB [00:08, 71.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 488 MiB [00:08, 71.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 489 MiB [00:08, 71.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 490 MiB [00:08, 71.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 491 MiB [00:08, 71.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 492 MiB [00:08, 71.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 493 MiB [00:08, 71.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 494 MiB [00:08, 71.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 495 MiB [00:08, 71.58 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 496 MiB [00:08, 73.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 497 MiB [00:08, 73.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 498 MiB [00:08, 73.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 499 MiB [00:08, 73.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 500 MiB [00:08, 73.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 501 MiB [00:08, 73.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 502 MiB [00:08, 73.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 503 MiB [00:08, 73.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 504 MiB [00:08, 73.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 505 MiB [00:08, 73.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 506 MiB [00:08, 73.10 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 507 MiB [00:08, 81.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 508 MiB [00:08, 81.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 509 MiB [00:08, 81.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 510 MiB [00:08, 81.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 511 MiB [00:08, 81.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 512 MiB [00:08, 81.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 513 MiB [00:08, 81.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 514 MiB [00:08, 81.24 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 515 MiB [00:08, 81.24 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 516 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 517 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 518 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 519 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 520 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 521 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 522 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 523 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 524 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 525 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 526 MiB [00:08, 69.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 527 MiB [00:08, 69.32 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 528 MiB [00:08, 75.47 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 529 MiB [00:08, 75.47 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 530 MiB [00:08, 75.47 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 531 MiB [00:08, 75.47 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 532 MiB [00:08, 75.47 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 533 MiB [00:08, 75.47 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 534 MiB [00:08, 75.47 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 535 MiB [00:08, 75.47 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 536 MiB [00:08, 75.47 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 537 MiB [00:08, 75.47 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 538 MiB [00:08, 81.45 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 539 MiB [00:08, 81.45 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 540 MiB [00:08, 81.45 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 541 MiB [00:08, 81.45 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 542 MiB [00:08, 81.45 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 543 MiB [00:08, 81.45 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 544 MiB [00:08, 81.45 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 545 MiB [00:08, 81.45 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 546 MiB [00:08, 81.45 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 547 MiB [00:08, 75.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
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    I0830 20:48:58.446686 140123635914624 dataset_builder.py:953] Generating split train
    Shuffling and writing examples to /root/tensorflow_datasets/gigaword/1.2.0.incomplete2JKCH3/gigaword-train.tfrecord
    100% 3788665/3803957 [00:31<00:00, 174426.88 examples/s]I0830 21:02:03.232558 140123635914624 tfrecords_writer.py:226] Done writing /root/tensorflow_datasets/gigaword/1.2.0.incomplete2JKCH3/gigaword-train.tfrecord. Shard lengths: [237747, 237748, 237747, 237747, 237748, 237747, 237747, 237747, 237748, 237747, 237747, 237748, 237747, 237747, 237748, 237747]
    I0830 21:02:03.416826 140123635914624 dataset_builder.py:953] Generating split validation

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     91% 171818/189651 [00:01<04:59, 59.61 examples/s]I0830 21:02:41.835843 140123635914624 tfrecords_writer.py:226] Done writing /root/tensorflow_datasets/gigaword/1.2.0.incomplete2JKCH3/gigaword-validation.tfrecord. Shard lengths: [189651]

                                                      I0830 21:02:41.860714 140123635914624 dataset_builder.py:953] Generating split test

    0 examples [00:00, ? examples/s]
    540 examples [00:00, 5393.85 examples/s]
    1083 examples [00:00, 5403.57 examples/s]
    1542 examples [00:00, 5127.12 examples/s]
                                             Shuffling and writing examples to /root/tensorflow_datasets/gigaword/1.2.0.incomplete2JKCH3/gigaword-test.tfrecord

      0% 0/1951 [00:00<?, ? examples/s]I0830 21:02:42.250689 140123635914624 tfrecords_writer.py:226] Done writing /root/tensorflow_datasets/gigaword/1.2.0.incomplete2JKCH3/gigaword-test.tfrecord. Shard lengths: [1951]

                                       I0830 21:02:42.252512 140123635914624 dataset_builder.py:404] Skipping computing stats for mode ComputeStatsMode.AUTO.
    Dataset gigaword downloaded and prepared to /root/tensorflow_datasets/gigaword/1.2.0. Subsequent calls will reuse this data.
    I0830 21:02:42.257033 140123635914624 dataset_builder.py:503] Constructing tf.data.Dataset for split train, from /root/tensorflow_datasets/gigaword/1.2.0
    I0830 21:02:42.714406 140123635914624 datasets.py:215] Number of examples for config gigaword train is 3803957
    2020-08-30 21:02:43.846331: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
    2020-08-30 21:02:43.908618: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
    2020-08-30 21:02:43.908704: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (d85487f9bac6): /proc/driver/nvidia/version does not exist
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use tf.where in 2.0, which has the same broadcast rule as np.where
    W0830 21:02:44.029327 140123635914624 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use tf.where in 2.0, which has the same broadcast rule as np.where
    INFO:tensorflow:Calling model_fn.
    I0830 21:02:44.331900 140123635914624 estimator.py:1148] Calling model_fn.
    INFO:tensorflow:Running train on CPU
    I0830 21:02:44.332282 140123635914624 tpu_estimator.py:3124] Running train on CPU
    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:78: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

    W0830 21:02:44.332972 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:78: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/attention.py:41: The name tf.layers.Dense is deprecated. Please use tf.compat.v1.layers.Dense instead.

    W0830 21:02:44.333711 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/layers/attention.py:41: The name tf.layers.Dense is deprecated. Please use tf.compat.v1.layers.Dense instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

    W0830 21:02:44.410594 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

    W0830 21:02:44.410902 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:61: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

    W0830 21:02:44.411190 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:61: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:64: calling RandomNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
    Instructions for updating:
    Call initializer instance with the dtype argument instead of passing it to the constructor
    W0830 21:02:44.411503 140123635914624 deprecation.py:506] From /content/pegasus/pegasus/layers/embedding.py:64: calling RandomNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
    Instructions for updating:
    Call initializer instance with the dtype argument instead of passing it to the constructor
    WARNING:tensorflow:From /content/pegasus/pegasus/layers/attention.py:106: The name tf.matrix_band_part is deprecated. Please use tf.linalg.band_part instead.

    W0830 21:02:47.510011 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/layers/attention.py:106: The name tf.matrix_band_part is deprecated. Please use tf.linalg.band_part instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/models/transformer.py:108: The name tf.losses.softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.softmax_cross_entropy instead.

    W0830 21:02:52.864431 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/models/transformer.py:108: The name tf.losses.softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.softmax_cross_entropy instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:113: The name tf.train.get_global_step is deprecated. Please use tf.compat.v1.train.get_global_step instead.

    W0830 21:02:52.930881 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:113: The name tf.train.get_global_step is deprecated. Please use tf.compat.v1.train.get_global_step instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:114: The name tf.rsqrt is deprecated. Please use tf.math.rsqrt instead.

    W0830 21:02:52.931245 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:114: The name tf.rsqrt is deprecated. Please use tf.math.rsqrt instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:115: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    W0830 21:02:52.931433 140123635914624 deprecation.py:323] From /content/pegasus/pegasus/params/estimator_utils.py:115: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:315: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

    W0830 21:02:52.940937 140123635914624 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:315: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:147: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    W0830 21:02:52.946000 140123635914624 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:147: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:156: The name tf.mod is deprecated. Please use tf.math.mod instead.

    W0830 21:02:52.948682 140123635914624 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:156: The name tf.mod is deprecated. Please use tf.math.mod instead.

    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:244: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

    W0830 21:03:08.100562 140123635914624 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:244: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:189: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

    W0830 21:03:23.728315 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:189: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:205: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

    W0830 21:03:23.740759 140123635914624 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:205: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

    I0830 21:03:25.253778 140123635914624 estimator_utils.py:207] **** Trainable Variables ****
    I0830 21:03:25.254048 140123635914624 estimator_utils.py:212]   name = embeddings/weights:0, shape = (96103, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.254212 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.254320 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.254434 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.254546 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.254682 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.254786 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.254882 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.254972 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.255065 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.255156 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.255230 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.255306 140123635914624 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.255384 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.255488 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.255570 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.255687 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.255774 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.255859 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.255946 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.256029 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.256111 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.256196 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.256275 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.256358 140123635914624 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.256454 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.256541 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.256661 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.256757 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.256847 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.256936 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.257027 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.257112 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.257196 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.257285 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.257367 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.257469 140123635914624 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.257555 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.257672 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.257759 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.257848 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.257940 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.258031 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.258119 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.258205 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.258290 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.258383 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.258496 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.258614 140123635914624 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.258704 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.258788 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.258875 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.259122 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.259320 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.259452 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.259562 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.259701 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.259808 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.259943 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.260040 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.260127 140123635914624 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.260214 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.260337 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.260431 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.260528 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.260650 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.260752 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.260845 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.260932 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.261015 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.261103 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.261187 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.261273 140123635914624 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.261781 140123635914624 estimator_utils.py:212]   name = encoder/layer_6/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.261882 140123635914624 estimator_utils.py:212]   name = encoder/layer_6/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.261976 140123635914624 estimator_utils.py:212]   name = encoder/layer_6/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.262445 140123635914624 estimator_utils.py:212]   name = encoder/layer_6/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.262847 140123635914624 estimator_utils.py:212]   name = encoder/layer_7/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.262940 140123635914624 estimator_utils.py:212]   name = encoder/layer_7/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.263040 140123635914624 estimator_utils.py:212]   name = encoder/layer_7/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.263139 140123635914624 estimator_utils.py:212]   name = encoder/layer_7/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.263627 140123635914624 estimator_utils.py:212]   name = encoder/layer_7/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.264097 140123635914624 estimator_utils.py:212]   name = encoder/layer_8/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
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    I0830 21:03:25.264315 140123635914624 estimator_utils.py:212]   name = encoder/layer_8/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.264823 140123635914624 estimator_utils.py:212]   name = encoder/layer_8/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.265356 140123635914624 estimator_utils.py:212]   name = encoder/layer_9/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.265444 140123635914624 estimator_utils.py:212]   name = encoder/layer_9/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.265629 140123635914624 estimator_utils.py:212]   name = encoder/layer_9/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
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    I0830 21:03:25.316870 140123635914624 estimator_utils.py:212]   name = encoder/layer_9/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.318724 140123635914624 estimator_utils.py:212]   name = encoder/layer_10/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.318842 140123635914624 estimator_utils.py:212]   name = encoder/layer_11/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.319573 140123635914624 estimator_utils.py:212]   name = encoder/layer_11/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.319826 140123635914624 estimator_utils.py:212]   name = encoder/layer_11/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
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    I0830 21:03:25.320215 140123635914624 estimator_utils.py:212]   name = encoder/layer_11/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.320699 140123635914624 estimator_utils.py:212]   name = encoder/layer_12/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.320822 140123635914624 estimator_utils.py:212]   name = encoder/layer_12/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.320940 140123635914624 estimator_utils.py:212]   name = encoder/layer_12/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.321078 140123635914624 estimator_utils.py:212]   name = encoder/layer_12/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.321683 140123635914624 estimator_utils.py:212]   name = encoder/layer_12/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.322512 140123635914624 estimator_utils.py:212]   name = encoder/layer_13/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.323595 140123635914624 estimator_utils.py:212]   name = encoder/layer_14/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.323724 140123635914624 estimator_utils.py:212]   name = encoder/layer_14/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.323856 140123635914624 estimator_utils.py:212]   name = encoder/layer_14/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.323984 140123635914624 estimator_utils.py:212]   name = encoder/layer_14/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.324560 140123635914624 estimator_utils.py:212]   name = encoder/layer_14/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.325425 140123635914624 estimator_utils.py:212]   name = encoder/layer_15/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.325675 140123635914624 estimator_utils.py:212]   name = encoder/layer_15/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
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    I0830 21:03:25.326070 140123635914624 estimator_utils.py:212]   name = encoder/layer_15/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.326186 140123635914624 estimator_utils.py:212]   name = encoder/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.326300 140123635914624 estimator_utils.py:212]   name = encoder/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.326425 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.326540 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 21:03:25.326799 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.326915 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.327048 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.327171 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.327282 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.327391 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.327507 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.327646 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.327768 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.327886 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.328011 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.328128 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.328244 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.328356 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.328470 140123635914624 estimator_utils.py:212]   name = decoder/layer_0/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.328602 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.328721 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.328832 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.328947 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.329107 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.329229 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.329350 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.329461 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.329573 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.329715 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.329833 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.329965 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.330101 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.330215 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.330327 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.330440 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.330554 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.330704 140123635914624 estimator_utils.py:212]   name = decoder/layer_1/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.330823 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.330935 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.331062 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.331181 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.331297 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.331415 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.331533 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.331670 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.331784 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.331898 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.332042 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.332163 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.332280 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.332391 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.332503 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.332639 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.332755 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.332873 140123635914624 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.332997 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.333113 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.333223 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.333340 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.333455 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.333571 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.333716 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.333829 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.333940 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.334070 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.334188 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.334305 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.334423 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.334535 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.334668 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.334787 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.334899 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.335028 140123635914624 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.335144 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.335254 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.335365 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.335481 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.335618 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.335741 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.335857 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.335967 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.336094 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.336210 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.336323 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.336440 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.336560 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.336700 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.336813 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.336928 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.337052 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.337170 140123635914624 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.337283 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.337394 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.337503 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.337637 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.337758 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.337874 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.338003 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.338120 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.338229 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.338345 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.338461 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.338597 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.338716 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.338826 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.338937 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.339068 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.339182 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.339298 140123635914624 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.339409 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.339522 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.339655 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.339775 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.339892 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.340038 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.340161 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.340274 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.340385 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.340500 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.340634 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.340757 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.340874 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.340998 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.341116 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.341233 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.341345 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.341461 140123635914624 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.341593 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.341713 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.341823 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.341938 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.342069 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.342185 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.342304 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.342413 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.342526 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.342667 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.342786 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.342902 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.343033 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.343147 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.343257 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.343371 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.343482 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.343619 140123635914624 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.343740 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.343852 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.343962 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.344096 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.344213 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.344328 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.344445 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.344557 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.344692 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.344810 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.344913 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.345036 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.345154 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.345263 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.345371 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.345486 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.345618 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.345741 140123635914624 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.345852 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.345962 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.346127 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.346247 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.346366 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.346483 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.346625 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.346743 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.346856 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.346972 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.347121 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.347243 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.347361 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.347470 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.347604 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.347748 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.347864 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.347993 140123635914624 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.348112 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.348224 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.348334 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.348450 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.348565 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.348709 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.348829 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.348943 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.349095 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.349219 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.349334 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.349452 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.349571 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.349709 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.349823 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.349956 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.350086 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.350204 140123635914624 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.350316 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.350428 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.350539 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.350680 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.350798 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.350914 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.351047 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.351161 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.351271 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.351387 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.351506 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.351643 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.351765 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.351874 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.351997 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.352120 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.352232 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.352349 140123635914624 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.352461 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.352572 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.352710 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.352829 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.352945 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.353079 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.353197 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.353307 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.353416 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.353530 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.353671 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.353790 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.353907 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.354034 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.354150 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.354264 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.354374 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.354488 140123635914624 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.354621 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.354736 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.354847 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.354962 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.355097 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.355214 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.355330 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.355440 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.355550 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.355691 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.355809 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.355925 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.356057 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.356171 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.356283 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.356399 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.356510 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.356648 140123635914624 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.356764 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.356875 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.356995 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.357116 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.357233 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.357348 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.357463 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.357593 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.357713 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.357832 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.357948 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.358079 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.358198 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.358310 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.358420 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.358535 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.358670 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.358788 140123635914624 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.358900 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.359026 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.359141 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.359258 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.359373 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.359488 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.359628 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.359742 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.359853 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.359992 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.360116 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.360233 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.360350 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.360462 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.360589 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 21:03:25.360714 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 21:03:25.360824 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 21:03:25.360939 140123635914624 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.361066 140123635914624 estimator_utils.py:212]   name = decoder/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 21:03:25.361180 140123635914624 estimator_utils.py:212]   name = decoder/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    INFO:tensorflow:Done calling model_fn.
    I0830 21:03:25.380557 140123635914624 estimator.py:1150] Done calling model_fn.
    INFO:tensorflow:Create CheckpointSaverHook.
    I0830 21:03:25.382021 140123635914624 basic_session_run_hooks.py:541] Create CheckpointSaverHook.
    INFO:tensorflow:Graph was finalized.
    I0830 21:03:34.186985 140123635914624 monitored_session.py:240] Graph was finalized.
    2020-08-30 21:03:34.187754: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
    2020-08-30 21:03:34.205835: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz
    2020-08-30 21:03:34.206463: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x187c840 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
    2020-08-30 21:03:34.206509: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
    2020-08-30 21:03:48.338481: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
    INFO:tensorflow:Running local_init_op.
    I0830 21:04:23.029951 140123635914624 session_manager.py:500] Running local_init_op.
    INFO:tensorflow:Done running local_init_op.
    I0830 21:04:23.928683 140123635914624 session_manager.py:502] Done running local_init_op.
    INFO:tensorflow:Saving checkpoints for 0 into ckpt/pegasus_ckpt/gigaword/model.ckpt.
    I0830 21:04:46.855744 140123635914624 basic_session_run_hooks.py:606] Saving checkpoints for 0 into ckpt/pegasus_ckpt/gigaword/model.ckpt.
    2020-08-30 21:05:33.044062: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
    2020-08-30 21:05:34.363346: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
    2020-08-30 21:05:36.273984: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
    2020-08-30 21:05:55.805034: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 393637888 exceeds 10% of system memory.
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    ^C

```
!python3 pegasus/bin/train.py --params=reddit_tifu_long_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model \
--train_init_checkpoint=ckpt/pegasus_ckpt/model.ckpt-1500000 \
--model_dir=ckpt/pegasus_ckpt/reddit_tifu_long
```

    WARNING:tensorflow:From pegasus/bin/train.py:94: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    W0830 22:35:22.670966 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    W0830 22:35:22.858121 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    WARNING:tensorflow:Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7fbc7adc8b70>) includes params argument, but params are not passed to Estimator.
    W0830 22:35:22.858817 140449568884608 estimator.py:1994] Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7fbc7adc8b70>) includes params argument, but params are not passed to Estimator.
    INFO:tensorflow:Using config: {'_model_dir': 'ckpt/pegasus_ckpt/reddit_tifu_long', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fbc7adbdcc0>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    I0830 22:35:22.859336 140449568884608 estimator.py:212] Using config: {'_model_dir': 'ckpt/pegasus_ckpt/reddit_tifu_long', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fbc7adbdcc0>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    INFO:tensorflow:_TPUContext: eval_on_tpu True
    I0830 22:35:22.859642 140449568884608 tpu_context.py:220] _TPUContext: eval_on_tpu True
    WARNING:tensorflow:eval_on_tpu ignored because use_tpu is False.
    W0830 22:35:22.860470 140449568884608 tpu_context.py:222] eval_on_tpu ignored because use_tpu is False.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    W0830 22:35:22.867233 140449568884608 deprecation.py:506] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
    W0830 22:35:22.867718 140449568884608 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
    2020-08-30 22:35:22.880601: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 22:35:23.083725: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 22:35:23.325192: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    I0830 22:35:23.552087 140449568884608 dataset_info.py:424] Load pre-computed DatasetInfo (eg: splits, num examples,...) from GCS: reddit_tifu/long/1.1.0
    2020-08-30 22:35:23.559563: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    I0830 22:35:24.113338 140449568884608 dataset_info.py:355] Load dataset info from /tmp/tmpc12p906qtfds
    I0830 22:35:24.115318 140449568884608 dataset_info.py:395] Field info.description from disk and from code do not match. Keeping the one from code.
    I0830 22:35:24.115490 140449568884608 dataset_info.py:395] Field info.config_name from disk and from code do not match. Keeping the one from code.
    I0830 22:35:24.115600 140449568884608 dataset_info.py:395] Field info.citation from disk and from code do not match. Keeping the one from code.
    I0830 22:35:24.115962 140449568884608 dataset_builder.py:349] Generating dataset reddit_tifu (/root/tensorflow_datasets/reddit_tifu/long/1.1.0)
    Downloading and preparing dataset reddit_tifu/long/1.1.0 (download: 639.54 MiB, generated: Unknown size, total: 639.54 MiB) to /root/tensorflow_datasets/reddit_tifu/long/1.1.0...
    2020-08-30 22:35:24.211498: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 22:35:24.578082: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
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    Dl Size...: 63 MiB [00:02,  4.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 64 MiB [00:02,  4.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 65 MiB [00:02,  4.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 66 MiB [00:02,  4.77 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 67 MiB [00:02,  6.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 68 MiB [00:02,  6.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 69 MiB [00:02,  6.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 70 MiB [00:02,  6.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 71 MiB [00:02,  6.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 72 MiB [00:02,  6.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 73 MiB [00:02,  6.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 74 MiB [00:02,  6.69 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 75 MiB [00:02,  6.69 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 76 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 77 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 78 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 79 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 80 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 81 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 82 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 83 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 84 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 85 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 86 MiB [00:02,  9.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:02<?, ? url/s]
    Dl Size...: 87 MiB [00:02,  9.20 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 88 MiB [00:03, 11.14 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 89 MiB [00:03, 11.14 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 90 MiB [00:03, 11.14 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 91 MiB [00:03, 11.14 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 92 MiB [00:03, 11.14 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 93 MiB [00:03, 11.14 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 94 MiB [00:03, 11.14 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 95 MiB [00:03, 11.14 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 96 MiB [00:03, 11.93 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 97 MiB [00:03, 11.93 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 98 MiB [00:03, 11.93 MiB/s]

    Dl Completed...:   0% 0/1 [00:03<?, ? url/s]
    Dl Size...: 99 MiB [00:03, 11.93 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 100 MiB [00:04, 11.93 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 101 MiB [00:04, 11.93 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 102 MiB [00:04, 11.93 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 103 MiB [00:04, 11.93 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 104 MiB [00:04, 11.93 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 105 MiB [00:04, 11.93 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 106 MiB [00:04, 11.93 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 107 MiB [00:04, 16.25 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 108 MiB [00:04, 16.25 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 109 MiB [00:04, 16.25 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 110 MiB [00:04, 16.25 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 111 MiB [00:04, 16.25 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 112 MiB [00:04, 16.25 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 113 MiB [00:04, 16.25 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 114 MiB [00:04, 16.25 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 115 MiB [00:04, 16.25 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 116 MiB [00:04, 16.25 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 117 MiB [00:04, 16.25 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 118 MiB [00:04, 21.81 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 119 MiB [00:04, 21.81 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 120 MiB [00:04, 21.81 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 121 MiB [00:04, 21.81 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 122 MiB [00:04, 21.81 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 123 MiB [00:04, 21.81 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 124 MiB [00:04, 21.81 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 125 MiB [00:04, 21.81 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 126 MiB [00:04, 27.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 127 MiB [00:04, 27.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 128 MiB [00:04, 27.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 129 MiB [00:04, 27.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 130 MiB [00:04, 27.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 131 MiB [00:04, 27.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 132 MiB [00:04, 27.68 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 133 MiB [00:04, 27.68 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 134 MiB [00:04, 31.41 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 135 MiB [00:04, 31.41 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 136 MiB [00:04, 31.41 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 137 MiB [00:04, 31.41 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 138 MiB [00:04, 31.41 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 139 MiB [00:04, 31.41 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 140 MiB [00:04, 31.41 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 141 MiB [00:04, 31.41 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 142 MiB [00:04, 31.41 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 143 MiB [00:04, 31.41 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 144 MiB [00:04, 31.41 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 145 MiB [00:04, 39.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 146 MiB [00:04, 39.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 147 MiB [00:04, 39.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 148 MiB [00:04, 39.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 149 MiB [00:04, 39.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 150 MiB [00:04, 39.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 151 MiB [00:04, 39.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 152 MiB [00:04, 39.50 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 153 MiB [00:04, 39.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 154 MiB [00:04, 39.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 155 MiB [00:04, 39.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 156 MiB [00:04, 39.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 157 MiB [00:04, 39.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 158 MiB [00:04, 39.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 159 MiB [00:04, 39.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 160 MiB [00:04, 39.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 161 MiB [00:04, 39.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 162 MiB [00:04, 39.87 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 163 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 164 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 165 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 166 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 167 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 168 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 169 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 170 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 171 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 172 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 173 MiB [00:04, 47.90 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 174 MiB [00:04, 47.90 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 175 MiB [00:04, 58.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:04<?, ? url/s]
    Dl Size...: 176 MiB [00:04, 58.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 177 MiB [00:05, 58.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 178 MiB [00:05, 58.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 179 MiB [00:05, 58.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 180 MiB [00:05, 58.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 181 MiB [00:05, 58.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 182 MiB [00:05, 58.18 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 183 MiB [00:05, 58.18 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 184 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 185 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 186 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 187 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 188 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 189 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 190 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 191 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 192 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 193 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 194 MiB [00:05, 45.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 195 MiB [00:05, 45.10 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 196 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 197 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 198 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 199 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 200 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 201 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 202 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 203 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 204 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 205 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 206 MiB [00:05, 54.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 207 MiB [00:05, 54.96 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 208 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 209 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 210 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 211 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 212 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 213 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 214 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 215 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 216 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 217 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 218 MiB [00:05, 51.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 219 MiB [00:05, 51.88 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 220 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 221 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 222 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 223 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 224 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 225 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 226 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 227 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 228 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 229 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 230 MiB [00:05, 61.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 231 MiB [00:05, 61.86 MiB/s]

    Extraction completed...: 0 file [00:05, ? file/s]
    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 232 MiB [00:05, 72.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 233 MiB [00:05, 72.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 234 MiB [00:05, 72.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 235 MiB [00:05, 72.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 236 MiB [00:05, 72.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 237 MiB [00:05, 72.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 238 MiB [00:05, 72.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:05<?, ? url/s]
    Dl Size...: 239 MiB [00:05, 72.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 240 MiB [00:06, 72.20 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 241 MiB [00:06, 72.20 MiB/s]

    Extraction completed...: 0 file [00:06, ? file/s]
    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 242 MiB [00:06, 24.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 243 MiB [00:06, 24.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 244 MiB [00:06, 24.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 245 MiB [00:06, 24.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 246 MiB [00:06, 24.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 247 MiB [00:06, 24.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 248 MiB [00:06, 24.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 249 MiB [00:06, 24.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 250 MiB [00:06, 24.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 251 MiB [00:06, 24.83 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 252 MiB [00:06, 24.83 MiB/s]

    Extraction completed...: 0 file [00:06, ? file/s]
    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 253 MiB [00:06, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 254 MiB [00:06, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 255 MiB [00:06, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:06<?, ? url/s]
    Dl Size...: 256 MiB [00:06, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 257 MiB [00:07, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 258 MiB [00:07, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 259 MiB [00:07, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 260 MiB [00:07, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 261 MiB [00:07, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 262 MiB [00:07, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 263 MiB [00:07, 32.31 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 264 MiB [00:07, 32.31 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 265 MiB [00:07, 41.21 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 266 MiB [00:07, 41.21 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 267 MiB [00:07, 41.21 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 268 MiB [00:07, 41.21 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 269 MiB [00:07, 41.21 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 270 MiB [00:07, 41.21 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 271 MiB [00:07, 41.21 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 272 MiB [00:07, 41.21 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 273 MiB [00:07, 41.21 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 274 MiB [00:07, 41.21 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 275 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 276 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 277 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 278 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 279 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 280 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 281 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 282 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 283 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 284 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 285 MiB [00:07, 34.30 MiB/s]

    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 286 MiB [00:07, 34.30 MiB/s]

    Extraction completed...: 0 file [00:07, ? file/s]
    Dl Completed...:   0% 0/1 [00:07<?, ? url/s]
    Dl Size...: 287 MiB [00:07, 43.62 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 288 MiB [00:08, 43.62 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 289 MiB [00:08, 43.62 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 290 MiB [00:08, 43.62 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 291 MiB [00:08, 43.62 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 292 MiB [00:08, 43.62 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 293 MiB [00:08, 43.62 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 294 MiB [00:08, 43.62 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 295 MiB [00:08, 43.62 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 296 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 297 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 298 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 299 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 300 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 301 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 302 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 303 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 304 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 305 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 306 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 307 MiB [00:08, 21.77 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 308 MiB [00:08, 21.77 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 309 MiB [00:08, 28.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 310 MiB [00:08, 28.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 311 MiB [00:08, 28.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 312 MiB [00:08, 28.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 313 MiB [00:08, 28.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 314 MiB [00:08, 28.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 315 MiB [00:08, 28.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 316 MiB [00:08, 28.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 317 MiB [00:08, 28.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 318 MiB [00:08, 28.87 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 319 MiB [00:08, 28.87 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 320 MiB [00:08, 30.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 321 MiB [00:08, 30.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 322 MiB [00:08, 30.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 323 MiB [00:08, 30.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 324 MiB [00:08, 30.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 325 MiB [00:08, 30.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 326 MiB [00:08, 30.86 MiB/s]

    Dl Completed...:   0% 0/1 [00:08<?, ? url/s]
    Dl Size...: 327 MiB [00:08, 30.86 MiB/s]

    Extraction completed...: 0 file [00:08, ? file/s]
    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 328 MiB [00:09, 34.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 329 MiB [00:09, 34.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 330 MiB [00:09, 34.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 331 MiB [00:09, 34.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 332 MiB [00:09, 34.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 333 MiB [00:09, 34.32 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 334 MiB [00:09, 34.32 MiB/s]

    Extraction completed...: 0 file [00:09, ? file/s]
    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 335 MiB [00:09, 38.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 336 MiB [00:09, 38.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 337 MiB [00:09, 38.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 338 MiB [00:09, 38.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 339 MiB [00:09, 38.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 340 MiB [00:09, 38.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 341 MiB [00:09, 38.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 342 MiB [00:09, 38.10 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 343 MiB [00:09, 38.10 MiB/s]

    Extraction completed...: 0 file [00:09, ? file/s]
    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 344 MiB [00:09, 45.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 345 MiB [00:09, 45.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 346 MiB [00:09, 45.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 347 MiB [00:09, 45.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 348 MiB [00:09, 45.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 349 MiB [00:09, 45.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 350 MiB [00:09, 45.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 351 MiB [00:09, 45.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 352 MiB [00:09, 45.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 353 MiB [00:09, 45.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 354 MiB [00:09, 45.88 MiB/s]

    Extraction completed...: 0 file [00:09, ? file/s]
    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 355 MiB [00:09, 55.15 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 356 MiB [00:09, 55.15 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 357 MiB [00:09, 55.15 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 358 MiB [00:09, 55.15 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 359 MiB [00:09, 55.15 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 360 MiB [00:09, 55.15 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 361 MiB [00:09, 55.15 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 362 MiB [00:09, 55.15 MiB/s]

    Extraction completed...: 0 file [00:09, ? file/s]
    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 363 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 364 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 365 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 366 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 367 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 368 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 369 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 370 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 371 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 372 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 373 MiB [00:09, 59.96 MiB/s]

    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 374 MiB [00:09, 59.96 MiB/s]

    Extraction completed...: 0 file [00:09, ? file/s]
    Dl Completed...:   0% 0/1 [00:09<?, ? url/s]
    Dl Size...: 375 MiB [00:09, 69.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 376 MiB [00:10, 69.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 377 MiB [00:10, 69.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 378 MiB [00:10, 69.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 379 MiB [00:10, 69.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 380 MiB [00:10, 69.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 381 MiB [00:10, 69.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 382 MiB [00:10, 69.88 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 383 MiB [00:10, 69.88 MiB/s]

    Extraction completed...: 0 file [00:10, ? file/s]
    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 384 MiB [00:10, 36.79 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 385 MiB [00:10, 36.79 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 386 MiB [00:10, 36.79 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 387 MiB [00:10, 36.79 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 388 MiB [00:10, 36.79 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 389 MiB [00:10, 36.79 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 390 MiB [00:10, 36.79 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 391 MiB [00:10, 36.79 MiB/s]

    Extraction completed...: 0 file [00:10, ? file/s]
    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 392 MiB [00:10, 26.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 393 MiB [00:10, 26.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 394 MiB [00:10, 26.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 395 MiB [00:10, 26.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 396 MiB [00:10, 26.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 397 MiB [00:10, 26.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 398 MiB [00:10, 26.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 399 MiB [00:10, 26.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 400 MiB [00:10, 26.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 401 MiB [00:10, 26.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 402 MiB [00:10, 26.40 MiB/s]

    Extraction completed...: 0 file [00:10, ? file/s]
    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 403 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 404 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 405 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 406 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 407 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 408 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 409 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 410 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 411 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 412 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 413 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 414 MiB [00:10, 34.07 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 415 MiB [00:10, 34.07 MiB/s]

    Extraction completed...: 0 file [00:10, ? file/s]
    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 416 MiB [00:10, 43.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 417 MiB [00:10, 43.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 418 MiB [00:10, 43.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 419 MiB [00:10, 43.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 420 MiB [00:10, 43.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 421 MiB [00:10, 43.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 422 MiB [00:10, 43.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:10<?, ? url/s]
    Dl Size...: 423 MiB [00:10, 43.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 424 MiB [00:11, 43.42 MiB/s]

    Extraction completed...: 0 file [00:11, ? file/s]
    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 425 MiB [00:11, 39.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 426 MiB [00:11, 39.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 427 MiB [00:11, 39.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 428 MiB [00:11, 39.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 429 MiB [00:11, 39.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 430 MiB [00:11, 39.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 431 MiB [00:11, 39.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 432 MiB [00:11, 39.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 433 MiB [00:11, 39.12 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 434 MiB [00:11, 39.12 MiB/s]

    Extraction completed...: 0 file [00:11, ? file/s]
    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 435 MiB [00:11, 47.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 436 MiB [00:11, 47.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 437 MiB [00:11, 47.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 438 MiB [00:11, 47.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 439 MiB [00:11, 47.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 440 MiB [00:11, 47.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 441 MiB [00:11, 47.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 442 MiB [00:11, 47.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 443 MiB [00:11, 47.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 444 MiB [00:11, 47.58 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 445 MiB [00:11, 47.58 MiB/s]

    Extraction completed...: 0 file [00:11, ? file/s]
    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 446 MiB [00:11, 57.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 447 MiB [00:11, 57.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 448 MiB [00:11, 57.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 449 MiB [00:11, 57.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 450 MiB [00:11, 57.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 451 MiB [00:11, 57.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 452 MiB [00:11, 57.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 453 MiB [00:11, 57.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 454 MiB [00:11, 57.09 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 455 MiB [00:11, 57.09 MiB/s]

    Extraction completed...: 0 file [00:11, ? file/s]
    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 456 MiB [00:11, 40.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 457 MiB [00:11, 40.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 458 MiB [00:11, 40.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 459 MiB [00:11, 40.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 460 MiB [00:11, 40.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 461 MiB [00:11, 40.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 462 MiB [00:11, 40.70 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 463 MiB [00:11, 40.70 MiB/s]

    Extraction completed...: 0 file [00:11, ? file/s]
    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 464 MiB [00:11, 47.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 465 MiB [00:11, 47.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 466 MiB [00:11, 47.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 467 MiB [00:11, 47.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 468 MiB [00:11, 47.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 469 MiB [00:11, 47.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 470 MiB [00:11, 47.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 471 MiB [00:11, 47.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 472 MiB [00:11, 47.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 473 MiB [00:11, 47.40 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 474 MiB [00:11, 47.40 MiB/s]

    Extraction completed...: 0 file [00:11, ? file/s]
    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 475 MiB [00:11, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 476 MiB [00:11, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 477 MiB [00:11, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 478 MiB [00:11, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 479 MiB [00:11, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:11<?, ? url/s]
    Dl Size...: 480 MiB [00:11, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 481 MiB [00:12, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 482 MiB [00:12, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 483 MiB [00:12, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 484 MiB [00:12, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 485 MiB [00:12, 57.06 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 486 MiB [00:12, 57.06 MiB/s]

    Extraction completed...: 0 file [00:12, ? file/s]
    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 487 MiB [00:12, 66.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 488 MiB [00:12, 66.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 489 MiB [00:12, 66.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 490 MiB [00:12, 66.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 491 MiB [00:12, 66.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 492 MiB [00:12, 66.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 493 MiB [00:12, 66.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 494 MiB [00:12, 66.42 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 495 MiB [00:12, 66.42 MiB/s]

    Extraction completed...: 0 file [00:12, ? file/s]
    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 496 MiB [00:12, 67.27 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 497 MiB [00:12, 67.27 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 498 MiB [00:12, 67.27 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 499 MiB [00:12, 67.27 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 500 MiB [00:12, 67.27 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 501 MiB [00:12, 67.27 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 502 MiB [00:12, 67.27 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 503 MiB [00:12, 67.27 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 504 MiB [00:12, 67.27 MiB/s]

    Extraction completed...: 0 file [00:12, ? file/s]
    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 505 MiB [00:12, 68.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 506 MiB [00:12, 68.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 507 MiB [00:12, 68.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 508 MiB [00:12, 68.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 509 MiB [00:12, 68.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 510 MiB [00:12, 68.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 511 MiB [00:12, 68.50 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 512 MiB [00:12, 68.50 MiB/s]

    Extraction completed...: 0 file [00:12, ? file/s]
    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 513 MiB [00:12, 54.76 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 514 MiB [00:12, 54.76 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 515 MiB [00:12, 54.76 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 516 MiB [00:12, 54.76 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 517 MiB [00:12, 54.76 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 518 MiB [00:12, 54.76 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 519 MiB [00:12, 54.76 MiB/s]

    Extraction completed...: 0 file [00:12, ? file/s]
    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 520 MiB [00:12, 44.02 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 521 MiB [00:12, 44.02 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 522 MiB [00:12, 44.02 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 523 MiB [00:12, 44.02 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 524 MiB [00:12, 44.02 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 525 MiB [00:12, 44.02 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 526 MiB [00:12, 44.02 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 527 MiB [00:12, 44.02 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 528 MiB [00:12, 44.02 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 529 MiB [00:12, 44.02 MiB/s]

    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 530 MiB [00:12, 44.02 MiB/s]

    Extraction completed...: 0 file [00:12, ? file/s]
    Dl Completed...:   0% 0/1 [00:12<?, ? url/s]
    Dl Size...: 531 MiB [00:12, 53.61 MiB/s]

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    Extraction completed...: 0 file [00:15, ? file/s]I0830 22:35:40.121278 140447463077632 download_manager.py:497] Skipping extraction for /root/tensorflow_datasets/downloads/ucexport_download_id_1ffWfITKFMJeqjT8loC8a_XnFKBkIaeZ0glhNGWombXK7QgN8uq9nDHA-eFtk8ZIIqCA (method=NO_EXTRACT).

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    I0830 22:35:40.122343 140449568884608 dataset_builder.py:953] Generating split train
    Shuffling and writing examples to /root/tensorflow_datasets/reddit_tifu/long/1.1.0.incompleteYM1FSJ/reddit_tifu-train.tfrecord
     85% 35874/42139 [00:00<00:00, 106144.43 examples/s]I0830 22:36:12.711124 140449568884608 tfrecords_writer.py:226] Done writing /root/tensorflow_datasets/reddit_tifu/long/1.1.0.incompleteYM1FSJ/reddit_tifu-train.tfrecord. Shard lengths: [42139]
    I0830 22:36:12.736144 140449568884608 dataset_builder.py:404] Skipping computing stats for mode ComputeStatsMode.AUTO.
    Dataset reddit_tifu downloaded and prepared to /root/tensorflow_datasets/reddit_tifu/long/1.1.0. Subsequent calls will reuse this data.
    I0830 22:36:12.738217 140449568884608 dataset_builder.py:503] Constructing tf.data.Dataset for split train[:80%], from /root/tensorflow_datasets/reddit_tifu/long/1.1.0
    I0830 22:36:13.147881 140449568884608 datasets.py:215] Number of examples for config reddit_tifu/long train is 33711
    2020-08-30 22:36:13.925087: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
    2020-08-30 22:36:13.930798: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
    2020-08-30 22:36:13.930852: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (d85487f9bac6): /proc/driver/nvidia/version does not exist
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use tf.where in 2.0, which has the same broadcast rule as np.where
    W0830 22:36:13.981532 140449568884608 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use tf.where in 2.0, which has the same broadcast rule as np.where
    INFO:tensorflow:Calling model_fn.
    I0830 22:36:14.436142 140449568884608 estimator.py:1148] Calling model_fn.
    INFO:tensorflow:Running train on CPU
    I0830 22:36:14.436476 140449568884608 tpu_estimator.py:3124] Running train on CPU
    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:78: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

    W0830 22:36:14.436946 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:78: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/attention.py:41: The name tf.layers.Dense is deprecated. Please use tf.compat.v1.layers.Dense instead.

    W0830 22:36:14.437396 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/layers/attention.py:41: The name tf.layers.Dense is deprecated. Please use tf.compat.v1.layers.Dense instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

    W0830 22:36:14.488304 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

    W0830 22:36:14.488626 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:57: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:61: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

    W0830 22:36:14.488935 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/layers/embedding.py:61: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/layers/embedding.py:64: calling RandomNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
    Instructions for updating:
    Call initializer instance with the dtype argument instead of passing it to the constructor
    W0830 22:36:14.489209 140449568884608 deprecation.py:506] From /content/pegasus/pegasus/layers/embedding.py:64: calling RandomNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
    Instructions for updating:
    Call initializer instance with the dtype argument instead of passing it to the constructor
    WARNING:tensorflow:From /content/pegasus/pegasus/layers/attention.py:106: The name tf.matrix_band_part is deprecated. Please use tf.linalg.band_part instead.

    W0830 22:36:17.479444 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/layers/attention.py:106: The name tf.matrix_band_part is deprecated. Please use tf.linalg.band_part instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/models/transformer.py:108: The name tf.losses.softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.softmax_cross_entropy instead.

    W0830 22:36:22.510975 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/models/transformer.py:108: The name tf.losses.softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.softmax_cross_entropy instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:113: The name tf.train.get_global_step is deprecated. Please use tf.compat.v1.train.get_global_step instead.

    W0830 22:36:22.551383 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:113: The name tf.train.get_global_step is deprecated. Please use tf.compat.v1.train.get_global_step instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:114: The name tf.rsqrt is deprecated. Please use tf.math.rsqrt instead.

    W0830 22:36:22.551763 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:114: The name tf.rsqrt is deprecated. Please use tf.math.rsqrt instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:115: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    W0830 22:36:22.551957 140449568884608 deprecation.py:323] From /content/pegasus/pegasus/params/estimator_utils.py:115: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:315: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

    W0830 22:36:22.560439 140449568884608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:315: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:147: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    W0830 22:36:22.564935 140449568884608 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:147: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:156: The name tf.mod is deprecated. Please use tf.math.mod instead.

    W0830 22:36:22.567391 140449568884608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/quantization.py:156: The name tf.mod is deprecated. Please use tf.math.mod instead.

    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:244: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

    W0830 22:36:37.115567 140449568884608 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensor2tensor/utils/adafactor.py:244: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:189: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

    W0830 22:36:52.059795 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:189: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:205: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

    W0830 22:36:52.071296 140449568884608 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:205: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

    I0830 22:36:53.526131 140449568884608 estimator_utils.py:207] **** Trainable Variables ****
    I0830 22:36:53.526358 140449568884608 estimator_utils.py:212]   name = embeddings/weights:0, shape = (96103, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.526491 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.526600 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.526700 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.526790 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.526877 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.526964 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.527050 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.527132 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.527213 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.527296 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.527376 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.527459 140449568884608 estimator_utils.py:212]   name = encoder/layer_0/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.527539 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.527638 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.527722 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.527807 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.527891 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.527975 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.528058 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.528138 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.528221 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.528300 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.528382 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.528463 140449568884608 estimator_utils.py:212]   name = encoder/layer_1/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.528543 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.528644 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.528726 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.528808 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.528890 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.528977 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.529059 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.529143 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.529223 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.529305 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.529386 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.529469 140449568884608 estimator_utils.py:212]   name = encoder/layer_2/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.529551 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.529652 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.529734 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.529817 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.529897 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.529978 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.530059 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.530140 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.530223 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.530299 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.530377 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.530459 140449568884608 estimator_utils.py:212]   name = encoder/layer_3/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.530538 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.530636 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.530717 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.530800 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.530881 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.530962 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.531043 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.531121 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.531200 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.531280 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.531359 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.531439 140449568884608 estimator_utils.py:212]   name = encoder/layer_4/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.531517 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.531619 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.531700 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.531784 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.531865 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.531946 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.532026 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.532105 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.532183 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.532263 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.532342 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.532422 140449568884608 estimator_utils.py:212]   name = encoder/layer_5/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.532501 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.532596 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.532688 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.532768 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.532853 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.532934 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.533016 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.533095 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.533174 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.533255 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.533334 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.533413 140449568884608 estimator_utils.py:212]   name = encoder/layer_6/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.533492 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.533570 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.533673 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.533755 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.533836 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.533918 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.533999 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.534076 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.534154 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.534234 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.534314 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.534393 140449568884608 estimator_utils.py:212]   name = encoder/layer_7/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.534471 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.534549 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.534661 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.534734 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.534817 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.534899 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.534981 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.535059 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.535138 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.535218 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.535295 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.535375 140449568884608 estimator_utils.py:212]   name = encoder/layer_8/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.535452 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.535529 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.535627 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.535710 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.535796 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.535878 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.535961 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.536041 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.536118 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.536201 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.536281 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.555670 140449568884608 estimator_utils.py:212]   name = encoder/layer_9/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.555925 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.556056 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.556293 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.556417 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.556535 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.556683 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.556800 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.556911 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.557030 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.557137 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.557252 140449568884608 estimator_utils.py:212]   name = encoder/layer_10/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.557364 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.557474 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.557602 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.557740 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.557859 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.557978 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.558097 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.558209 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.558320 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.558434 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.558544 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.558693 140449568884608 estimator_utils.py:212]   name = encoder/layer_11/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.558809 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.558919 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.559031 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.559148 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.559267 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.559381 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.559496 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.559635 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.559756 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.559874 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.559986 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.560103 140449568884608 estimator_utils.py:212]   name = encoder/layer_12/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.560218 140449568884608 estimator_utils.py:212]   name = encoder/layer_13/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.560327 140449568884608 estimator_utils.py:212]   name = encoder/layer_13/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.560549 140449568884608 estimator_utils.py:212]   name = encoder/layer_13/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.560705 140449568884608 estimator_utils.py:212]   name = encoder/layer_13/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.560826 140449568884608 estimator_utils.py:212]   name = encoder/layer_13/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.560942 140449568884608 estimator_utils.py:212]   name = encoder/layer_13/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.561506 140449568884608 estimator_utils.py:212]   name = encoder/layer_13/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.561640 140449568884608 estimator_utils.py:212]   name = encoder/layer_14/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.562020 140449568884608 estimator_utils.py:212]   name = encoder/layer_14/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
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    I0830 22:36:53.562374 140449568884608 estimator_utils.py:212]   name = encoder/layer_14/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.562980 140449568884608 estimator_utils.py:212]   name = encoder/layer_14/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.563429 140449568884608 estimator_utils.py:212]   name = encoder/layer_15/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.563542 140449568884608 estimator_utils.py:212]   name = encoder/layer_15/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.563688 140449568884608 estimator_utils.py:212]   name = encoder/layer_15/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.563810 140449568884608 estimator_utils.py:212]   name = encoder/layer_15/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.564476 140449568884608 estimator_utils.py:212]   name = encoder/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.564600 140449568884608 estimator_utils.py:212]   name = encoder/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.564731 140449568884608 estimator_utils.py:212]   name = decoder/layer_0/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.565418 140449568884608 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.565786 140449568884608 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.565901 140449568884608 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.566016 140449568884608 estimator_utils.py:212]   name = decoder/layer_0/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.566132 140449568884608 estimator_utils.py:212]   name = decoder/layer_0/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.566727 140449568884608 estimator_utils.py:212]   name = decoder/layer_0/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.567512 140449568884608 estimator_utils.py:212]   name = decoder/layer_1/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.568235 140449568884608 estimator_utils.py:212]   name = decoder/layer_1/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.568346 140449568884608 estimator_utils.py:212]   name = decoder/layer_1/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.568453 140449568884608 estimator_utils.py:212]   name = decoder/layer_1/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.568570 140449568884608 estimator_utils.py:212]   name = decoder/layer_1/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.568713 140449568884608 estimator_utils.py:212]   name = decoder/layer_1/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.568831 140449568884608 estimator_utils.py:212]   name = decoder/layer_1/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.568942 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.569161 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.569277 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.569390 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.569504 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.569646 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.569762 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.569873 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.569988 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.570103 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.570219 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.570337 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.570445 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.570552 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.570698 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.570810 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.570928 140449568884608 estimator_utils.py:212]   name = decoder/layer_2/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.571040 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.571151 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.571261 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.571376 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.571490 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.571631 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.571758 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.571870 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.571980 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.572098 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.572212 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.572326 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.572441 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.572553 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.572696 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.572813 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.572962 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.573080 140449568884608 estimator_utils.py:212]   name = decoder/layer_3/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.573192 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.573301 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.573409 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.573523 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.573667 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.573789 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.573906 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.574016 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.574125 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.574237 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.574350 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.574465 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.574594 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.574733 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.574846 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.574964 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.575074 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.575188 140449568884608 estimator_utils.py:212]   name = decoder/layer_4/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.575298 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.575406 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.575515 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.575659 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.575781 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.575897 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.576015 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.576124 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.576234 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.576347 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.576462 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.576592 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.576727 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.576840 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.576951 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.577066 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.577177 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.577294 140449568884608 estimator_utils.py:212]   name = decoder/layer_5/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.577404 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.577513 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.577648 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.577769 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.577886 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.578001 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.578116 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.578227 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.578338 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.578444 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.578555 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.578701 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.578820 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.578933 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.579041 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.579155 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.579264 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.579378 140449568884608 estimator_utils.py:212]   name = decoder/layer_6/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.579485 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.579617 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.579737 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.579853 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.579968 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.580083 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.580200 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.580310 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.580419 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.580533 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.580677 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.580799 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.580917 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.581029 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.581139 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.581256 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.581364 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.581479 140449568884608 estimator_utils.py:212]   name = decoder/layer_7/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.581601 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.581751 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.581866 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.581980 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.582097 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.582216 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.582335 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.582445 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.582554 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.582701 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.582819 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.582937 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.583050 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.583160 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.583271 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.583385 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.583494 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.583664 140449568884608 estimator_utils.py:212]   name = decoder/layer_8/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.583793 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.583905 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.584016 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.584130 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.584247 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.584360 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.584475 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.584599 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.584731 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.584848 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.584963 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.585081 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.585216 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.585334 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.585446 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.585561 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.585714 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.585834 140449568884608 estimator_utils.py:212]   name = decoder/layer_9/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.585946 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.586056 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.586167 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.586284 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.586402 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.586515 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.586661 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.586779 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.586891 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.587007 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.587125 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.587242 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.587356 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.587466 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.587588 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.587720 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.587831 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.587948 140449568884608 estimator_utils.py:212]   name = decoder/layer_10/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.588058 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.588166 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.588274 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.588386 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.588501 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.588649 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.588777 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.588890 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.589000 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.589117 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.589232 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.589348 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.589462 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.589588 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.589715 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.589833 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.589942 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.590055 140449568884608 estimator_utils.py:212]   name = decoder/layer_11/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.590165 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.590276 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.590385 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.590520 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.590667 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.590787 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.590904 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.591013 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.591121 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.591236 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.591350 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.591465 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.591610 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.591735 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.591846 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.591961 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.592069 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.592186 140449568884608 estimator_utils.py:212]   name = decoder/layer_12/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.592297 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.592403 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.592513 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.592653 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.592776 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.592892 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.593010 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.593121 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.593234 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.593351 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.593466 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.593600 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.593734 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.593849 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.593958 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.594071 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.594182 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.594297 140449568884608 estimator_utils.py:212]   name = decoder/layer_13/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.594406 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.594514 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
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    I0830 22:36:53.594780 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.594895 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.595009 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.595125 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.595234 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.595342 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.595454 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.595568 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.595718 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.595837 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.595947 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.596055 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.596171 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.596280 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.596395 140449568884608 estimator_utils.py:212]   name = decoder/layer_14/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.596503 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/self_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.596637 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/self_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.596753 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/self_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.596869 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/self_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.596983 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/self_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.597099 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/self_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.597215 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.597325 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.597434 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/q_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.597545 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/k_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.597692 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/v_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.597814 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/memory_attention/output_proj/kernel:0, shape = (1024, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.597929 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/ffn/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.598041 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/ffn/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.598151 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense/kernel:0, shape = (1024, 4096), *INIT_FROM_CKPT*
    I0830 22:36:53.598266 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense/bias:0, shape = (4096,), *INIT_FROM_CKPT*
    I0830 22:36:53.598374 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense_1/kernel:0, shape = (4096, 1024), *INIT_FROM_CKPT*
    I0830 22:36:53.598489 140449568884608 estimator_utils.py:212]   name = decoder/layer_15/ffn/dense_1/bias:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.598624 140449568884608 estimator_utils.py:212]   name = decoder/LayerNorm/beta:0, shape = (1024,), *INIT_FROM_CKPT*
    I0830 22:36:53.598745 140449568884608 estimator_utils.py:212]   name = decoder/LayerNorm/gamma:0, shape = (1024,), *INIT_FROM_CKPT*
    INFO:tensorflow:Done calling model_fn.
    I0830 22:36:53.611234 140449568884608 estimator.py:1150] Done calling model_fn.
    INFO:tensorflow:Create CheckpointSaverHook.
    I0830 22:36:53.612718 140449568884608 basic_session_run_hooks.py:541] Create CheckpointSaverHook.
    INFO:tensorflow:Graph was finalized.
    I0830 22:37:01.954790 140449568884608 monitored_session.py:240] Graph was finalized.
    2020-08-30 22:37:01.955412: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
    2020-08-30 22:37:01.961025: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz
    2020-08-30 22:37:01.961365: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x260b800 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
    2020-08-30 22:37:01.961407: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
    INFO:tensorflow:Running local_init_op.
    I0830 22:37:48.325643 140449568884608 session_manager.py:500] Running local_init_op.
    INFO:tensorflow:Done running local_init_op.
    I0830 22:37:49.231556 140449568884608 session_manager.py:502] Done running local_init_op.
    INFO:tensorflow:Saving checkpoints for 0 into ckpt/pegasus_ckpt/reddit_tifu_long/model.ckpt.
    I0830 22:38:12.342087 140449568884608 basic_session_run_hooks.py:606] Saving checkpoints for 0 into ckpt/pegasus_ckpt/reddit_tifu_long/model.ckpt.
    2020-08-30 22:39:36.376378: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:145] Filling up shuffle buffer (this may take a while): 5540 of 10000
    2020-08-30 22:39:43.411281: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:195] Shuffle buffer filled.
    ^C

```
len("Musk’s current problems are less dire than those he faced in 2008, but Tesla and SpaceX are no longer experiments. Failure now would put thousands of jobs and billions of dollars at risk, and SpaceX has become crucial not just to the U.S. space program but also to countries and companies around the world hoping to put up satellites. Musk's supporters say he has built up enough credibility and has enough star power to raise money with relative ease or to be bailed out by one of his many ultrarich friends who share his aspirations. Just on technological merits, Musk’s companies have already changed the world. To the extent that the electric car is a commercial reality, it’s in large part thanks to Tesla. While it receives less attention, SpaceX and the revitalization of the U.S. aerospace industry may be Musk’s most stirring accomplishment. But at every point where his companies seem to be on stable footing, Musk takes on more and promises more, erasing the memory of past gains. The question is whether Musk can continue to operate on the edge of what’s possible — the key to his achievements so far.")
```

    1113

```
!python3 pegasus/bin/evaluate.py --params=test_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model,batch_size=1,beam_size=5,beam_alpha=0.6 \
--model_dir=ckpt/pegasus_ckpt/cnn_dailymail
```

    WARNING:tensorflow:From pegasus/bin/evaluate.py:152: The name tf.enable_eager_execution is deprecated. Please use tf.compat.v1.enable_eager_execution instead.

    WARNING:tensorflow:From pegasus/bin/evaluate.py:153: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

    WARNING:tensorflow:From pegasus/bin/evaluate.py:85: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use standard file APIs to check for files with this prefix.
    W0831 00:52:16.574285 140705774061440 deprecation.py:323] From pegasus/bin/evaluate.py:85: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use standard file APIs to check for files with this prefix.
    WARNING:tensorflow:From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    W0831 00:52:16.581033 140705774061440 module_wrapper.py:139] From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    W0831 00:52:16.809791 140705774061440 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    WARNING:tensorflow:Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7ff821e19d90>) includes params argument, but params are not passed to Estimator.
    W0831 00:52:16.810527 140705774061440 estimator.py:1994] Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7ff821e19d90>) includes params argument, but params are not passed to Estimator.
    INFO:tensorflow:Using config: {'_model_dir': 'ckpt/pegasus_ckpt/cnn_dailymail', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7ff821e0ce80>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    I0831 00:52:16.811165 140705774061440 estimator.py:212] Using config: {'_model_dir': 'ckpt/pegasus_ckpt/cnn_dailymail', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7ff821e0ce80>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    INFO:tensorflow:_TPUContext: eval_on_tpu True
    I0831 00:52:16.811460 140705774061440 tpu_context.py:220] _TPUContext: eval_on_tpu True
    WARNING:tensorflow:eval_on_tpu ignored because use_tpu is False.
    W0831 00:52:16.812344 140705774061440 tpu_context.py:222] eval_on_tpu ignored because use_tpu is False.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    W0831 00:52:16.828357 140705774061440 deprecation.py:506] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    ERROR:tensorflow:Error recorded from prediction_loop: Dataset name /content/pegasus/pegasus/data/testdata/test_pattern_1.tfrecord is not found in registered datasets.
    E0831 00:52:16.829222 140705774061440 error_handling.py:75] Error recorded from prediction_loop: Dataset name /content/pegasus/pegasus/data/testdata/test_pattern_1.tfrecord is not found in registered datasets.
    INFO:tensorflow:prediction_loop marked as finished
    I0831 00:52:16.829406 140705774061440 error_handling.py:101] prediction_loop marked as finished
    WARNING:tensorflow:Reraising captured error
    W0831 00:52:16.829526 140705774061440 error_handling.py:135] Reraising captured error
    Traceback (most recent call last):
      File "pegasus/bin/evaluate.py", line 153, in <module>
        tf.app.run(main)
      File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/platform/app.py", line 40, in run
        _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
      File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
        _run_main(main, args)
      File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
        sys.exit(main(argv))
      File "pegasus/bin/evaluate.py", line 144, in main
        FLAGS.enable_logging)
      File "/content/pegasus/pegasus/eval/text_eval.py", line 153, in text_eval
        for i, features in enumerate(features_iter):
      File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/tpu/tpu_estimator.py", line 3078, in predict
        rendezvous.raise_errors()
      File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/tpu/error_handling.py", line 136, in raise_errors
        six.reraise(typ, value, traceback)
      File "/usr/local/lib/python3.6/dist-packages/six.py", line 703, in reraise
        raise value
      File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/tpu/tpu_estimator.py", line 3072, in predict
        yield_single_examples=yield_single_examples):
      File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 620, in predict
        input_fn, ModeKeys.PREDICT)
      File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 996, in _get_features_from_input_fn
        result = self._call_input_fn(input_fn, mode)
      File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/tpu/tpu_estimator.py", line 2987, in _call_input_fn
        return input_fn(**kwargs)
      File "/content/pegasus/pegasus/data/infeed.py", line 41, in input_fn
        dataset = all_datasets.get_dataset(input_pattern, training)
      File "/content/pegasus/pegasus/data/all_datasets.py", line 51, in get_dataset
        builder = datasets.get_dataset(prefix)
      File "/content/pegasus/pegasus/data/datasets.py", line 30, in get_dataset
        dataset_name)
    ValueError: Dataset name /content/pegasus/pegasus/data/testdata/test_pattern_1.tfrecord is not found in registered datasets.

```
%load_ext tensorboard
```

```
!python3 pegasus/bin/train.py --params=reddit_tifu_long_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model \
--train_init_checkpoint=ckpt/pegasus_ckpt/model.ckpt-1500000 \
--model_dir=ckpt/pegasus_ckpt/reddit_tifu_long
```

```
!python3 pegasus/bin/train.py --params=reddit_tifu_long_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model \
--train_init_checkpoint=ckpt/pegasus_ckpt/model.ckpt-1500000 \
--model_dir=ckpt/pegasus_ckpt/reddit_tifu_long
```

```
!python3 pegasus/bin/train.py --params=reddit_tifu_long_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model \
--train_init_checkpoint=ckpt/pegasus_ckpt/model.ckpt-1500000 \
--model_dir=ckpt/pegasus_ckpt/reddit_tifu_long
```

```
!python3 pegasus/bin/train.py --params=reddit_tifu_long_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model \
--train_init_checkpoint=ckpt/pegasus_ckpt/model.ckpt-1500000 \
--model_dir=ckpt/pegasus_ckpt/reddit_tifu_long
```

```
!python3 pegasus/bin/train.py --params=newsroom_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model \
--train_init_checkpoint=ckpt/pegasus_ckpt/model.ckpt-1500000 \
--model_dir=ckpt/pegasus_ckpt/newsroom
```

    WARNING:tensorflow:From pegasus/bin/train.py:94: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    W0830 20:37:11.819154 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    W0830 20:37:12.039921 140679300540288 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    WARNING:tensorflow:Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7ff1f7ef6b70>) includes params argument, but params are not passed to Estimator.
    W0830 20:37:12.040601 140679300540288 estimator.py:1994] Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7ff1f7ef6b70>) includes params argument, but params are not passed to Estimator.
    INFO:tensorflow:Using config: {'_model_dir': 'ckpt/pegasus_ckpt/cnn_dailymail', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7ff1f7eeacc0>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    I0830 20:37:12.041142 140679300540288 estimator.py:212] Using config: {'_model_dir': 'ckpt/pegasus_ckpt/cnn_dailymail', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7ff1f7eeacc0>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    INFO:tensorflow:_TPUContext: eval_on_tpu True
    I0830 20:37:12.041419 140679300540288 tpu_context.py:220] _TPUContext: eval_on_tpu True
    WARNING:tensorflow:eval_on_tpu ignored because use_tpu is False.
    W0830 20:37:12.042281 140679300540288 tpu_context.py:222] eval_on_tpu ignored because use_tpu is False.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    W0830 20:37:12.058464 140679300540288 deprecation.py:506] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
    Instructions for updating:
    If using Keras pass *_constraint arguments to layers.
    WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
    W0830 20:37:12.059060 140679300540288 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
    2020-08-30 20:37:12.082075: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:37:12.284181: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:37:12.492001: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    I0830 20:37:12.679994 140679300540288 dataset_info.py:424] Load pre-computed DatasetInfo (eg: splits, num examples,...) from GCS: cnn_dailymail/plain_text/3.0.0
    2020-08-30 20:37:12.691979: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    I0830 20:37:12.889495 140679300540288 dataset_info.py:355] Load dataset info from /tmp/tmpfjl9s2ojtfds
    I0830 20:37:12.891554 140679300540288 dataset_info.py:395] Field info.description from disk and from code do not match. Keeping the one from code.
    I0830 20:37:12.891799 140679300540288 dataset_info.py:395] Field info.config_name from disk and from code do not match. Keeping the one from code.
    I0830 20:37:12.891911 140679300540288 dataset_info.py:395] Field info.citation from disk and from code do not match. Keeping the one from code.
    I0830 20:37:12.892290 140679300540288 dataset_builder.py:349] Generating dataset cnn_dailymail (/root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0)
    Downloading and preparing dataset cnn_dailymail/plain_text/3.0.0 (download: 558.32 MiB, generated: 1.27 GiB, total: 1.82 GiB) to /root/tensorflow_datasets/cnn_dailymail/plain_text/3.0.0...
    2020-08-30 20:37:12.987470: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    2020-08-30 20:37:13.172744: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.".
    Dl Completed...: 0 url [00:00, ? url/s]
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    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:13.361479 140679300540288 download_manager.py:478] Downloading https://drive.google.com/uc?export=download&id=0BwmD_VLjROrfTHk4NFg2SndKcjQ into /root/tensorflow_datasets/downloads/ucexport_download_id_0BwmD_VLjROrfTHk4NFg2SndKG8BdJPpt2iRo6Dpzz23CByJuAePEilB-pxbcBCHaWDs.tmp.1437134628dd45d5a7d52e4768f2c7c0...
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    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:13.363606 140679300540288 download_manager.py:478] Downloading https://drive.google.com/uc?export=download&id=0BwmD_VLjROrfM1BxdkxVaTY2bWs into /root/tensorflow_datasets/downloads/ucexport_download_id_0BwmD_VLjROrfM1BxdkxVaTY2zVV-G71RIXPssrrvSAjt19Cy91r-9CQ2F9DMKA0uFk0.tmp.fe8cc85ee66e45d8ac54a0992b0e5f9b...
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    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:13.368501 140679300540288 download_manager.py:478] Downloading https://raw.githubusercontent.com/abisee/cnn-dailymail/master/url_lists/all_test.txt into /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_a705_isK790OHOPsIZX-ACsObq_vchU9r5Uduh6ULX3c.txt.tmp.aca66360d25b406b8ab2686e678486af...
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    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:13.371487 140679300540288 download_manager.py:478] Downloading https://raw.githubusercontent.com/abisee/cnn-dailymail/master/url_lists/all_train.txt into /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_ac8YFmYLc8VRUvf04x1htoZoMCha8FjkWxZzzNI42_Qk.txt.tmp.9819c04a98cf4a8cade5f5c39cafe909...
    Dl Completed...:   0% 0/4 [00:00<?, ? url/s]
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    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:13.376146 140679300540288 download_manager.py:478] Downloading https://raw.githubusercontent.com/abisee/cnn-dailymail/master/url_lists/all_val.txt into /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_aICtMBRotWZqhw9th-ABXYHIqhoG-ATk7YrhmKRDVCdU.txt.tmp.83160b8cdcb746b6a399e7d2c6b34561...
    Dl Completed...:   0% 0/5 [00:00<?, ? url/s]
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    Extraction completed...: 0 file [00:00, ? file/s]
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    Dl Size...: 1 MiB [00:00,  1.25 MiB/s]

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    Dl Completed...:  20% 1/5 [00:00<00:03,  1.19 url/s]
    Dl Size...: 3 MiB [00:00,  1.25 MiB/s]

    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:14.204159 140677177947904 download_manager.py:497] Skipping extraction for /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_a705_isK790OHOPsIZX-ACsObq_vchU9r5Uduh6ULX3c.txt (method=NO_EXTRACT).
    Dl Completed...:  20% 1/5 [00:00<00:03,  1.19 url/s]
    Dl Size...: 4 MiB [00:00,  1.25 MiB/s]

    Dl Completed...:  40% 2/5 [00:00<00:02,  1.19 url/s]
    Dl Size...: 4 MiB [00:00,  1.25 MiB/s]

    Extraction completed...: 0 file [00:00, ? file/s]I0830 20:37:14.222264 140677161162496 download_manager.py:497] Skipping extraction for /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_aICtMBRotWZqhw9th-ABXYHIqhoG-ATk7YrhmKRDVCdU.txt (method=NO_EXTRACT).
    Dl Completed...:  40% 2/5 [00:01<00:02,  1.19 url/s]
    Dl Size...: 4 MiB [00:01,  1.25 MiB/s]

    Extraction completed...: 0 file [00:01, ? file/s]
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    Dl Size...: 5 MiB [00:01,  1.59 MiB/s]

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    Dl Size...: 6 MiB [00:01,  1.59 MiB/s]

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    Dl Size...: 7 MiB [00:01,  1.59 MiB/s]

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    Dl Size...: 8 MiB [00:01,  1.59 MiB/s]

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    Dl Size...: 9 MiB [00:01,  1.59 MiB/s]

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    Dl Size...: 10 MiB [00:01,  1.59 MiB/s]

    Extraction completed...: 0 file [00:01, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 11 MiB [00:02,  2.19 MiB/s]

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    Dl Size...: 15 MiB [00:02,  2.19 MiB/s]

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    Dl Size...: 16 MiB [00:02,  2.19 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 17 MiB [00:02,  2.19 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 18 MiB [00:02,  2.19 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 19 MiB [00:02,  2.19 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 20 MiB [00:02,  2.19 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 21 MiB [00:02,  2.19 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 22 MiB [00:02,  2.19 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 23 MiB [00:02,  3.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 24 MiB [00:02,  3.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 25 MiB [00:02,  3.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 26 MiB [00:02,  3.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 27 MiB [00:02,  3.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 28 MiB [00:02,  3.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 29 MiB [00:02,  3.10 MiB/s]

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    Dl Size...: 30 MiB [00:02,  3.10 MiB/s]

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    Dl Size...: 31 MiB [00:02,  3.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
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    Dl Size...: 33 MiB [00:02,  3.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 34 MiB [00:02,  3.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 35 MiB [00:02,  3.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 36 MiB [00:02,  3.10 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 37 MiB [00:02,  4.39 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 38 MiB [00:02,  4.39 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 39 MiB [00:02,  4.39 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 40 MiB [00:02,  4.39 MiB/s]

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    Dl Size...: 41 MiB [00:02,  4.39 MiB/s]

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    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
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    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 45 MiB [00:02,  4.39 MiB/s]

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    Dl Size...: 46 MiB [00:02,  4.39 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 47 MiB [00:02,  4.39 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 48 MiB [00:02,  4.39 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 49 MiB [00:02,  6.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
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    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
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    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 52 MiB [00:02,  6.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 53 MiB [00:02,  6.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 54 MiB [00:02,  6.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 55 MiB [00:02,  6.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 56 MiB [00:02,  6.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 57 MiB [00:02,  6.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 58 MiB [00:02,  6.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 59 MiB [00:02,  6.17 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 60 MiB [00:02,  8.60 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 61 MiB [00:02,  8.60 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 62 MiB [00:02,  8.60 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 63 MiB [00:02,  8.60 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 64 MiB [00:02,  8.60 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 65 MiB [00:02,  8.60 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 66 MiB [00:02,  8.60 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 67 MiB [00:02,  8.60 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 68 MiB [00:02,  8.60 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 69 MiB [00:02,  8.60 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 70 MiB [00:02,  8.60 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 71 MiB [00:02, 11.84 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 72 MiB [00:02, 11.84 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 73 MiB [00:02, 11.84 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 74 MiB [00:02, 11.84 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 75 MiB [00:02, 11.84 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 76 MiB [00:02, 11.84 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 77 MiB [00:02, 11.84 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 78 MiB [00:02, 11.84 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 79 MiB [00:02, 11.84 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 80 MiB [00:02, 11.84 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 81 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 82 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 83 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 84 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 85 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 86 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 87 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 88 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 89 MiB [00:02, 16.06 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 90 MiB [00:02, 16.06 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 91 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 92 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 93 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 94 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 95 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 96 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 97 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 98 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 99 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 100 MiB [00:02, 21.45 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 101 MiB [00:02, 21.45 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 102 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 103 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 104 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 105 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 106 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 107 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 108 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 109 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 110 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 111 MiB [00:02, 28.12 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 112 MiB [00:02, 28.12 MiB/s]

    Extraction completed...: 0 file [00:02, ? file/s]
    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 113 MiB [00:02, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:02<00:02,  1.19 url/s]
    Dl Size...: 114 MiB [00:02, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 115 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 116 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 117 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 118 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 119 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 120 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 121 MiB [00:03, 36.10 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 122 MiB [00:03, 36.10 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 123 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 124 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 125 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 126 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 127 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 128 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 129 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 130 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 131 MiB [00:03, 43.22 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 132 MiB [00:03, 43.22 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 133 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 134 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 135 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 136 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 137 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 138 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 139 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 140 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 141 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 142 MiB [00:03, 50.56 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 143 MiB [00:03, 50.56 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 144 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 145 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 146 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 147 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 148 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 149 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 150 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 151 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 152 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 153 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 154 MiB [00:03, 59.31 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 155 MiB [00:03, 59.31 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 156 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 157 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 158 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 159 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 160 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 161 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 162 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 163 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 164 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 165 MiB [00:03, 68.63 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 166 MiB [00:03, 68.63 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 167 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 168 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 169 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 170 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 171 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 172 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 173 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 174 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 175 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 176 MiB [00:03, 76.17 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 177 MiB [00:03, 76.17 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 178 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 179 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 180 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 181 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 182 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 183 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 184 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 185 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 186 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 187 MiB [00:03, 83.80 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 188 MiB [00:03, 83.80 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 189 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 190 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 191 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 192 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 193 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 194 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 195 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 196 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 197 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 198 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 199 MiB [00:03, 88.50 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 200 MiB [00:03, 88.50 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 201 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 202 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 203 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 204 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 205 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 206 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 207 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 208 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 209 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 210 MiB [00:03, 92.83 MiB/s]

    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 211 MiB [00:03, 92.83 MiB/s]

    Extraction completed...: 0 file [00:03, ? file/s]
    Dl Completed...:  40% 2/5 [00:03<00:02,  1.19 url/s]
    Dl Size...: 212 MiB [00:03, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 213 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 214 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 215 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 216 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 217 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 218 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 219 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 220 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 221 MiB [00:04, 95.34 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 222 MiB [00:04, 95.34 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 223 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 224 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 225 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 226 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 227 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 228 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 229 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 230 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 231 MiB [00:04, 89.91 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 232 MiB [00:04, 89.91 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 233 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 234 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 235 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 236 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 237 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 238 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 239 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 240 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 241 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 242 MiB [00:04, 92.09 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 243 MiB [00:04, 92.09 MiB/s]

    Extraction completed...: 0 file [00:04, ? file/s]
    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 244 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 245 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 246 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 247 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 248 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 249 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  40% 2/5 [00:04<00:02,  1.19 url/s]
    Dl Size...: 250 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  60% 3/5 [00:04<00:02,  1.12s/ url]
    Dl Size...: 250 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  60% 3/5 [00:04<00:02,  1.12s/ url]
    Dl Size...: 250 MiB [00:04, 96.24 MiB/s]

    Dl Completed...:  60% 3/5 [00:05<00:02,  1.12s/ url]
    Dl Size...: 251 MiB [00:05, 96.24 MiB/s]

    Dl Completed...:  60% 3/5 [00:05<00:02,  1.12s/ url]
    Dl Size...: 252 MiB [00:05, 96.24 MiB/s]

    Dl Completed...:  60% 3/5 [00:05<00:02,  1.12s/ url]
    Dl Size...: 253 MiB [00:05, 96.24 MiB/s]

    Extraction completed...:   0% 0/1 [00:05<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:05<00:02,  1.12s/ url]
    Dl Size...: 254 MiB [00:05, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 254 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 255 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 256 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 257 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 258 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 259 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 260 MiB [00:06, 17.79 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 261 MiB [00:06, 17.79 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 262 MiB [00:06, 20.63 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 263 MiB [00:06, 20.63 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 264 MiB [00:06, 20.63 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 265 MiB [00:06, 20.63 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 266 MiB [00:06, 20.63 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 267 MiB [00:06, 20.63 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 268 MiB [00:06, 25.04 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 269 MiB [00:06, 25.04 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 270 MiB [00:06, 25.04 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 271 MiB [00:06, 25.04 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 272 MiB [00:06, 25.04 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 273 MiB [00:06, 25.04 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 274 MiB [00:06, 29.20 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 275 MiB [00:06, 29.20 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 276 MiB [00:06, 29.20 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 277 MiB [00:06, 29.20 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 278 MiB [00:06, 29.20 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 279 MiB [00:06, 29.20 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 280 MiB [00:06, 31.89 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 281 MiB [00:06, 31.89 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 282 MiB [00:06, 31.89 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 283 MiB [00:06, 31.89 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 284 MiB [00:06, 31.89 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 285 MiB [00:06, 31.89 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 286 MiB [00:06, 36.36 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 287 MiB [00:06, 36.36 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 288 MiB [00:06, 36.36 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 289 MiB [00:06, 36.36 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 290 MiB [00:06, 36.36 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 291 MiB [00:06, 36.36 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 292 MiB [00:06, 39.03 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 293 MiB [00:06, 39.03 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 294 MiB [00:06, 39.03 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 295 MiB [00:06, 39.03 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 296 MiB [00:06, 39.03 MiB/s]

    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 297 MiB [00:06, 39.03 MiB/s]

    Extraction completed...:   0% 0/1 [00:06<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:06<00:02,  1.12s/ url]
    Dl Size...: 298 MiB [00:06, 39.93 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 299 MiB [00:07, 39.93 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 300 MiB [00:07, 39.93 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 301 MiB [00:07, 39.93 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 302 MiB [00:07, 39.93 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 303 MiB [00:07, 41.62 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 304 MiB [00:07, 41.62 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 305 MiB [00:07, 41.62 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 306 MiB [00:07, 41.62 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 307 MiB [00:07, 41.62 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 308 MiB [00:07, 41.62 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 309 MiB [00:07, 43.27 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 310 MiB [00:07, 43.27 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 311 MiB [00:07, 43.27 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 312 MiB [00:07, 43.27 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 313 MiB [00:07, 43.27 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 314 MiB [00:07, 43.67 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 315 MiB [00:07, 43.67 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 316 MiB [00:07, 43.67 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 317 MiB [00:07, 43.67 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 318 MiB [00:07, 43.67 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 319 MiB [00:07, 45.26 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 320 MiB [00:07, 45.26 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 321 MiB [00:07, 45.26 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 322 MiB [00:07, 45.26 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 323 MiB [00:07, 45.26 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 324 MiB [00:07, 45.26 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 325 MiB [00:07, 44.15 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 326 MiB [00:07, 44.15 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 327 MiB [00:07, 44.15 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 328 MiB [00:07, 44.15 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 329 MiB [00:07, 44.15 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 330 MiB [00:07, 44.15 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 331 MiB [00:07, 46.61 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 332 MiB [00:07, 46.61 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 333 MiB [00:07, 46.61 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 334 MiB [00:07, 46.61 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 335 MiB [00:07, 46.61 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 336 MiB [00:07, 40.13 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 337 MiB [00:07, 40.13 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 338 MiB [00:07, 40.13 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 339 MiB [00:07, 40.13 MiB/s]

    Dl Completed...:  60% 3/5 [00:07<00:02,  1.12s/ url]
    Dl Size...: 340 MiB [00:07, 40.13 MiB/s]

    Extraction completed...:   0% 0/1 [00:07<?, ? file/s]
    Dl Completed...:  60% 3/5 [00:08<00:02,  1.12s/ url]
    Dl Size...: 341 MiB [00:08, 37.33 MiB/s]

    Dl Completed...:  60% 3/5 [00:08<00:02,  1.12s/ url]
    Dl Size...: 342 MiB [00:08, 37.33 MiB/s]

    Dl Completed...:  60% 3/5 [00:08<00:02,  1.12s/ url]
    Dl Size...: 343 MiB [00:08, 37.33 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 343 MiB [00:08, 37.33 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]I0830 20:37:21.425402 140677169555200 download_manager.py:497] Skipping extraction for /root/tensorflow_datasets/downloads/raw.gith.com_abis_cnn-dail_mast_url_list_ac8YFmYLc8VRUvf04x1htoZoMCha8FjkWxZzzNI42_Qk.txt (method=NO_EXTRACT).
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 344 MiB [00:08, 37.33 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 345 MiB [00:08, 34.05 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 346 MiB [00:08, 34.05 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 347 MiB [00:08, 34.05 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 348 MiB [00:08, 34.05 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 349 MiB [00:08, 29.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 350 MiB [00:08, 29.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 351 MiB [00:08, 29.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 352 MiB [00:08, 29.08 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 353 MiB [00:08, 26.49 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 354 MiB [00:08, 26.49 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 355 MiB [00:08, 26.49 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 356 MiB [00:08, 24.65 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 357 MiB [00:08, 24.65 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 358 MiB [00:08, 24.65 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 359 MiB [00:08, 23.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 360 MiB [00:08, 23.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 361 MiB [00:08, 23.08 MiB/s]

    Extraction completed...:   0% 0/1 [00:08<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:08<00:01,  1.89s/ url]
    Dl Size...: 362 MiB [00:08, 22.37 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 363 MiB [00:09, 22.37 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 364 MiB [00:09, 22.37 MiB/s]

    Extraction completed...:   0% 0/1 [00:09<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 365 MiB [00:09, 21.06 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 366 MiB [00:09, 21.06 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 367 MiB [00:09, 21.06 MiB/s]

    Extraction completed...:   0% 0/1 [00:09<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 368 MiB [00:09, 16.23 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 369 MiB [00:09, 16.23 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 370 MiB [00:09, 16.23 MiB/s]

    Extraction completed...:   0% 0/1 [00:09<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 371 MiB [00:09, 18.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 372 MiB [00:09, 18.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 373 MiB [00:09, 18.20 MiB/s]

    Extraction completed...:   0% 0/1 [00:09<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:09<00:01,  1.89s/ url]
    Dl Size...: 374 MiB [00:09, 19.52 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 375 MiB [00:10, 19.52 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 376 MiB [00:10, 19.52 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 377 MiB [00:10, 11.74 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 378 MiB [00:10, 11.74 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 379 MiB [00:10, 11.74 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 380 MiB [00:10, 13.87 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 381 MiB [00:10, 13.87 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 382 MiB [00:10, 13.87 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 383 MiB [00:10, 12.99 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 384 MiB [00:10, 12.99 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 385 MiB [00:10, 12.99 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 386 MiB [00:10, 14.90 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 387 MiB [00:10, 14.90 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 388 MiB [00:10, 14.90 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 389 MiB [00:10, 16.89 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 390 MiB [00:10, 16.89 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 391 MiB [00:10, 16.89 MiB/s]

    Extraction completed...:   0% 0/1 [00:10<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 392 MiB [00:10, 17.82 MiB/s]

    Dl Completed...:  80% 4/5 [00:10<00:01,  1.89s/ url]
    Dl Size...: 393 MiB [00:10, 17.82 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 394 MiB [00:11, 17.82 MiB/s]

    Extraction completed...:   0% 0/1 [00:11<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 395 MiB [00:11, 19.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 396 MiB [00:11, 19.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 397 MiB [00:11, 19.08 MiB/s]

    Extraction completed...:   0% 0/1 [00:11<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 398 MiB [00:11, 20.16 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 399 MiB [00:11, 20.16 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 400 MiB [00:11, 20.16 MiB/s]

    Extraction completed...:   0% 0/1 [00:11<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 401 MiB [00:11, 20.91 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 402 MiB [00:11, 20.91 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 403 MiB [00:11, 20.91 MiB/s]

    Extraction completed...:   0% 0/1 [00:11<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 404 MiB [00:11, 21.43 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 405 MiB [00:11, 21.43 MiB/s]

    Dl Completed...:  80% 4/5 [00:11<00:01,  1.89s/ url]
    Dl Size...: 406 MiB [00:11, 21.43 MiB/s]

    Extraction completed...:   0% 0/1 [00:11<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 407 MiB [00:12, 11.14 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 408 MiB [00:12, 11.14 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 409 MiB [00:12, 11.14 MiB/s]

    Extraction completed...:   0% 0/1 [00:12<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 410 MiB [00:12, 13.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 411 MiB [00:12, 13.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 412 MiB [00:12, 13.20 MiB/s]

    Extraction completed...:   0% 0/1 [00:12<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 413 MiB [00:12, 15.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 414 MiB [00:12, 15.20 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 415 MiB [00:12, 15.20 MiB/s]

    Extraction completed...:   0% 0/1 [00:12<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 416 MiB [00:12, 12.68 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 417 MiB [00:12, 12.68 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 418 MiB [00:12, 12.68 MiB/s]

    Extraction completed...:   0% 0/1 [00:12<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 419 MiB [00:12, 13.46 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 420 MiB [00:12, 13.46 MiB/s]

    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 421 MiB [00:12, 13.46 MiB/s]

    Extraction completed...:   0% 0/1 [00:12<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:12<00:01,  1.89s/ url]
    Dl Size...: 422 MiB [00:12, 15.81 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 423 MiB [00:13, 15.81 MiB/s]

    Extraction completed...:   0% 0/1 [00:13<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 424 MiB [00:13, 11.30 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 425 MiB [00:13, 11.30 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 426 MiB [00:13, 11.30 MiB/s]

    Extraction completed...:   0% 0/1 [00:13<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 427 MiB [00:13, 13.49 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 428 MiB [00:13, 13.49 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 429 MiB [00:13, 13.49 MiB/s]

    Extraction completed...:   0% 0/1 [00:13<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 430 MiB [00:13, 15.50 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 431 MiB [00:13, 15.50 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 432 MiB [00:13, 15.50 MiB/s]

    Extraction completed...:   0% 0/1 [00:13<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 433 MiB [00:13, 10.73 MiB/s]

    Dl Completed...:  80% 4/5 [00:13<00:01,  1.89s/ url]
    Dl Size...: 434 MiB [00:13, 10.73 MiB/s]

    Dl Completed...:  80% 4/5 [00:14<00:01,  1.89s/ url]
    Dl Size...: 435 MiB [00:14, 10.73 MiB/s]

    Extraction completed...:   0% 0/1 [00:14<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:14<00:01,  1.89s/ url]
    Dl Size...: 436 MiB [00:14, 13.02 MiB/s]

    Dl Completed...:  80% 4/5 [00:14<00:01,  1.89s/ url]
    Dl Size...: 437 MiB [00:14, 13.02 MiB/s]

    Extraction completed...:   0% 0/1 [00:14<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:14<00:01,  1.89s/ url]
    Dl Size...: 438 MiB [00:14, 14.48 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 439 MiB [00:15, 14.48 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 440 MiB [00:15,  4.72 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 441 MiB [00:15,  4.72 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 442 MiB [00:15,  4.72 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 443 MiB [00:15,  6.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 444 MiB [00:15,  6.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 445 MiB [00:15,  6.21 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 446 MiB [00:15,  7.97 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 447 MiB [00:15,  7.97 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 448 MiB [00:15,  7.97 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 449 MiB [00:15,  9.96 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 450 MiB [00:15,  9.96 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 451 MiB [00:15,  9.96 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 452 MiB [00:15, 12.10 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 453 MiB [00:15, 12.10 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 454 MiB [00:15, 12.10 MiB/s]

    Extraction completed...:   0% 0/1 [00:15<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 455 MiB [00:15, 13.11 MiB/s]

    Dl Completed...:  80% 4/5 [00:15<00:01,  1.89s/ url]
    Dl Size...: 456 MiB [00:15, 13.11 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 457 MiB [00:16, 13.11 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 458 MiB [00:16, 15.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 459 MiB [00:16, 15.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 460 MiB [00:16, 15.21 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 461 MiB [00:16, 17.24 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 462 MiB [00:16, 17.24 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 463 MiB [00:16, 17.24 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 464 MiB [00:16, 16.88 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 465 MiB [00:16, 16.88 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 466 MiB [00:16, 16.88 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 467 MiB [00:16, 18.61 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 468 MiB [00:16, 18.61 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 469 MiB [00:16, 18.61 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 470 MiB [00:16, 20.22 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 471 MiB [00:16, 20.22 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 472 MiB [00:16, 20.22 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 473 MiB [00:16, 20.66 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 474 MiB [00:16, 20.66 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 475 MiB [00:16, 20.66 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 476 MiB [00:16, 21.18 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 477 MiB [00:16, 21.18 MiB/s]

    Dl Completed...:  80% 4/5 [00:16<00:01,  1.89s/ url]
    Dl Size...: 478 MiB [00:16, 21.18 MiB/s]

    Extraction completed...:   0% 0/1 [00:16<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 479 MiB [00:17, 21.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 480 MiB [00:17, 21.08 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 481 MiB [00:17, 21.08 MiB/s]

    Extraction completed...:   0% 0/1 [00:17<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 482 MiB [00:17, 21.28 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 483 MiB [00:17, 21.28 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 484 MiB [00:17, 21.28 MiB/s]

    Extraction completed...:   0% 0/1 [00:17<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 485 MiB [00:17, 21.84 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 486 MiB [00:17, 21.84 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 487 MiB [00:17, 21.84 MiB/s]

    Extraction completed...:   0% 0/1 [00:17<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 488 MiB [00:17, 22.07 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 489 MiB [00:17, 22.07 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 490 MiB [00:17, 22.07 MiB/s]

    Extraction completed...:   0% 0/1 [00:17<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 491 MiB [00:17, 22.92 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 492 MiB [00:17, 22.92 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 493 MiB [00:17, 22.92 MiB/s]

    Extraction completed...:   0% 0/1 [00:17<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 494 MiB [00:17, 23.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 495 MiB [00:17, 23.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 496 MiB [00:17, 23.21 MiB/s]

    Extraction completed...:   0% 0/1 [00:17<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 497 MiB [00:17, 23.48 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 498 MiB [00:17, 23.48 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 499 MiB [00:17, 23.48 MiB/s]

    Extraction completed...:   0% 0/1 [00:17<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 500 MiB [00:17, 24.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 501 MiB [00:17, 24.21 MiB/s]

    Dl Completed...:  80% 4/5 [00:17<00:01,  1.89s/ url]
    Dl Size...: 502 MiB [00:17, 24.21 MiB/s]

    Extraction completed...:   0% 0/1 [00:17<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:18<00:01,  1.89s/ url]
    Dl Size...: 503 MiB [00:18, 17.52 MiB/s]

    Dl Completed...:  80% 4/5 [00:18<00:01,  1.89s/ url]
    Dl Size...: 504 MiB [00:18, 17.52 MiB/s]

    Dl Completed...:  80% 4/5 [00:18<00:01,  1.89s/ url]
    Dl Size...: 505 MiB [00:18, 17.52 MiB/s]

    Extraction completed...:   0% 0/1 [00:18<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:18<00:01,  1.89s/ url]
    Dl Size...: 506 MiB [00:18, 19.33 MiB/s]

    Dl Completed...:  80% 4/5 [00:18<00:01,  1.89s/ url]
    Dl Size...: 507 MiB [00:18, 19.33 MiB/s]

    Dl Completed...:  80% 4/5 [00:18<00:01,  1.89s/ url]
    Dl Size...: 508 MiB [00:18, 19.33 MiB/s]

    Extraction completed...:   0% 0/1 [00:18<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:18<00:01,  1.89s/ url]
    Dl Size...: 509 MiB [00:18, 20.05 MiB/s]

    Dl Completed...:  80% 4/5 [00:18<00:01,  1.89s/ url]
    Dl Size...: 510 MiB [00:18, 20.05 MiB/s]

    Dl Completed...:  80% 4/5 [00:18<00:01,  1.89s/ url]
    Dl Size...: 511 MiB [00:18, 20.05 MiB/s]

    Extraction completed...:   0% 0/1 [00:18<?, ? file/s]
    Dl Completed...:  80% 4/5 [00:18<00:01,  1.89s/ url]
    Dl Size...: 512 MiB [00:18, 18.84 MiB/s]

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    Dl Size...: 513 MiB [00:18, 18.84 MiB/s]

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    I0830 20:39:02.158226 140679300540288 dataset_builder.py:953] Generating split train
    55563 examples [00:36, 1499.97 examples/s]

```
!python3 pegasus/bin/evaluate.py --params=reddit_tifu_long_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model,batch_size=1,beam_size=5,beam_alpha=0.6 \
--model_dir=ckpt/pegasus_ckpt/aeslc
```

    WARNING:tensorflow:From pegasus/bin/evaluate.py:152: The name tf.enable_eager_execution is deprecated. Please use tf.compat.v1.enable_eager_execution instead.

    WARNING:tensorflow:From pegasus/bin/evaluate.py:153: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

    WARNING:tensorflow:From pegasus/bin/evaluate.py:85: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use standard file APIs to check for files with this prefix.
    W0830 20:31:40.234149 140633733166976 deprecation.py:323] From pegasus/bin/evaluate.py:85: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use standard file APIs to check for files with this prefix.
    WARNING:tensorflow:From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    W0830 20:31:40.240438 140633733166976 module_wrapper.py:139] From /content/pegasus/pegasus/ops/public_parsing_ops.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

    WARNING:tensorflow:From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    W0830 20:31:40.465881 140633733166976 module_wrapper.py:139] From /content/pegasus/pegasus/params/estimator_utils.py:49: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

    WARNING:tensorflow:Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7fe75be8bc80>) includes params argument, but params are not passed to Estimator.
    W0830 20:31:40.466556 140633733166976 estimator.py:1994] Estimator's model_fn (<function _estimator_model_fn.<locals>.model_fn at 0x7fe75be8bc80>) includes params argument, but params are not passed to Estimator.
    INFO:tensorflow:Using config: {'_model_dir': 'ckpt/pegasus_ckpt/aeslc', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fe75be1f128>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    I0830 20:31:40.467090 140633733166976 estimator.py:212] Using config: {'_model_dir': 'ckpt/pegasus_ckpt/aeslc', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true
    , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fe75be1f128>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=None, num_cores_per_replica=None, per_host_input_for_training=2, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None, eval_training_input_configuration=2, experimental_host_call_every_n_steps=1), '_cluster': None}
    INFO:tensorflow:_TPUContext: eval_on_tpu True
    I0830 20:31:40.467371 140633733166976 tpu_context.py:220] _TPUContext: eval_on_tpu True
    WARNING:tensorflow:eval_on_tpu ignored because use_tpu is False.
    W0830 20:31:40.468221 140633733166976 tpu_context.py:222] eval_on_tpu ignored because use_tpu is False.
    Traceback (most recent call last):
      File "pegasus/bin/evaluate.py", line 153, in <module>
        tf.app.run(main)
      File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/platform/app.py", line 40, in run
        _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
      File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
        _run_main(main, args)
      File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
        sys.exit(main(argv))
      File "pegasus/bin/evaluate.py", line 126, in main
        global_step = estimator.get_variable_value("global_step")
      File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 267, in get_variable_value
        _check_checkpoint_available(self.model_dir)
      File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1929, in _check_checkpoint_available
        'Could not find trained model in model_dir: {}.'.format(model_dir))
    ValueError: Could not find trained model in model_dir: ckpt/pegasus_ckpt/aeslc.

@registry.register("reddit_tifu_long_transformer")
def reddit_tifu_long_transformer(param_overrides):
  return transformer_params(
      {
          "train_pattern": "tfds_transformed:reddit_tifu/long-train",
          "dev_pattern": "tfds_transformed:reddit_tifu/long-validation",
          "test_pattern": "tfds_transformed:reddit_tifu/long-test",
          "max_input_len": 1024,
          "max_output_len": 128,
          "train_steps": 8000,
          "learning_rate": 0.0001,
          "batch_size": 8,
      }, param_overrides)

```
#from google.colab import drive
#drive.mount("/content/drive/", force_remount=True)
```

```
!python3 pegasus/bin/evaluate.py --params=aeslc_transformer \
--param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model,batch_size=1,beam_size=5,beam_alpha=0.6 \
--model_dir=ckpt/pegasus_ckpt/aeslc
```

```

```