Colabtools: Load cycle_gan/horse2zebra dataset warning

[markus-weiss]

Hello,

I tested the CycleGan without any changes at 09.11.2019 10:23.

Here the link to the tensorflow page:
https://colab.research.google.com/github/tensorflow/docs/blob/r2.0rc/site/en/r2/tutorials/generative/cyclegan.ipynb

At the Input Pipeline I want to run the follow command:
dataset, metadata = tfds.load('cycle_gan/horse2zebra', with_info=True, as_supervised=True) train_horses, train_zebras = dataset['trainA'], dataset['trainB'] test_horses, test_zebras = dataset['testA'], dataset['testB']

Then I recieved the below listed Warning and I followed the instructions:

could not be transformed and will be executed as-is. Please report this to the AutoGraph team.

Downloading and preparing dataset cycle_gan (111.45 MiB) to /root/tensorflow_datasets/cycle_gan/horse2zebra/0.1.0... /usr/local/lib/python3.6/dist-packages/urllib3/connectionpool.py:847: InsecureRequestWarning: Unverified HTTPS request is being made. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings InsecureRequestWarning) WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_datasets/core/file_format_adapter.py:209: tf_record_iterator (from tensorflow.python.lib.io.tf_record) is deprecated and will be removed in a future version. Instructions for updating: Use eager execution and: tf.data.TFRecordDataset(path) WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_datasets/core/file_format_adapter.py:209: tf_record_iterator (from tensorflow.python.lib.io.tf_record) is deprecated and will be removed in a future version. Instructions for updating: Use eager execution and: tf.data.TFRecordDataset(path) Dataset cycle_gan downloaded and prepared to /root/tensorflow_datasets/cycle_gan/horse2zebra/0.1.0. Subsequent calls will reuse this data. WARNING:tensorflow:Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING:tensorflow:Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING: Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING:tensorflow:Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING:tensorflow:Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING: Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING:tensorflow:Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING:tensorflow:Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING: Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING:tensorflow:Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING:tensorflow:Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4 WARNING: Entity <bound method TopLevelFeature.decode_example of FeaturesDict({ 'image': Image(shape=(None, None, 3), dtype=tf.uint8), 'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2), })> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux,export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4

[craigcitro]

This isn't a colab question; adding @yashk2810 and @markdaoust for thoughts from the TF side.

[yashk2810]

Can you try this with tf-nightly-gpu-2.0-preview?

[MarkDaoust]

WIth tfds-nightly and tf-nightly-gpu-2.0-preview. So the fix is in, and will make it to colab once those packages are updated.

There's no additional action to take here, so I think it's safe to close this.

[markus-weiss]

Thank you all very much!