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@Conchylicultor Conchylicultor released this 16 Apr 03:03
· 4263 commits to master since this release
v3.0.0
717b380

Breaking changes:

  • Legacy mode tfds.experiment.S3 has been removed
  • New image_classification section. Some datasets have been move there from images.
  • in_memory argument has been removed from as_dataset/tfds.load (small datasets are now auto-cached).
  • DownloadConfig do not append the dataset name anymore (manual data should be in <manual_dir>/ instead of <manual_dir>/<dataset_name>/)
  • Tests now check that all dl_manager.download urls has registered checksums. To opt-out, add SKIP_CHECKSUMS = True to your DatasetBuilderTestCase.
  • tfds.load now always returns tf.compat.v2.Dataset. If you're using still using tf.compat.v1:
    • Use tf.compat.v1.data.make_one_shot_iterator(ds) rather than ds.make_one_shot_iterator()
    • Use isinstance(ds, tf.compat.v2.Dataset) instead of isinstance(ds, tf.data.Dataset)
  • tfds.Split.ALL has been removed from the API.

Future breaking change:

  • The tfds.features.text encoding API is deprecated. Please use tensorflow_text instead.
  • num_shards argument of tfds.core.SplitGenerator is currently ignored and will be removed in the next version.

Features:

  • DownloadManager is now pickable (can be used inside Beam pipelines)
  • tfds.features.Audio:
    • Support float as returned value
    • Expose sample_rate through info.features['audio'].sample_rate
    • Support for encoding audio features from file objects
  • Various bug fixes, better error messages, documentation improvements
  • More datasets

Thank you to all our contributors for helping us make TFDS better for everyone!

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