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README.md 2019-09-13 1.7 kB
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TensorLayer 2.2.0 is a maintenance release. It contains numerous API improvement and bug fixes. This release is compatible with TensorFlow 2 RC1.

Added

  • Support nested layer customization (#PR 1015)
  • Support string dtype in InputLayer (#PR 1017)
  • Support Dynamic RNN in RNN (#PR 1023)
  • Add ResNet50 static model (#PR 1030)
  • Add performance test code for static models (#PR 1041)

Changed

  • SpatialTransform2dAffine auto in_channels
  • support TensorFlow 2.0.0-rc1
  • Update model weights property, now returns its copy (#PR 1010)

Fixed

  • RNN updates: remove warnings, fix if seq_len=0, unitest (#PR 1033)
  • BN updates: fix BatchNorm1d for 2D data, refactored (#PR 1040)

Dependencies Update

Deprecated

Fixed

  • Fix tf.models.Model._construct_graph for list of outputs, e.g. STN case (PR [#1010])
  • Enable better in_channels exception raise. (PR [#1015])
  • Set allow_pickle=True in np.load() (#PR 1021)
  • Remove private_method decorator (#PR 1025)
  • Copy original model's trainable_weights and nontrainable_weights when initializing ModelLayer (#PR 1026)
  • Copy original model's trainable_weights and nontrainable_weights when initializing LayerList (#PR 1029)
  • Remove redundant parts in model.all_layers (#PR 1029)
  • Replace tf.image.resize_image_with_crop_or_pad with tf.image.resize_with_crop_or_pad (#PR 1032)
  • Fix a bug in ResNet50 static model (#PR 1041)

Removed

Security

Contributors

  • @zsdonghao
  • @luomai
  • @ChrisWu1997: [#1010] [#1015] [#1025] [#1030] [#1040]
  • @warshallrho: [#1017] [#1021] [#1026] [#1029] [#1032] [#1041]
  • @ArnoldLIULJ: [#1023]
  • @JingqingZ: [#1023]
Source: README.md, updated 2019-09-13