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  1. 26 Apr, 2021 1 commit
  3. 24 Apr, 2021 1 commit
  5. 23 Apr, 2021 2 commits
  7. 22 Apr, 2021 2 commits
  9. 21 Apr, 2021 5 commits
  11. 20 Apr, 2021 2 commits
  13. 19 Apr, 2021 3 commits
  15. 17 Apr, 2021 2 commits
    • Chen Chen's avatar
      Catch tf.text NotFoundError: · 550e4f21
      Chen Chen authored 
      tensorflow.python.framework.errors_impl.NotFoundError: /usr/local/lib/python3.6/dist-packages/tensorflow_text/python/metrics/_text_similarity_metric_ops.so: undefined symbol: _ZN10tensorflow6StatusC1ENS_5error4CodeEN4absl12lts_2021032411string_viewEOSt6vectorINS_10StackFrameESaIS7_EE

PiperOrigin-RevId: 368978629
      550e4f21
    • Fan Yang's avatar
      Internal change to image classification. · c52a287f
      Fan Yang authored 
      PiperOrigin-RevId: 368957441
      c52a287f
  17. 16 Apr, 2021 3 commits
  19. 15 Apr, 2021 3 commits
  21. 14 Apr, 2021 2 commits
  23. 13 Apr, 2021 8 commits
    • A. Unique TensorFlower's avatar
      Internal change · f4bd58dd
      A. Unique TensorFlower authored 
      PiperOrigin-RevId: 368260712
      f4bd58dd
    • Hongkun Yu's avatar
      Fix parse_configuration using "in" with ParseConfigOptions · f61d51ee
      Hongkun Yu authored 
      PiperOrigin-RevId: 368257425
      f61d51ee
    • Rebecca Chen's avatar
      Internal change · fbc1a8c2
      Rebecca Chen authored 
      PiperOrigin-RevId: 368157180
      fbc1a8c2
    • Jaehong Kim's avatar
      Internal change · 516f0402
      Jaehong Kim authored 
      PiperOrigin-RevId: 368130039
      516f0402
    • Fan Yang's avatar
      Add more pytype checking. · 615609b8
      Fan Yang authored 
      PiperOrigin-RevId: 368129317
      615609b8
    • Reed Wanderman-Milne's avatar
      Use nonexperimental mixed precision API. · 9a4d14a9
      Reed Wanderman-Milne authored 
      This replaces symbols in tf.keras.mixed_precision.experimental with the corresponding nonexperimental symbols. In some cases, passing a Policy is replaced with passing a policy name for conciseness.

Additionally, for the Shakespeare model, the loss_scale flag is removed, since supporting it with the nonexperimental API is slightly more verbose and it is recommended users use the default loss scale.

PiperOrigin-RevId: 368123944
      9a4d14a9
    • Reed Wanderman-Milne's avatar
      Use nonexperimental mixed precision API. · c0ac8d1c
      Reed Wanderman-Milne authored 
      This replaces symbols in tf.keras.mixed_precision.experimental with the corresponding nonexperimental symbols. In some cases, passing a Policy is replaced with passing a policy name for conciseness.

Additionally, for the Shakespeare model, the loss_scale flag is removed, since supporting it with the nonexperimental API is slightly more verbose and it is recommended users use the default loss scale.

PiperOrigin-RevId: 368123944
      c0ac8d1c
    • Hongkun Yu's avatar
      Internal change · 08fe7f0a
      Hongkun Yu authored 
      PiperOrigin-RevId: 368122127
      08fe7f0a
  25. 12 Apr, 2021 6 commits
    • Reed Wanderman-Milne's avatar
      Use nonexperimental mixed precision API for official models. · ba8ad4f5
      Reed Wanderman-Milne authored 
      For all modified calls to set_mixed_precision_policy(), the loss_scale argument was removed, as it cannot be passed if the nonexperimental API is used. For all such callers, the loss_scale is later used to explicitly create a LossScaleOptimizer, so removing the argument has no impact.

Switching to the non-experimental LossScaleOptimizer has no effect, as it has near identical behavior and all isinstance checks within the official models check for the non-experimental version.

PiperOrigin-RevId: 368101975
      ba8ad4f5
    • Reed Wanderman-Milne's avatar
      Use nonexperimental mixed precision API for official models. · e6cda015
      Reed Wanderman-Milne authored 
      For all modified calls to set_mixed_precision_policy(), the loss_scale argument was removed, as it cannot be passed if the nonexperimental API is used. For all such callers, the loss_scale is later used to explicitly create a LossScaleOptimizer, so removing the argument has no impact.

Switching to the non-experimental LossScaleOptimizer has no effect, as it has near identical behavior and all isinstance checks within the official models check for the non-experimental version.

PiperOrigin-RevId: 368101975
      e6cda015
    • Tianjian Meng's avatar
      Internal change · b71df5b1
      Tianjian Meng authored 
      PiperOrigin-RevId: 368070382
      b71df5b1
    • Reed Wanderman-Milne's avatar
      Internal change · 1e1353da
      Reed Wanderman-Milne authored 
      PiperOrigin-RevId: 368067415
      1e1353da
    • A. Unique TensorFlower's avatar
      Internal change · ec90b1e7
      A. Unique TensorFlower authored 
      PiperOrigin-RevId: 368040234
      ec90b1e7
    • Abdullah Rashwan's avatar
      Internal change · 425c2f52
      Abdullah Rashwan authored 
      PiperOrigin-RevId: 368036370
      425c2f52