1. 07 Jun, 2021 1 commit
  2. 06 Jun, 2021 2 commits
  3. 28 May, 2021 1 commit
  4. 19 May, 2021 1 commit
  5. 18 May, 2021 1 commit
  6. 17 May, 2021 2 commits
  7. 14 May, 2021 1 commit
  8. 13 May, 2021 1 commit
  9. 11 May, 2021 1 commit
  10. 23 Apr, 2021 2 commits
  11. 20 Apr, 2021 2 commits
  12. 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
    • Chen Chen's avatar
      Catch tf.text NotFoundError: · ffaa4035
      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
      ffaa4035
  13. 15 Apr, 2021 2 commits
  14. 13 Apr, 2021 4 commits
    • A. Unique TensorFlower's avatar
      Internal change · b1aa44d9
      A. Unique TensorFlower authored
      PiperOrigin-RevId: 368260712
      b1aa44d9
    • A. Unique TensorFlower's avatar
      Internal change · f4bd58dd
      A. Unique TensorFlower authored
      PiperOrigin-RevId: 368260712
      f4bd58dd
    • 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. · 4334a892
      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
      4334a892
  15. 06 Apr, 2021 2 commits
    • Jeremiah Liu's avatar
      Disable temperature scaling during training. · fab47e9e
      Jeremiah Liu authored
      For the `GaussianProcessClassificationHead`, the temperature scaling needs to be disabled during training to avoid unexpected modification to the learning rate, which harms model quality. (Unfortunately, this seems to require adding `training` to the `call` method).
      
      Also set the default of `gp_cov_ridge_penalty` in `RandomFeatureGaussianProcess` to 1 to be consistent with that in the `GaussianProcessClassificationHead`.
      
      PiperOrigin-RevId: 366917075
      fab47e9e
    • Jeremiah Liu's avatar
      Disable temperature scaling during training. · ff3ed4cc
      Jeremiah Liu authored
      For the `GaussianProcessClassificationHead`, the temperature scaling needs to be disabled during training to avoid unexpected modification to the learning rate, which harms model quality. (Unfortunately, this seems to require adding `training` to the `call` method).
      
      Also set the default of `gp_cov_ridge_penalty` in `RandomFeatureGaussianProcess` to 1 to be consistent with that in the `GaussianProcessClassificationHead`.
      
      PiperOrigin-RevId: 366917075
      ff3ed4cc
  16. 05 Apr, 2021 4 commits
  17. 01 Apr, 2021 6 commits
  18. 25 Mar, 2021 2 commits
  19. 24 Mar, 2021 2 commits
  20. 22 Mar, 2021 1 commit