Revert "Fix an important performance regression for LSTM and GRU in t…

This reverts commit 4f39bd9c.

Fix an important performance regression for LSTM and GRU in tf 2.0

The issue was caused by auto inline the tf function in eager context,
which cause the grappler not able to do the swap the optimization.

PiperOrigin-RevId: 251945251

[XLA] Seed each convolution with the same rng state, so that the conv…

[XLA] Seed each convolution with the same rng state, so that the conv autotuning input is consistent even when run individually.

PiperOrigin-RevId: 251332367

Fix the missing numpy import

Additional change:
- Sequential models are now revived as Sequential.

PiperOrigin-RevId: 251723025

PiperOrigin-RevId: 251579891

- Details of the breakage:
  - The "keras_version" attr of a saved HDF5 (.h5) file of tf.keras model
    started to have quotes around it today. For instance, it ought to be
    2.2.4-tf, but instead becomes "2.2.4-tf" (with the quotes)
  - The root cause CL appears to be CL/251386039
  - This was discovered during TensorFlow.js nightly benchmark
- This CL fixes the breakage and adds a unit test to prevent regression.

PiperOrigin-RevId: 251544402

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PiperOrigin-RevId: 251323411

Marks Keras set_session as compat.v1 only. Also moves some renames to…

Make default Keras ConfigProto use tf.config

Marks Keras set_session as compat.v1 only. Also moves some renames to the manual renames that had been incorrectly placed in the auto-generated symbol mappings.

PiperOrigin-RevId: 251708447

PiperOrigin-RevId: 251659257

changes.

Cleaning up this file, so that only kathy's changes are in.

back. Cleaning up this file, so that only kathy's changes are in.

PiperOrigin-RevId: 251441123

PiperOrigin-RevId: 251343281

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To save and revive a model:
1. Save the model using tf.saved_model.save
2. call load_from_save_model_v2

This restores various metadata about Keras models and layers, as well as their call and loss functions.

Changes to object serialization:
- Adds private fields for tracking object's identifier and metadata.
- Added _list_extra_dependencies_for_serialization, which allows objects to save extra
  dependencies when serialized to SavedModel.
- Object graph view maintains a serialization cache object that is passed to each object when serializing functions/extra dependencies.

PiperOrigin-RevId: 251386039

R2.0 fastforward branch.

PiperOrigin-RevId: 251289411

Replace unknown shape with empty shape causes incompatiblity between inferred shape and actual (annotated) shape. Also factor out UpdatePlaceholderShape for readability.

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subclassed models inside graph networks.

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[XLA] Change GenericTransferManager::TransferLiteralFromDevice to enqueue memcpys on a stream, rather than synchronously performing transfers one-by-one.
On GPU in particular it is preferable to avoid repeated host/device synchronization when transferring large tuples.

PiperOrigin-RevId: 251273699

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We emit batch dots by slicing along the major-most dimension, this doesn't work if the
batch dimensions are minor. Forcing row-major is slightly too strict because the order
of the non-batch dimensions could still be transposed. We can optimize that later if it
turns out to be a problem.

PiperOrigin-RevId: 251268343

[tf.data] Modify the rebatching logic to round up the result of dividing the original batch size with the number of workers.

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