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…to flakyness on GPU tests. PiperOrigin-RevId: 524717288
PiperOrigin-RevId: 524908660
PiperOrigin-RevId: 524925112
… Strategy PiperOrigin-RevId: 524941204
…Strategy. PiperOrigin-RevId: 525229733
Added mean to mean square error and mean absolute error documentation. PiperOrigin-RevId: 525246810
When calculating the mean/var for the BN, the mask was only applied to the SUM of the input data, but not for the COUNT, which result into a smaller mean (SUM/COUNT). PiperOrigin-RevId: 525489786
…e_dataset PiperOrigin-RevId: 525497958
…from_config` implementation is needed. PiperOrigin-RevId: 525498926
… and mask. PiperOrigin-RevId: 525534100
The mask should be reshaped in a same way as the input tensor, which was missing. PiperOrigin-RevId: 525566621
…ing ; [keras/optimizers/legacy_learning_rate_decay.py] Remove "Linear default"
…trics/confusion_metrics.py] Backtick keyword in docstring
When a user runs in Colab env or in script, the user might try to start / stop the `TimedThread` instance multiple times. Python's `Thread` doesn't support multiple `start`. So, instead of subclassing `thread.Thread`, create a new instance of `threading.Thread` on each call to `TimedThread.start()` PiperOrigin-RevId: 525866111
…lization in `from_config`, supplies useful information instead of DictWrapper error. PiperOrigin-RevId: 525888033
….schedules-defaults-to PiperOrigin-RevId: 526072369
…kwards compatibility for `printable_module_name` argument. PiperOrigin-RevId: 526072419
…haping-defaults-to PiperOrigin-RevId: 526072634
….legacy-defaults-to PiperOrigin-RevId: 526072785
…-defaults-to PiperOrigin-RevId: 526073662
…volutional.depthwise_conv1d-defaults-to PiperOrigin-RevId: 526080577
…his is already included in the base optimizer docstring. PiperOrigin-RevId: 526147193
Improve error message to give useful feedback: - if passing empty dataset or array as input data - if passing `steps_per_epoch=0` by adding checks in `DataHandler`.
Missing variable name cause checkpoint to fail. Also update the unit test coverage PiperOrigin-RevId: 548744576
PiperOrigin-RevId: 549151573
…ory usage, and reduce the flakyness. PiperOrigin-RevId: 549689113
This facilitates google<->github transformations. PiperOrigin-RevId: 549691612
PiperOrigin-RevId: 550608225
The backend.variable was asssuming float32 when dtype is not provided. The RNN init state should pass the init state dtype to the backend.variable. Seehttps://github.com/keras-team/keras/issues/15164 for more details. PiperOrigin-RevId: 550619673
The _compiled_trainable_state is used in the base model, and should live under base model instead of just functional model. See keras-team#15183 for more details. PiperOrigin-RevId: 550627085
PiperOrigin-RevId: 550960122
… types. PiperOrigin-RevId: 551245005
PiperOrigin-RevId: 551267421
PiperOrigin-RevId: 551607364
PiperOrigin-RevId: 552523481
PiperOrigin-RevId: 552582234
PiperOrigin-RevId: 552616358
PiperOrigin-RevId: 553219889
The 2.14 release branch is cut at https://github.com/keras-team/keras/tree/r2.14. PiperOrigin-RevId: 553299581
PiperOrigin-RevId: 554491671
PiperOrigin-RevId: 557531794
PiperOrigin-RevId: 557542379
PiperOrigin-RevId: 557585594
PiperOrigin-RevId: 557664011
PiperOrigin-RevId: 557839055
Makes the underlying class available and adds documentation. PiperOrigin-RevId: 557868815
In the case of trying to tune with a custom `steps_per_execution` initial heuristic, it is helpful to be able to set to a certain value. PiperOrigin-RevId: 557904674
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