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Add checks on if use_tf_function is true

benchmarks for the ctl with AMP

PiperOrigin-RevId: 267007907

The old infer_float32_policies policy will be removed from TensorFlow soon.

To test convergence, I ran the Resnet50KerasAccuracy.benchmark_8_gpu_fp16 benchmark. I got an accuracy of 0.76037 and an exp_per_second of 6908.

PiperOrigin-RevId: 266191126

PiperOrigin-RevId: 264937518

PiperOrigin-RevId: 264895439

PiperOrigin-RevId: 264647492

Moving Keras ResNet models to `official/vision/image_classification` and benchmarks to `official/benchmark`.

PiperOrigin-RevId: 264268533

PiperOrigin-RevId: 264174913

PiperOrigin-RevId: 263837214

Also add `worker_hosts` and `task_index` flags.  These flags enable running the
model over multiple hosts by passing the cluster information via command line.

Setting `TF_CONFIG` will continue to work.

PiperOrigin-RevId: 263825245

* force_v2_in_keras_compile FLAG default to None and added seperate temp path.

* switch to force testing 1v path not force v2 path.

* Rename function force_v1_path.

* Force GPU placement for Resnet pure eager benchmark

* Create tweaked version of eager benchmark with explicit GPU placement

* Merged commit includes the following changes:
261380794  by haoyuzhang<haoyuzhang@google.com>:

    Internal change

261374439  by haoyuzhang<haoyuzhang@google.com>:

    Change Keras CTL dependencies from r1 ResNet to Keras ResNet.

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PiperOrigin-RevId: 261380794

* Revert unintentional change

* Revert unintentional change

261339941  by haoyuzhang<haoyuzhang@google.com>:

    Own library functions in Keras ResNet models, and remove dependencies on v1 Estimator version of ResNet models.

    Most dependencies that the Keras version has are related to data input pipelines. Created dedicated files (cifar_preprocessing.py, imagenet_preprocessing.py) to collect all logic handling Cifar and ImageNet data input function.

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261339166  by haoyuzhang<haoyuzhang@google.com>:

    Internal change

261317601  by akuegel<akuegel@google.com>:

    Internal change

261218818  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Internal change

PiperOrigin-RevId: 261339941

* Restructure resnet estimator code to under official/r1

* Continue moving resnet code...

* Improved README.md

261171038  by gjn<gjn@google.com>:

    Remove weight_decay_rate 0 early exit check

    Removing this code path should be fine since this was actually not doing
    what it meant to do. Since weight_decay_rate is actually a tensor, the
    equality check was only looking at the id of the object and comparing to
    0. This should never be true. Evaluating a tensor is also not what we
    want to do at this point of the code. Thus it should be fine to simply
    remove this code.

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261169862  by haoyuzhang<haoyuzhang@google.com>:

    Internal change

261153520  by haoyuzhang<haoyuzhang@google.com>:

    Internal change

261140302  by hongkuny<hongkuny@google.com>:

    Clean up

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PiperOrigin-RevId: 261171038

* Add accuracy and performance Resnet runs with --force_v2_in_keras_compile = True.

* Fixed lint

* Add force_run_distributed tests.

* Added enable_eager

* r/force_run_distributed/force_v2_in_keras_compile

* Adding force_v2 tests and FLAGs.

* Rename method to avoid conflict.

* Add cpu force_v2 tests.

* fix lint, wrap line.

* change to force_v2_in_keras_compile

* Update method name.

* Lower mlperf target to 0.736.

259030078  by isaprykin<isaprykin@google.com>:

    Clean up the --clone_model_in_keras_dist_strat from Keras Resnet.

    The cloning flag has been removed.  The current rule is that cloning is only done in graph mode.  That resulted in duplicate benchmarks: eager+no-cloning vs eager+cloning.  I removed eager+cloning ones.

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259026454  by isaprykin<isaprykin@google.com>:

    Internal change

PiperOrigin-RevId: 259030078

* Merged commit includes the following changes:
258867180  by jingli<jingli@google.com>:

    Add new folders for upcoming reorg in model garden.

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258893811  by hongkuny<hongkuny@google.com>:

    Adds summaries for metrics, allowing metrics inside keras.model.

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258893048  by isaprykin<isaprykin@google.com>:

    Remove the `cloning` argument to `compile()`.

    Keras models are distributed by cloning in graph mode and without cloning in eager mode as of the change # 258652546.

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258881002  by hongkuny<hongkuny@google.com>:

    Fix lint.

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258874998  by hongkuny<hongkuny@google.com>:

    Internal

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258872662  by hongkuny<hongkuny@google.com>:

    Fix doc

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PiperOrigin-RevId: 258867180

* Create __init__.py

* Update __init__.py

* Update __init__.py

* Update __init__.py

* Config threadpool, cuDNN persistent BN, and grappler layout optimizer properly for ResNet56

* Add tweaked tests for Resnet56

* Avoid triggering the last partial batch overhead by explicitly dropping remainder

* Move to global_step.

* Hook to use global_step.

* fix comment start step 1 not step 0.

* remove hack used for testing.

* Add docstring.

* Improve performance for Cifar ResNet benchmarks

* Revert batch size changes to benchmarks

* Fix unit tests failures.

* 96% of TF 2.0 tests on GPU are passing.

* Currently all passing GPU and CPU TF 2.0

* Address code comments.

* use tf 2.0 cast.

* Comment about working on TF 2.0 CPU

* Uses contrib turn off for TF 2.0.

* Fix wide_deep and add keras_common_tests.

* use context to get num_gpus.

* Switch to tf.keras.metrics

* cpu benchmark and accuracy tests.

* add docstrings to fix lint.

* XLA FP32 and first test

* More XLA benchmarks FP32.

* Add eager to NCF and refactor resnet.

* fix v2_0 calls and more flag refactor.

* Remove extra flag args.

* 90 epoch default

* add return

* remove xla not used by estimator.

* Remove duplicate run_eagerly.

* fix flag defaults.

* Remove fp16_implementation flag option.

* Remove stop early on mlperf test.

* remove unneeded args.

* load flags from keras mains.