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Replace per_device with per_replica and PerDevice with PerReplica, because the PerDevice concept was renamed and doesn't exist anymore. (#6693)

* Replace per_device with per_replica and PerDevice with PerReplica, because the PerReplica concept was renamed and doesn't exist anymore.

* Add accuracy check.

* Avoid double flag init, move data_dir to real data.

* Comment on lower accuracy target.

* bug fix

* bug fix

* Add benchmarks with the --cloning flag to Resnet and NFC.

* Renamed cloning to clone_model_in_keras_dist_strat. Dropped a few tests that aren't essential.

* Fixed up the formatting after re-naming the flag to a much longer  name.  Thanks, lint.
* Fixed the lint error in nfc_common.py

* Combined imagenet and cifar-10 benchmarks

* Comments and epochs_between_evals.

* Added tuned tests and cleaned up benchmark flags

* Fix names.

* Return results and add images/sec hook.

* updated doc strings for return values.

* 128 to 256 batch for FP16 test

* added more doc strings to fix lint.

* Merged commit includes the following changes:
244869387  by Sergio Guadarrama:

    This CL adds script/code to generate Visual WakeWords Dataset annotation files and TF records starting from COCO dataset.

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244866660  by Sergio Guadarrama:

    Add VisualWakeWords Dataset to Slim dataset_factory to train MobileNets on it.

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244836000  by Sergio Guadarrama:

    n/a

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244104396  by Sergio Guadarrama:

    Add an option whether to enable / disable image cropping in inception_preprocessing.

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242040128  by Sergio Guadarrama:

    Internal change

241793677  by Sergio Guadarrama:

    Internal change

241073081  by Sergio Guadarrama:

    Internal change

240131189  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 244869387

* Merged commit includes the following changes:
245431876  by Sergio Guadarrama:

    Internal cleanup

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PiperOrigin-RevId: 245431876

* Merged commit includes the following changes:
245454983  by Sergio Guadarrama:

    Internal Cleanup

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PiperOrigin-RevId: 245454983

* Add num_packs flag for MirroredStrategy's cross device ops.

* fix parens

* Fix lint errors and make all_reduce_alg more robust.

* Set default num_packs to 1

tf.test.is_gpu_available() should not be called in flags since this is
called before app.main() and the runtime has not yet been initialized.

* Remove contrib AllReduceCrossDeviceOps and update all_reduce_alg options with MirroredStrategy.

* cleanup

Reason: test failures because contrib is not available in V2

This reverts commit 325dd761.

* Added none check for output_dir

* Change double quote to single

* Internal change.

PiperOrigin-RevId: 185564155

* Fix small bug when reading DELF features when file is empty.
A new test is added that catches this bug.

PiperOrigin-RevId: 213839503

* Refactors DELF example code to expose a function to create a DELF feature extractor.

PiperOrigin-RevId: 241492615

* Merged commit includes the following changes:
244073180  by Andre Araujo:

    Internal change

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243646498  by Andre Araujo:

    Detect and save bounding boxes for a list of images.
    A new proto is added, along with auxiliary read/write functions, and tests.

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PiperOrigin-RevId: 244073180

* Merged commit includes the following changes:
244872693  by Andre Araujo:

    Small change.

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244871213  by Andre Araujo:

    Small edit to DELF extractor function.

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244790715  by Andre Araujo:

    internal automated change

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244773146  by Andre Araujo:

    Add option to visualize extracted boxes, and change sligh...

* Introduce a short sleep before ds.prefetch in tf.data.

* Further limit dataset threads to reduce CPU contention

* Tuned dataset sleep time

* Rename dataset sleep flag; enable it only for Keras Graph mode

* Update colab demo

* fix typo

* Small word tweak

* Few more tweaks

np.uint8 to np.int64 for detection class label index overflow when using OIDv4 labels

Added additional information on using the `SavedModel` for prediction purposes.

The evaluation crashes in python3 if iteritems() is used instead of items()

* Use tf.image.resize_with_crop_or_pad

* exp_per_second and hr_at_10

* TF cifar10 cnn tutorial: use tensorflow-datasets to load the data.

* Load cifar10 in memory.

* Fix imports

* More import fixes

* Remove contrib imports, or move them inline

* Use exposed API for FixedLenFeature

* Replace tf.logging with absl logging

* Change GFile to v2 APIs

* replace tf.logging with absl loggin in movielens

* Fixing an import bug

* Change gfile to v2 APIs in code

* Swap to keras optimizer v2

* Bug fix for optimizer

* Change tf.log to tf.keras.backend.log

* Change the loss function to keras loss

* convert another loss to keras loss

* Resolve comments and fix lint

* Add a doc string

* Fix existing tests and add new tests for DS

* Added tests for multi-replica

* Fix lint

* resolve comments

* make estimator run in tf2.0

* use compat v1 loss

* fix lint issue

* Internal change.

PiperOrigin-RevId: 185564155

* Fix small bug when reading DELF features when file is empty.
A new test is added that catches this bug.

PiperOrigin-RevId: 213839503

* Refactors DELF example code to expose a function to create a DELF feature extractor.

PiperOrigin-RevId: 241492615

* Merged commit includes the following changes:
244073180  by Andre Araujo:

    Internal change

--
243646498  by Andre Araujo:

    Detect and save bounding boxes for a list of images.
    A new proto is added, along with auxiliary read/write functions, and tests.

--

PiperOrigin-RevId: 244073180

* before moving test cases to the base class

* Added tests for keras cifar and keras imagenet

* fix cifar10_test

* add blank lines

* fix lint errors

* fix lint

* Resolve comments

* Modified two resnet keras tests

* Tests passed

* Remove keras_test_base

* Remove gpu from the no-dist tests

* Revert "Set input layer `batch_size` in multi-replica mode (#6578)"

This reverts commit f1a59682.

* Rename variables.

1. In python3, dict.iteritems() is gone, change it to dict.items(). And it also doesn't treat zip object as a list, so change zip to list type.
2. Add encoding flag with open function to make it more compatible for Windows/Linux system.
3. For newer tensorflow, it expected int64 without giving a dtype parameter to embedding layer. We give it float32 to solve it.

* Update resnet_run_loop.py

* Update resnet_run_loop.py

* Update resnet_run_loop.py

* Update resnet_run_loop.py

* Update resnet_run_loop.py

Dictionary's .iteritem() raises an error in Python3.
Replaced it with iteritem from six library.