GitLab

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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258871624  by hongkuny<hongkuny@google.com>:

    Internal change

PiperOrigin-RevId: 258881002

258597234  by rxsang<rxsang@google.com>:

    Update all the TPUStrategy examples to use the new v2 APIs, i.e.
    make_dataset_iterator -> experimental_distribute_dataset,
    make_input_fn_iterator -> experimental_distribute_datasets_from_function,
    unwrap -> experimental_local_results,
    experimental_run -> experimental_run_v2

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258581998  by taylorrobie<taylorrobie@google.com>:

    Update keras v2 optimizers to reuse coefficients which are shared across all updates, which reduces the total number of ops created by between 5% (for simple optimizers such as SGD and Adagrad) and 25% (for complicated optimizers such as Adam and NAdam). Separate copies are made for each device and dtype.

    The effect of this change on run time is fairly minimal since Grappler is expected to consolidate most of these ops; however it does improve graph construction time.

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PiperOrigin-RevId: 258597234

* Added benchmarks and common flags.

* Add cpu tests.

* Add tracking epoch times.

* fix transformer.

* Add examples_per_second.

* fix pylint

* 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

258208153  by hongkuny<hongkuny@google.com>:

    Adds run_eagerly option for bert.

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PiperOrigin-RevId: 258208153

* Ncf perf changes 1)exclude metric layer from CTL train step 2)dataset optimization to fix size of the sample_weights, preventing a costly broadcast during loss calculation for multi-gpu case

* Initial implementation of Shakespeare character LSTM.

* Fix import order

257883986  by hongkuny<hongkuny@google.com>:

    Adds tf.summary for bert training

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PiperOrigin-RevId: 257883986

* Record highest uncased bleu found.

* change to bleu_best_score_iteration

257314238  by hongkuny<hongkuny@google.com>:

    Creates transformer v2 README.
    Remove contents that are not implemented.

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PiperOrigin-RevId: 257314238

* 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

* reduce iterations from 20 to 12.

* add fp16 dynamic batch accuracy check.

* fix existing lint issue.

* 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

256204636  by hongkuny<hongkuny@google.com>:

    Internal

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256079834  by hongkuny<hongkuny@google.com>:

    Clean up: move common flags together for further refactoring
    Enable steps_per_loop option for all applications.

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PiperOrigin-RevId: 256204636

* Add StepCounterHook to hooks_helper.py

* Update symbol.

when there are multiple workers.

* borrowing a tf1.x optimization which converts gradients from sparse to dense for better perf

* cleanup after code review

* Merged commit includes the following changes:
255493073  by hongkuny<hongkuny@google.com>:

    BERT initial OSS readme update.

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255470372  by dmchen<dmchen@google.com>:

    Slightly expand expected range for F1 score in BERT SQuAD accuracy test

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255109240  by hongkuny<hongkuny@google.com>:

    Update eval/predict batch sizes.

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255010016  by hongkuny<hongkuny@google.com>:

    Internal

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254874613  by hongkuny<hongkuny@google.com>:

    Update glue tasks enum to match directory name

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254866171  by taylorrobie<taylorrobie@google.com>:

    Internal change

254785517  by zongweiz<zongweiz@google.com>:

    Use train_single_step for BERT GPU models to temporarily work around some performance bugs in GPU runs

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254497647  by hongkuny<hongkuny@google.com>:

    Fix device placement for TPU export model.

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PiperOrigin-RevId: 255493073

* Update README.md

255493073  by hongkuny<hongkuny@google.com>:

    BERT initial OSS readme update.

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255470372  by dmchen<dmchen@google.com>:

    Slightly expand expected range for F1 score in BERT SQuAD accuracy test

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255109240  by hongkuny<hongkuny@google.com>:

    Update eval/predict batch sizes.

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255010016  by hongkuny<hongkuny@google.com>:

    Internal

--

PiperOrigin-RevId: 255493073

254874613  by hongkuny<hongkuny@google.com>:

    Update glue tasks enum to match directory name

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254866171  by taylorrobie<taylorrobie@google.com>:

    Internal change

PiperOrigin-RevId: 254874613

254785517  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Use train_single_step for BERT GPU models to temporarily work around some performance bugs in GPU runs

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254497647  by hongkuny<hongkuny@google.com>:

    Fix device placement for TPU export model.

--

PiperOrigin-RevId: 254785517

* trying fake merge call

* make metrics optional

* Remove extra print

* 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.

254134531  by yuefengz<yuefengz@google.com>:

    Fix a typo in bert_benchmark.py

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PiperOrigin-RevId: 254134531

* Do not set learning phase when skipping eval

* Do not set learning phase in no dist strat case

* Added device placement, tweaked benchmarks

* Added tweaked benchmarks for Cifar

* Fix device scope

* Fix lint

* Add explicit GPU placement flag

* Also run accuracy test with explicit GPU placement

* Added doc string

254069984  by hongkuny<hongkuny@google.com>:
    Automated rollback of changelist 254060732.

254061429  by hongkuny<hongkuny@google.com>:

    Use host while loop for training steps.

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254060732  by yifeif<yifeif@google.com>:
    Automated rollback of changelist 254027750.

254027750  by hongkuny<hongkuny@google.com>:

    Internal change

PiperOrigin-RevId: 254069984

* Add XLA benchmark tests FP32 only for now.

* Add FP16 XLA tests.

* FP16 only tests.