GitLab

262039434  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Internal change

262024241  by hongkuny<hongkuny@google.com>:

    Adds __init__.py

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262021128  by isaprykin<isaprykin@google.com>:

    Internal change

PiperOrigin-RevId: 262039434

262004398  by taylorrobie<taylorrobie@google.com>:

    Internal change

PiperOrigin-RevId: 262004398

* add non-CuDNN LSTM

* condition eager on v2 for no cudnn benchmark

* remove implementation specification

* add comments and adjust benchmarks

* re-add implementation=2

* update docstrings

261786323  by yanhuasun<yanhuasun@google.com>:

    Replace set, dict with ObjectIdentityDict/Set to prepare for eq implementation

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PiperOrigin-RevId: 261786323

* 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

* Fix the ValueError: Error when checking model input on the new codepath

Fixes the following error:

  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/engine/training.py", line 2428, in _standardize_user_data
    exception_prefix='input')
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/engine/training_utils.py", line 530, in standardize_input_data
    str(len(data)) + ' arrays: ' + str(data)[:200] + '...')
ValueError: Error when checking model input: the list of Numpy arrays that you are passing to your model is not the size the model expected. Expected to see 2 array(s), but instead got the following list of 1 arrays: [<tf.Tensor 'cond_8/Identity:0' shape=(None, None) dtype=int64>]..

Tested and reproduced by running trasformer_main_test (thanks to whoever wrote it, phew!)

* Remove the unnecessary TODO.

261393597  by hongkuny<hongkuny@google.com>:

    add an encoder mode for BertModel which returns all layers.

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PiperOrigin-RevId: 261393597

* 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

* Update to use py3 lint

* Update model_saving_utils.py

Testing. To be reverted

* Update model_saving_utils.py

old lint is no longer used.

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

261196859  by yongzhe:

    Integrate EdgeTPU API into the Mobile SSD tflite client.

    Build command with EdgeTPU enabled:
    bazel build mobile_ssd_tflite_client  --define enable_edgetpu=true

    Build command with EdgeTPU disabled:
    bazel build mobile_ssd_tflite_client

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259096620  by Menglong Zhu:

    Remove unused proto imports.

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PiperOrigin-RevId: 261196859

261202754  by hongkuny<hongkuny@google.com>:

    Use enable_xla flag for classifier and squad, so xla option is exposed to users.

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PiperOrigin-RevId: 261202754

* 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

260862396  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Fix BERT pretraining input pipeline to shuffle and shard dataset properly for multi-worker training.

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PiperOrigin-RevId: 260862396

* Merged commit includes the following changes:
260800447  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Fix tf function signature errors for NCF model.

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260767064  by psv<psv@google.com>:

    Renames the `run_distributed` flag to `experimental_run_tf_function` and modifies the tests generated by the keras_all_modes decorator to better reflect that.

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PiperOrigin-RevId: 260800447

* Update ncf_keras_benchmark.py

* Update ncf_keras_benchmark.py

* Update ncf_keras_benchmark.py

* Update ncf_keras_benchmark.py

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

* Fixed lint

260622966  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Add absl_app import.

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PiperOrigin-RevId: 260622966

260601376  by hongkuny<hongkuny@google.com>:

    reorder Q,K to make TPU faster.

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PiperOrigin-RevId: 260601376

260580119  by hongkuny<hongkuny@google.com>:

    Adds expect_partial()

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PiperOrigin-RevId: 260580119

260228553  by priyag<priyag@google.com>:

    Enable transformer and NCF official model tests. Also fix some minor issues so that all tests pass with TF 1 + enable_v2_behavior.

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260043210  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Add logic to train NCF model using offline generated data.

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259778607  by priyag<priyag@google.com>:

    Internal change

259656389  by hongkuny<hongkuny@google.com>:

    Internal change

PiperOrigin-RevId: 260228553

260060237  by zongweiz<zongweiz@google.com>:

    [BERT SQuAD] Enable mixed precision training

    Add mixed precision training support for BERT SQuAD model. Using the experimental Keras mixed precision API. For numeric stability, use fp32 for layer normalization, dense layers with GELU activation, etc.

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PiperOrigin-RevId: 260060237

260052674  by hongkuny<hongkuny@google.com>:

    Add expect_partial()

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PiperOrigin-RevId: 260052674

259889221  by hongkuny<hongkuny@google.com>:

    Add no ds / xla / eager perfzero tests

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PiperOrigin-RevId: 259889221

259790197  by hongkuny<hongkuny@google.com>:

    Update pretraining model to match tf1 var names.

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PiperOrigin-RevId: 259790197