GitLab

PiperOrigin-RevId: 314526747

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* root dir

* zone updated

* print mask

* preview emb

* tf print

* input only

* emb

* tf print

* emb after mask

* masked_softmax print

* print scores

* multi folder

* first pos emb

* check input shape

* add test temp

* import math

* two classes

* prints

* all get_pos replace

* make time scale private

* pos emb comments

* print input

* embedding_inputs

* tf shape

* dimention list

* tf_util

* print tf_util

* concise

* transformer pos change to layer

* keep length var

* length as input

* None as input

* print time signal

* print time signal

* remove print

* test input shape

* double check shape

* double check shape

* double check shape

* more test

* shape check

* shape check

* print 97 info

* print 97 info new

* test if sam

* assert same

* remove assert

* tf print same

* tf print diff

* output example

* output example

* output example

* formal test

* formal test length

* raise valurerror

* test valurerror

* double check

* comments

* remove prints

* rename relative

* delet naive test

* delete docs in xinliu branch

* code reformat

* import order

* indentation fix

* more files

* adjust char number

* disable not callable

* comment to length

* error of length unequal to input_shape

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Move common configs inside base_config to config_definitions.

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Moved code from TF1 to TF2 for DELF logging, testing directories and feature extraction scripts (#8591)

* Merged commit includes the following changes:

FolderOrigin-RevId: /google/src/cloud/bfusinska/delf

* Added the import for utils
Co-authored-by: Andre Araujo <andrearaujo@google.com>

Proposes the full functionality of MultiHeadAttention layer. This change first goes to model garden NLP library.

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Deprecate old customized training loop for run_classifier.py as compile/fit fully satisfy needs/performance.

PiperOrigin-RevId: 313660745

Float32 is used if the model uses mixed precision with bfloat16. Float16 activation are unchanged.

The motivation is that BERT with the LAMB optimizer with a gelu activation has an unstable loss when gelu is in bfloat16. Unfortunately, it is not easy to check if the LAMB optimizer and gelu is used, and perhaps there are other cases that work better with float32 activations instead of bfloat16 activations, so we always do the activation in float32 instead of bfloat16.

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* Merged commit includes the following changes:
311933687  by Sergio Guadarrama:

    Removes spurios use of tf.compat.v2, which results in spurious tf.compat.v1.compat.v2. Adds basic test to nasnet_utils.
    Replaces all remaining import tensorflow as tf with import tensorflow.compat.v1 as tf

--
311766063  by Sergio Guadarrama:

    Removes explicit tf.compat.v1 in all call sites (we already import tf.compat.v1, so this code was  doing tf.compat.v1.compat.v1). The existing code worked in latest version of tensorflow, 2.2, (and 1.15) but not in 1.14 or in 2.0.0a, this CL fixes it.

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311624958  by Sergio Guadarrama:

    Updates README that doesn't render properly in github documentation

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310980959  by Sergio Guadarrama:

    Moves research_models/slim off tf.contrib.slim/layers/framework to tf_slim

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310263156  by Sergio Guadarrama:

    Adds model breakdown for MobilenetV3

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308640516  by Sergio Guadarrama:

    Internal change

308244396  by Sergio Guadarrama:

    GroupNormalization support for MobilenetV3.

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307475800  by Sergio Guadarrama:

    Internal change

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302077708  by Sergio Guadarrama:

    Remove `disable_tf2` behavior from slim py_library targets

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301208453  by Sergio Guadarrama:

    Automated refactoring to make code Python 3 compatible.

--
300816672  by Sergio Guadarrama:

    Internal change

299433840  by Sergio Guadarrama:

    Internal change

299221609  by Sergio Guadarrama:

    Explicitly disable Tensorflow v2 behaviors for all TF1.x binaries and tests

--
299179617  by Sergio Guadarrama:

    Internal change

299040784  by Sergio Guadarrama:

    Internal change

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297700038  by Sergio Guadarrama:

    Internal change

297670468  by Sergio Guadarrama:

    Internal change.

--
297350326  by Sergio Guadarrama:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

--
297201668  by Sergio Guadarrama:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

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294483372  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 311933687

* Merged commit includes the following changes:
312578615  by Menglong Zhu:

    Modify the LSTM feature extractors to be python 3 compatible.

--
311264357  by Menglong Zhu:

    Removes contrib.slim

--
308957207  by Menglong Zhu:

    Automated refactoring to make code Python 3 compatible.

--
306976470  by yongzhe:

    Internal change

306777559  by Menglong Zhu:

    Internal change

--
299232507  by lzyuan:

    Internal update.

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299221735  by lzyuan:

    Add small epsilon on max_range for quantize_op to prevent range collapse.

--

PiperOrigin-RevId: 312578615

* Merged commit includes the following changes:
310447280  by lzc:

    Internal changes.

--

PiperOrigin-RevId: 310447280
Co-authored-by: Sergio Guadarrama <sguada@google.com>
Co-authored-by: Menglong Zhu <menglong@google.com>

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PiperOrigin-RevId: 313205490