GitLab

The current schema contains the entity information about model
and train data metadata, as well as machine config. Future change
will contain benchmark metric.

The json schema can be used to create bigquery table. A sample
table can be found in
https://bigquery.cloud.google.com/table/tf-benchmark-dashboard:test_benchmark.benchmark_run.

* Internal change.

PiperOrigin-RevId: 187042423

* Internal change.

PiperOrigin-RevId: 187072380

* Opensource float and eight-bit fixed-point mobilenet_v1 training and eval scripts.

PiperOrigin-RevId: 187106140

* Initial check-in for Mobilenet V2

PiperOrigin-RevId: 187213595

* Allow configuring batch normalization decay and epsilon in MobileNet v1

PiperOrigin-RevId: 187425294

* Allow overriding NASNet model HParams.

This is a change to the API that will allow users to pass in their own configs
to the building functions, which should make these APIs much more customizable
for end-user cases.

This change removes the use_aux_head argument from the model construction
functions, which is no longer necessary given that the use_aux_head option is
configurable in the model config. For example, for the mobile ImageNet model,
the auxiliary head can be disabled using:

config = nasnet.mobile_imagenet_config()
config.set_hparam('use_aux_head', 0)
logits, endpoints = nasnet.build_nasnet_mobile(
    inputs, num_classes, config=config)
PiperOrigin-RevId: 188617685

* Automated g4 rollback of changelist 188617685

PiperOrigin-RevId: 188619139

* Removes spurious comment

* Adding logging utils

* restore utils

* delete old file

* update inputs and docstrings

* Update import and fix typos

* Fix formatting and comments

* Update tests

* Remove cd and checkout

* Updating comment

replace  `FLAGS.batch_size` by `images.get_shape()[0]`

Fix comment typos under models/research

We can directly get `batch_size` by `images.get_shape()[0]` in `inference` method, since maybe we will not use `cifar.inputs` method to build the input.

Some python files under models/research, it is wrong to use "Rather then" instead of "Rather than" in  comments.

adding deeplab in readme.md file under models/research

* Adding logging utils

* restore utils

* delete old file

* update inputs and docstrings

* make /official a python module

* remove /utils directory

* Update readme for python path setting

* Change readme texts

unnecessary variable assignment in loop

Fix a typo. Python function name

Update object detection with internal changes and remove unused BUILD files.

Small updates to astronet

PiperOrigin-RevId: 188503988

PiperOrigin-RevId: 188502535

Add deeplab model in tensorflow models

PiperOrigin-RevId: 188251743

PiperOrigin-RevId: 188246588

Add FAQ to object detection and replace tf.contrib.slim.tfexample_decoder.BackupHandler with object_detection.data_decoders.tf_example_decoder.BackupHandler.

PiperOrigin-RevId: 188191275

PiperOrigin-RevId: 188061451

PiperOrigin-RevId: 187941168

Modify the preprocessor proto and preprocessor_builder to match the arguments of the ssd_random_crop_pad_fixed_aspect_ratio preprocessor method.

PiperOrigin-RevId: 187877915

Add AstroNet to tensorflow/models

Fix to Memory.query + other small changes in Learning to Remember Rare Events

Update the eager MNIST example to use object-based checkpointing

from six.moves import xrange (en masse) AGAIN