GitLab

* Add run individual step only option

* Fix comments and update readme

* Add valiation argument

* Address comments

* Make code shorter

* Fix more lints

195269567  by Zhichao Lu:

    Removing image summaries during train mode.

--
195147413  by Zhichao Lu:

    SSDLite config for mobilenet v2.

--
194883585  by Zhichao Lu:

    Simplify TPU compatible nearest neighbor upsampling using reshape and broadcasting.

--
194851009  by Zhichao Lu:

    Include ava v2.1 detection models in model zoo.

--
194292198  by Zhichao Lu:

    Add option to evaluate any checkpoint (without requiring write access to that directory and overwriting any existing logs there).

--
194122420  by Zhichao Lu:

    num_gt_boxes_per_image and num_det_boxes_per_image value incorrect.
    Should be not the expand dim.

--
193974479  by Zhichao Lu:

    Fixing a bug in the coco evaluator.

--
193959861  by Zhichao Lu:

    Read the default batch size from config file.

--
193737238  by Zhichao Lu:

    Fix data augmentation functions.

--
193576336  by Zhichao Lu:

    Add support for training keypoints.

--
193409179  by Zhichao Lu:

    Up...

* Adding option for one_box_for_all_classes to the box_predictor

PiperOrigin-RevId: 192813444

* Extend to accept different ratios of conv channels.

PiperOrigin-RevId: 192837477

* Remove inaccurate caveat from proto file.

PiperOrigin-RevId: 192850747

* Add option to set dropout for classification net in weight shared box predictor.

PiperOrigin-RevId: 192922089

* fix flakiness in testSSDRandomCropWithMultiClassScores due to randomness.

PiperOrigin-RevId: 193067658

* Post-process now works again in train mode.

PiperOrigin-RevId: 193087707

* Adding support for reading in logits as groundtruth labels and applying an optional temperature (scaling) before softmax in support of distillation.

PiperOrigin-RevId: 193119411

* Add a util function to visualize value histogram as a tf.summary.image.

PiperOrigin-RevId: 193137342

* Do not add batch norm parameters to final conv2d ops that predict boxes encodings and class...

Increase minimum TF version for DEFINE_enum and rename variable mappings for change to RNN variable names. (#4123)

* + plot_partition.py (budget allocation with smooth sensitivity).
+ utility_queries_answered.py (Figure 1, left).
+ several changes to the scripts required for the ICLR poster.

* Adding Ananth Raghunathan (pseudorandom@) to the list of owners of differential_privacy.

* Fixing the owners list of differential_privacy.

* Add minigo unit test

* Add minigo unit test

* Fix gpylints and update readme

* Add minigo

* Fix comments and make python version compatible

* Fix TensorRT test output and add int8 result.

* Fix comments

* Removing footnote declaration as well

* fix issue 'could not satisfy explicit device'

* remove the line unrelated to fix issue

PiperOrigin-RevId: 192624207

image evaluation).

PiperOrigin-RevId: 192583425

PiperOrigin-RevId: 192529600

PiperOrigin-RevId: 192512429

PiperOrigin-RevId: 192494267

PiperOrigin-RevId: 192485456

PiperOrigin-RevId: 192472546

PiperOrigin-RevId: 192421843

Returning eval_on_train_input_fn from create_estimator_and_inputs(), rather than using train_input_fn in EVAL mode (which will still have data augmentation).

PiperOrigin-RevId: 192320460

PiperOrigin-RevId: 192226678

PiperOrigin-RevId: 192195514

PiperOrigin-RevId: 192166224

PiperOrigin-RevId: 192147130

PiperOrigin-RevId: 192132440

PiperOrigin-RevId: 192006190

Migrating away from Experiment class, as it is now deprecated. Also, refactoring into a separate model library and binaries.

PiperOrigin-RevId: 192004845