GitLab

* move wide_deep parser

* move mnist parsers

syntax error : download_and_convert_VOC2012.sh

Add mobilenetv2 support in deeplab

Fix DeprecationWarning

Update comment on folder structure

Updated README run instructions

Add a tf.summary.scalar call for L2 loss in resnet

from six.moves import xrange (en masse) YET AGAIN

* Force cast of num_classes to integer

PiperOrigin-RevId: 188335318

* Updating config util to allow overwriting of cosine decay learning rates.

PiperOrigin-RevId: 188338852

* Make box_list_ops.py and box_list_ops_test.py work with C API enabled.

The C API has improved shape inference over the original Python
code. This causes some previously-working conds to fail. Switching to smart_cond fixes this.

Another effect of the improved shape inference is that one of the
failures tested gets caught earlier, so I modified the test to reflect
this.

PiperOrigin-RevId: 188409792

* Fix parallel event file writing issue.

Without this change, the event files might get corrupted when multiple evaluations are run in parallel.

PiperOrigin-RevId: 188502560

* Deprecating the boolean flag of from_detection_checkpoint.

Replace with a string field fine_tune_checkpoint_type to train_config to provide extensibility. The fine_tune_checkpoint_typ...

fix bugs in Python 3.X

Edit comment on folder structure to match actual folder structure.

fix this issue https://github.com/tensorflow/models/issues/2948

* Add session hook for benchmark metric logging.

Current hook is very similar as the LoggingTensorHook. Some of the
function are directly copied since the original one was not
exposed for import. We should seek to eventually move this code to
core when it is mature enough.

* Update metric_hook to use LoggingTensorHook as base.

The existing hook is similar enough to LoggingTensorHook, and
we should eliminate duplicate as much as possible.

* Address review comment.

1. Update global step tensor handle.
2. Update tests.
3. Update document.

* Update tests for py3.

* Fix lint error

This commit fixes `DeprecationWarning: Please use assertEqual instead.
  self.assertEquals(len(scales_to_logits), expected_num_logits[i])` deprecation warning.

Add LexNet noun compounds model to models repository.

Update running_pets instructions to link to running locally.

* Try out affine layer instead of dense

* Use reduce mean instead of avg pooling

* Remove np

* Use reduce mean instead of avg pooling

* Fix axes

* Cleanup

* Fixing comment

* Fixing tests

Set correct number of train_epochs for resnet on imagenet, and fix help interception caused by moving arg parsing into main functions for resnet. (#3653)

* Glint everything

* Adding rcfile and pylinting

* Extra newline

* Few last lints

Use util functions hooks_helper and parser in mnist and wide_deep, and rename epochs_between_eval (from epochs_per_eval) (#3650)

Probable syntax error in line 43. Remove "function" for execution.

Add benchmark utility functions for metric logging

samples/java: Link to Fiji/ImageJ integration.

1. Update logger to convert the value type to float to please JSON.
2. Update logger test to call parent test tearDown.

Python3 compatibility for AstroNet

* use proper temp directory for end to end tests.

* add supers to tearDown