GitLab

[Diff Privacy] Update README and fix code exec wrt Python 3.6

* Make boosted_trees Garden-official

* Fix nits

Catch errors during mkdirs, prevent duplicated download

Update eager.ipynb fixing typo

fixing typo

Fixed minor typo in Figure 3 caption

* Using BenchmarkLogger

* Using BenchmarkLogger

* Fixing tests

* Linting fixes.

* Adding comments

* Moving mock logger

* Moving mock logger

* Glinting

* Responding to CR

* Reverting assertEmpty

* Add unit test, official flags, and benchmark logs

* Fix checking errors

* Reorder imports to fix lints

* Address comments and correct model layers

* Add dataset checking

Fix typo

* Remove one hot labels, Add drop_remainder to batch, Use parallel interleve in imagenet dataset.

* minor lint fix

* Don't try to read the files twice...

* Add explanation for cycle_length

resolve 'float' to 'int' conversion, StringIO import, conacat str + byte

Added the MorphNet library

* Add recommendation model

* Fix pylints check error

* Rename file

* Address comments, update input pipeline, and add distribution strategy

* Fix import error

* Address more comments

* Fix lints

Update model_zoo.md

Fix broken table.

Nobody (I hope) is running TensorFlow 0.12 anymore.

PiperOrigin-RevId: 197225788

Update ADE20K dataset info.

Added change log

* Add boosted_trees to the official models

* Comments addressed from review, and a test added; using absl.flags instead of argparser.

* Used help_wrap. Also added instructions for inference.

[samples/java]: Explain where tensor names came from.

Fix #4013

* deprecate research/resnet

* also add a tf warning in the code

Fixes https://github.com/tensorflow/tensorflow/issues/19348

* Fix resnet missing layers.

The official v1 model contains BN and Relu between input layer and
pooling.

* Remove the BN and Relu for V2.

After some discussion with team and refer to existing
implementation, those two layer seems to be only useful in V1.
In V2, the first unit of the block will have a projection, that
apply the BN and Relu for the shortcut. Adding a comment to make
this clear.

* Expand the comment section.

* Remove the pre-trained checkpoint since its broken right now.

Will restore it once we have new checkpoint generated.

* Make codes more pythonic.

* Restore the indents

Restore the indents.