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Cython is must installed package for building cocoapi. else the build will not initiate.

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)

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

This reverts commit 6d829caa.

Make TFGAN tutorial Python 3 compatible. Fixes issue #3413

This commit adds a basic end to end test for resnet cifar10 and imagenet models to check for syntax errors outside of the core neural net code. 

Add pkulzc to object_detection owners.

This is not a performance issue for the instances replaced because
each instance is expected to iterate over zipped lists of < ~20
references to numpy arrays.

PiperOrigin-RevId: 189060074

plot shown in vis_segmentation

remove duplicate flags

Update dataset examples

Fix typo in paper's arxiv.org url