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Fix a couple of bugs and edit spacing

Use NUM_WORDS in input_shape

Fix a couple of bugs: replaced the fizzbuzz call whose signature no longer matched, and remove the Flatter layer which seems to be buggy. Also include minor edits to match the style guide.

Adding keypointnet to research/models.

* PiperOrigin-RevId: 201234832

* PiperOrigin-RevId: 202507333

* PiperOrigin-RevId: 204320344

* Add PNASNet-5 mobile network model and cell structure.

PiperOrigin-RevId: 204735410

* Add option to customize individual projection layer activation.

PiperOrigin-RevId: 204776951

* fix batch_size in transformer_main.py

fix batch_size in transformer_main.py which causes ResourceExhaustedError: OOM during training Transformer models using models/official/transformer

* small format change

change format from one line to multiple ones in order to pass lint tests

* remove trailing space and add comment

Object detection: Added explanation how to manually download and use protoc

PiperOrigin-RevId: 205684720

A3C Blog Post

The following error doesn't occur with the above change in code.

Error: Argument must be a dense tensor: range(0, 3) - got shape [3], but wanted []

The range function on the vairable 'num_boundaries' should be a list! Please merge this request!

Use float32 metrics in mnist_eager

Deep Contextual Bandits code for tensorflow/models