GitLab

* 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

Fix notebook text

Updating comments in export_tflite_ssd_graph scripts

float32 should be fine for mnist loss and accuracy metrics and float64
is not available on TPUs.

* Sentiment analysis implmenttion in pure Keras.

- This is an update for the sentiment analysis model's pure Keras version.
-- Converting it from the version using Tensorflow's estimator, as it has a issue that affects the accuracy of the model negatively.
- The implementation is with the reference to paddle version.
-- Adjustment of the hyperparameters was done to achieve the accuracy of ~90%

* addressing comments

* addressig comments

also adding

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

for each module as it seemingly is a standard in the repo.

* addressing the final comment.

Fixed minor bug in STEVE which sometimes prevented resuming experiments.