GitLab

Fix 2 typos in eager.ipynb

Fixed #4083 and two points of optimizations

1. Solved by adding cast with tf.cast(predictions, tf.float64) at the point of
problem case.
2. Completed make_dataset() of automobile_data.py for the transforming of
DataFrame to Dataset, the standard one we know of official site.
3. Added from_dataset() in automobile_data.py for re-use by others sites in
cookbook/regression.

* Add minigo unit test

* Add minigo unit test

* Fix gpylints and update readme

Removing unnecessary clipping in preprocessor.py (fix #2066)

Previously the timestamp we pushed to bigquery was PDT, but the
timezone spec was set to 'Z' (UTC). This is provide incorrect
value to bigquery, and might affect analysis down the road.

* Update the benchmark logger to have default logging.

1. Create global instance of benchmark logger, which default log to
tf.logging.info
2. Allow user to config the logging location.
3. Fix nits in code and comment.

* Fix lint and test error.

* Address review comments.

* Remove the duplicated print statement.

This reverts commit 32aa6563.

* Add minigo

* Fix comments and make python version compatible

* Fix TensorRT test output and add int8 result.

* Fix comments

* Removing footnote declaration as well

Typo in ADE20K instructions.

Object detection internal changes

Switch image link to https. Devsite wont load this over http.

* fix issue 'could not satisfy explicit device'

* remove the line unrelated to fix issue

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image evaluation).

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Returning eval_on_train_input_fn from create_estimator_and_inputs(), rather than using train_input_fn in EVAL mode (which will still have data augmentation).

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