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* Add new import paths to mnist_tpu.py

This adds new import paths to mnist_tpu.py so individuals can check out the git repository and run `python mnist_tpu.py` without finagling with python import search paths.

* Fix lint errors

* Add disable= to pylint instructions

* Remove parent path

* Update comments

Refer to commit "use reduce_mean instead of Average Pooling"(d5663b3c), "second_pool_size" and "second_pool_stride" no longer needed in resnet_model

Increase minimum TF version for DEFINE_enum and rename variable mappings for change to RNN variable names. (#4123)

fix import errors and type error in numpy for the PATE implementation

1. trainning hooks and train/eval function does not need to be
declared several times.
2. change to use tf.logging.info instead of print
3. Show the current index and total count of training cycle, which
give user some hint about where they are in the whole process.

* + plot_partition.py (budget allocation with smooth sensitivity).
+ utility_queries_answered.py (Figure 1, left).
+ several changes to the scripts required for the ICLR poster.

* Adding Ananth Raghunathan (pseudorandom@) to the list of owners of differential_privacy.

* Fixing the owners list of differential_privacy.

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.