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change to lfads to allow training of encoder weights only

change to lfads to allow training of encoder weights only

Update generate_cifar10_tfrecords.py

The change you added did not work with python2, it does not have encoding in .log.  This fixes it. feel free to test on Python3.  I tested python2 and I am really sue this works fine for python3.  Good catch.  sorry for not having it fixed earlier.

Allow users to pass in num_classes to ResNet

Fix mnist_tpu.py which was giving unknown shape errors

Add a note about tf.image.convert_image_dtype

Update ISSUE_TEMPLATE.md

Return datasets directly from input_fns for TF1.5

change cPickle to pickle for python3
specify  encoding='latin1' when call pickle.load()

Use the short path for TPUClusterResolver

The long path doesn't work for TensorFlow 1.6 because the .python package under cluster_resolver doesn't exist.

Add ClusterResolver capability to mnist_tpu.py

* Refactoring input function

* Updating name of variable

Removed "coming soon' in "Image Compression" title

lfads: Adding do_train_readin option allowing fixed readin matrices

Fix typo

Return dataset from input_fn

Fix tensorflow/models gan typos. fixes #3295

Fix file reading issue for python3 code

Fix wrong reference in ptb_word_lm.py

tcn: Fix undefined 'v' in Python 3