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[WIP] Upgrade to TensorFlow 1.0.0 (#426)

* Make edward compatible with Tensorflow 0.12

I have changed a few things in order to make edward compatible with TF 0.12:

- `tf.initialize_all_variables()` calls have been renamed to `tf.global_variables_initializer()`

- `tf.Variable.ref()` calls are replaced with `value()`. See: https://github.com/tensorflow/tensorflow/commit/c46f70c06#diff-ae1a8f7b66539f000615a4ab7e4b2151R460. `ref()` is an internal function now. But I'm not sure whether `value()` is the correct function to use here.

- `tf.GraphKeys.VARIABLES` is replaced with `tf.GraphKeys.GLOBAL_VARIABLES`.

As a side note, even after applying these changes, edward still doesn't work because of the bug introduced in TF 0.12rc0, see: https://github.com/tensorflow/tensorflow/commit/77cfa97ac for the fix. Therefore I had to use TF master branch.

There are still 5 test failing, I'm looking into them.

* Update TF to 0.12 in travis environment.

* Adapt to new tf.contrib.distributions.QuantizedDistribution 0.12 API.

* Remove tf.Variable.value() calls. Closes #367.

* Replace all tf.GraphKeys.VARIABLES with tf.GraphKeys.GLOBAL_VARIABLES

* Replace all tf.initialize_all_variables() with tf.global_variables_initializer()

* Use new tf.contrib.distributions.TransformedDistribution API

* update setup.py; travis.yml

* run tf_upgrade.py on edward/,examples/,tests/

* fix pep8 errors

* reverse order of tf.concat

* go through each file and make manual api changes

* use variable._ref(); fix empirical.py, test_beta_log_prob.py

* fix bayesian_linear_regression_tensor.py

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