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[rllib] Fix APEX priorities returning zero all the time (#5980)

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* fix

* move example tests to end

* level err

* guard against none

* no trace test

* ignore thumbs

* np

* fix multi node

* fix
This commit is contained in:
Eric Liang
2019-10-26 13:23:42 -07:00
committed by GitHub
parent 0bb922c29f
commit a0dcb45dc3
6 changed files with 15 additions and 11 deletions
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doc/source/rllib-toc.rst
+5
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@@ -171,3 +171,8 @@ If you encounter out-of-memory errors, consider setting ``redis_max_memory`` and
For debugging unexpected hangs or performance problems, you can run ``ray stack`` to dump
the stack traces of all Ray workers on the current node, and ``ray timeline`` to dump
a timeline visualization of tasks to a file.
TensorFlow 2.0
~~~~~~~~~~~~~~
RLlib currently runs in ``tf.compat.v1`` mode. This means eager execution is disabled by default, and RLlib imports TF with ``import tensorflow.compat.v1 as tf; tf.disable_v2_behaviour()``. Eager execution can be enabled manually by calling ``tf.enable_eager_execution()`` or setting the ``"eager": True`` trainer config.