message: Adds comment that details the behavior of the intra-op thread pool config option.
diff: @@ -367,6 +367,17 @@ message ConfigProto {
  // The execution of an individual op (for some op types) can be
  // parallelized on a pool of intra_op_parallelism_threads.
  // 0 means the system picks an appropriate number.
  + //
  + // If you create an ordinary session, e.g., from Python or C++,
  + // then there is exactly one intra op thread pool per process.
  + // The first session created determines the number of threads in this pool.
  + // All subsequent sessions reuse/share this one global pool.
  + //
  + // There are notable exceptions to the default behavior describe above:
  + // 1. There is an environment variable for overriding this thread pool,
  + // named TF_OVERRIDE_GLOBAL_THREADPOOL.
  + // 2. When connecting to a server, such as a remote `tf.train.Server`
  + // instance, then this option will be ignored altogether.
  int32 intra_op_parallelism_threads = 2;
  // Nodes that perform blocking operations are enqueued on a pool of
  