# errors.
# There is ongoing work on Bazel team's side to provide support for transitive
# shared libraries. As part of migrating to transitive shared libraries, we
# hope to provide a better mechanism for control over symbol exporting, and
# then tackle this issue again.
#
# TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping
# all library archives in -whole_archive -no_whole_archive.

A <code>nil</code> map is equivalent to an empty map except that no elements
may be added.
</p>

<h3 id="Channel_types">Channel types</h3>

<p>
A channel provides a mechanism for
<a href="#Go_statements">concurrently executing functions</a>
to communicate by
<a href="#Send_statements">sending</a> and
<a href="#Receive_operator">receiving</a>
values of a specified element type.

    *   CSE pass from Tensorflow is now disabled in XLA.
*   `tf.data`:
    *   `tf.data.Dataset`
    *   Add support for building C++ Dataset op kernels as external libraries,
        using the `tf.load_op_library()` mechanism.
    *   `Dataset.list_files()` now shuffles its output by default.
    *   `Dataset.shuffle(..., seed=tf.constant(0, dtype=tf.int64))` now yields
        the same sequence of elements as `Dataset.shuffle(..., seed=0)`.

    deps = select({
        "//conditions:default": ["@com_github_grpc_grpc//:grpc++"],
    }),
)
# copybara:comment_end

# A shared object which includes registration mechanisms for ops and
# kernels. Does not include the implementations of any ops or kernels. Instead,
# the library which loads libtensorflow_framework.so
# (e.g. _pywrap_tensorflow_internal.so for Python, libtensorflow.so for the C