ASSERT_EQ(kernel_list.kernel_size(), 1);
  EXPECT_EQ(kernel_list.kernel(0).op(), "TestOpWithSingleKernel");
  EXPECT_EQ(kernel_list.kernel(0).device_type(), "CPU");
  TF_DeleteBuffer(kernel_list_buf);
  TF_DeleteStatus(status);
}

TEST(TestKernel, TestGetRegisteredKernelsForOpNoKernels) {
  TF_Status* status = TF_NewStatus();

# limitations under the License.
# ==============================================================================

setup_file() {
    bazel version  # Start the bazel server

    # Fixes "fatal: detected dubious ownership in repository" for Docker.
    git config --system --add safe.directory '*'
    git config --system protocol.file.allow always

        "//tensorflow/c/eager:c_api_experimental",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/distributed_runtime/rpc:grpc_server_lib",
    ],

  # TODO(gunan): Add sanity checks to loaded modules here.

  # Load first party dynamic kernels.
  _tf_dir = _os.path.dirname(_current_file_location)
  _kernel_dir = _os.path.join(_tf_dir, "core", "kernels")
  if _os.path.exists(_kernel_dir):
    _ll.load_library(_kernel_dir)

  # Load third party dynamic kernels.
  for _s in _site_packages_dirs:
    _plugin_dir = _os.path.join(_s, "tensorflow-plugins")

// TF_Server functions ----------------------------------------------

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
TF_Server::TF_Server(std::unique_ptr<tensorflow::ServerInterface> server)
    : target(server->target()), server(std::move(server)) {}
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

TF_Server* TF_NewServer(const void* proto, size_t proto_len,

    and
    [GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile)
    for the required packages. Alternatively, use the said
    [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build)
    (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no

  // on cluster configurations provided in `server_def`; otherwise, update
  // existing context state with the provided `server_def`. Contexts created
  // on remote tasks will be considered stale and garbage collected after
  // `keep_alive_secs` of inactivity.
  virtual Status SetOrUpdateServerDef(const ServerDef& server_def,
                                      bool reset_context, int keep_alive_secs,

RUN /setup.python.sh python3.12 devel.requirements.txt

FROM devel as tf
# Setup TF Python environment.
COPY devel.requirements.txt /devel.requirements.txt
COPY setup.python.sh /setup.python.sh
RUN /setup.python.sh python3.9 devel.requirements.txt
RUN /setup.python.sh python3.10 devel.requirements.txt
RUN /setup.python.sh python3.11 devel.requirements.txt
RUN /setup.python.sh python3.12 devel.requirements.txt

        --lockfile=requirements.txt:./requirements_lock_3_12.txt
        --lockfile=requirements.txt:./ci/official/containers/linux_arm64/devel.requirements.txt
        --lockfile=requirements.txt:./ci/official/containers/linux_arm64/jax.requirements.txt

  # TODO(gunan): Add sanity checks to loaded modules here.

  # Load first party dynamic kernels.
  _tf_dir = _os.path.dirname(_current_file_location)
  _kernel_dir = _os.path.join(_tf_dir, "core", "kernels")
  if _os.path.exists(_kernel_dir):
    _ll.load_library(_kernel_dir)

  # Load third party dynamic kernels.
  for _s in _site_packages_dirs:
    _plugin_dir = _os.path.join(_s, "tensorflow-plugins")