# )
#
# copybara_config_test(
#     name = "copybara_config_test",
#     config = "copy.bara.sky",
#     tags = [
#         "noasan",
#         "nodfsan",
#         "nogotsan",
#         "nogpu",
#         "nomsan",
#         "nosan",
#         "notsan",
#         "noubsan",
#     ],
#     deps = [":copybara_config"],
# )
#
# action_config_test(
#     name = "build_cleaner_spec_test",

        "no_oss",  # Avoid downloading mnist data set in oss.
        "nomultivm",  # Not needed. Save some resources and test time.
        "notap",  # The test is too long to run as part of llvm presubmits (b/173661843).
        "notpu",  # Takes too long (b/192305423)
        "notsan",  # Not needed, and there were issues with timeouts.
        "requires-net:external",
    ],

    # TODO(b/175056184): Re-enable xla_enable_strict_auto_jit once the issues

#     data = ["batch_function_fallback.mlir.bef"],
#     enable_xprof = True,
#     includes = ["third_party/tf_runtime/include"],
#     owners = ["tf-runtime-testing"],
#     tags = [
#         "need_main",
#         "no_gpu",
#     ],
#     deps = [
#         "//base",
#         "//devtools/build/runtime:get_runfiles_dir",
#         "@com_google_absl//absl/log:check",
#         "//tensorflow/compiler/mlir/tfrt/ir:tfrt_fallback_async_opdefs",

# CUDA WHEEL
test:linux_cuda_wheel_test_filters --test_tag_filters=gpu,requires-gpu,-no_gpu,-no_oss,-oss_excluded,-oss_serial,-benchmark-test,-no_cuda11,-no_oss_py38,-no_oss_py39,-no_oss_py310
test:linux_cuda_wheel_test_filters --build_tag_filters=gpu,requires-gpu,-no_gpu,-no_oss,-oss_excluded,-oss_serial,-benchmark-test,-no_cuda11,-no_oss_py38,-no_oss_py39,-no_oss_py310

      test_and_build_filters += ['-no_windows_gpu', '-no_gpu']
    else:
      test_and_build_filters.append('-gpu')
  elif is_macos():
    test_and_build_filters += ['-gpu', '-nomac', '-no_mac', '-mac_excluded']
  elif is_linux():
    if ((environ_cp.get('TF_NEED_CUDA', None) == '1') or
        (environ_cp.get('TF_NEED_ROCM', None) == '1')):
      test_and_build_filters.append('-no_gpu')

  std::string gpu_device_name;
  if (GetDeviceName(ctx, &gpu_device_name, "GPU")) {
    TFE_TensorHandle* n_gpu =
        TFE_TensorHandleCopyToDevice(n, ctx, gpu_device_name.c_str(), status);
    EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    TFE_DeleteTensorHandle(n);
    n = n_gpu;
  }

  TFE_TensorHandle* m = TestMatrixTensorHandle100x100(ctx);