TF_ImportGraphDefOptions* opts, const char* prefix);

// Set the execution device for nodes in `graph_def`.
// Only applies to nodes where a device was not already explicitly specified.
// `device` is copied and has no lifetime requirements.
TF_CAPI_EXPORT extern void TF_ImportGraphDefOptionsSetDefaultDevice(
    TF_ImportGraphDefOptions* opts, const char* device);

// Set whether to uniquify imported operation names. If true, imported operation

  csession.CloseAndDelete(s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  TF_DeleteGraph(graph);
  TF_DeleteStatus(s);
}

// If `device` is non-empty, run Min op on that device.
// Otherwise run it on the default device (CPU).
void RunMinTest(const string& device, bool use_XLA) {
  TF_Status* s = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

  // Make a placeholder operation.

                            "schema": {
                                "type": "array",
                                "items": {"type": "integer"},
                                "title": "Device Ids",
                            },
                        }
                    ],
                    "responses": {
                        "200": {

    name = "is_cuda_enabled",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_enabled",
        "@local_config_cuda//cuda:using_config_cuda",
    ),
)

# Config setting that is satisfied when CUDA device code should be compiled
# with clang. It does not imply that CUDA support has been enabled.
alias(
    name = "is_cuda_compiler_clang",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_compiler_clang",

};

TEST_F(CApiFunctionTest, OneOp_ZeroInputs_OneOutput) {
  /*
   *                constant
   *                   |
   *                   v
   */
  // Define
  TF_Operation* c = ScalarConst(10, func_graph_, s_, "scalar10");
  Define(-1, {}, {}, {c}, {});

  // Use, run, and verify
  TF_Operation* func_op = Use({});
  Run({}, func_op, 10);
  VerifyFDef({"scalar10_0"}, {}, {{"scalar10", DT_INT32}},

common:mkl --define=build_with_mkl=true --define=enable_mkl=true
common:mkl --define=tensorflow_mkldnn_contraction_kernel=0
common:mkl --define=build_with_openmp=true
common:mkl -c opt

# config to build OneDNN backend with a user specified threadpool.
common:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true
common:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0

		return
	}

	// Permission checks:
	//
	// 1. Any type of account (i.e. access keys (previously/still called service
	// accounts), STS accounts, internal IDP accounts, etc) with the
	// policy.UpdateServiceAccountAdminAction permission can update any service
	// account.
	//
	// 2. We would like to let a user update their own access keys, however it

                    .toList();
            if (!unversionedPlugins.isEmpty()) {
                logger.warn("Version not locked for default bindings plugins " + unversionedPlugins
                        + ", you should define versions in pluginManagement section of your " + "pom.xml or parent");
            }
        }

        private void checkThreadSafety(BuildPlan buildPlan) {
            if (threads > 1) {

  count: 20
  avatarUrl: https://avatars.githubusercontent.com/u/5690226?v=4
  url: https://github.com/rogerbrinkmann
DevDae:
  login: DevDae
  count: 20
  avatarUrl: https://avatars.githubusercontent.com/u/87962045?u=08e10fa516e844934f4b3fc7c38b33c61697e4a1&v=4
  url: https://github.com/DevDae
sattosan:
  login: sattosan
  count: 19

	encodedSuccessResponse := encodeResponse(response)

	// write success response.
	writeSuccessResponseXML(w, encodedSuccessResponse)
}

// ListBucketsHandler - GET Service.
// -----------
// This implementation of the GET operation returns a list of all buckets
// owned by the authenticated sender of the request.