TEST_F(CApiAttributesTest, ShapeList) {
  const int64_t shape_1[] = {1, 3};
  const int64_t shape_2[] = {2, 4, 6};
  const int64_t* list[] = {&shape_1[0], &shape_2[0]};
  const size_t list_size = TF_ARRAYSIZE(list);
  const int ndims[] = {TF_ARRAYSIZE(shape_1), TF_ARRAYSIZE(shape_2)};
  const int total_ndims = 5;  // ndims[0] + ndims[1]

  auto desc = init("list(shape)");
  TF_SetAttrShapeList(desc, "v", list, ndims, list_size);

// setting a shape of [-1, 2] with an existing shape [2, -1] would set
// a final shape of [2, 2] based on shape merging semantics.
//
// Returns an error into `status` if:
//   * `output` is not in `graph`.
//   * An invalid shape is being set (e.g., the shape being set
//     is incompatible with the existing shape).
TF_CAPI_EXPORT extern void TF_GraphSetTensorShape(TF_Graph* graph,

    ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

    TFE_Op* shape_op = ShapeOp(ctx, hgpu);
    TFE_OpSetDevice(shape_op, gpu_device_name.c_str(), status.get());
    ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
    TFE_TensorHandle* retvals[1];
    int num_retvals = 1;
    TFE_Execute(shape_op, &retvals[0], &num_retvals, status.get());

				},
				"subprojects":[
					"launcher",
					"build-state",
					"time",
					"logging-api",
					"public-api-tests",
					"kotlin-dsl-plugins",
					"serialization",
					"toolchains-jvm-shared",
					"build-process-services",
					"docs-asciidoctor-extensions-base",
					"internal-instrumentation-processor"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},

# Tensorflow to the default, however test coverage wasn't enough to catch the
# 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.
#

 *  Fix: Support TLSv1.3 on devices that support it.

 *  Fix: Share pooled connections across equivalent `OkHttpClient` instances. Previous releases had
    a bug where a shared connection pool did not guarantee shared connections in some cases.
 *  Fix: Prefer the server's response body on all conditional cache misses. Previously we would

cc_library(
    name = "grpc++",
    visibility = ["//visibility:public"],
    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

                                                           TF_DeleteStatus);

  TF_Tensor* tensor_shape = Int32Tensor({37, 1});
  TF_Operation* shape = Const(tensor_shape, func_graph.get(), s.get(), "shape");
  TF_Operation* random =
      RandomUniform(shape, TF_FLOAT, func_graph.get(), s.get());

  TF_Output outputs[] = {{random, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name,

   *
   * @param sets the sets to choose elements from, in the order that the elements chosen from those
   *     sets should appear in the resulting lists
   * @param <B> any common base class shared by all axes (often just {@link Object})
   * @return the Cartesian product, as an immutable set containing immutable lists
   * @throws NullPointerException if {@code sets}, any one of the {@code sets}, or any element of a

		HTTPStatusCode: http.StatusConflict,
	},
	ErrBucketAlreadyExists: {
		Code:           "BucketAlreadyExists",
		Description:    "The requested bucket name is not available. The bucket namespace is shared by all users of the system. Please select a different name and try again.",
		HTTPStatusCode: http.StatusConflict,
	},
	ErrAllAccessDisabled: {
		Code:           "AllAccessDisabled",