EXPECT_TF_META("v", list.size(), TF_ATTR_STRING, list_total_size);
  std::unique_ptr<void*[]> values(new void*[list.size()]);
  std::unique_ptr<size_t[]> lens(new size_t[list.size()]);
  std::unique_ptr<char[]> storage(new char[list_total_size]);
  TF_OperationGetAttrStringList(oper, "v", values.get(), lens.get(),
                                list.size(), storage.get(), list_total_size,
                                s_);

  uint64 size;
  status = env_->GetFileSize(filepath, &size);
  EXPECT_PRED2(UnimplementedOrReturnsCode, status, Code::OK);
  if (!status.ok()) GTEST_SKIP() << "GetFileSize() not supported: " << status;
  EXPECT_EQ(size, test_data.size());

  status = env_->GetFileSize(new_filepath, &size);
  EXPECT_PRED2(UnimplementedOrReturnsCode, status, Code::OK);

  std::vector<int64_t> values(4, 1);
  TFE_OpSetAttrIntList(op, "ksize", values.data(), values.size());
  TFE_OpSetAttrIntList(op, "strides", values.data(), values.size());

  const int BUFFER_SIZE = 10;
  char buffer[BUFFER_SIZE];
  std::strncpy(buffer, "VALID", BUFFER_SIZE);
  TFE_OpSetAttrString(op, "padding", buffer, std::strlen(buffer));

  }

  void CompareInt32Tensor(const std::vector<int32_t>& expected, TF_Tensor* t) {
    int32_t* data = static_cast<int32_t*>(TF_TensorData(t));
    size_t size = TF_TensorByteSize(t);
    ASSERT_EQ(expected.size() * sizeof(int32_t), size);
    for (int i = 0; i < expected.size(); ++i) {
      ASSERT_EQ(expected[i], data[i]) << "Different data at index " << i;
    }
  }

  int filesystem_ops_abi;
  int filesystem_ops_api;
  size_t filesystem_ops_size;
  TF_FilesystemOps* filesystem_ops;
  int random_access_file_ops_abi;
  int random_access_file_ops_api;
  size_t random_access_file_ops_size;
  TF_RandomAccessFileOps* random_access_file_ops;
  int writable_file_ops_abi;
  int writable_file_ops_api;
  size_t writable_file_ops_size;
  TF_WritableFileOps* writable_file_ops;

build:nvcc_clang --@local_config_cuda//:cuda_compiler=nvcc


# Debug config
build:dbg -c dbg
# Only include debug info for files under tensorflow/, excluding kernels, to
# reduce the size of the debug info in the binary. This is because if the debug
# sections in the ELF binary are too large, errors can occur. See
# https://github.com/tensorflow/tensorflow/issues/48919.

  int64_t list_size;

  // Type of elements of the list if is_list != 0.
  // Type of the single value stored in the attribute if is_list == 0.
  TF_AttrType type;

  // Total size the attribute value.
  // The units of total_size depend on is_list and type.
  // (1) If type == TF_ATTR_STRING and is_list == 0
  //     then total_size is the byte size of the string
  //     valued attribute.

# developing one.
#
# The current aim of the 'v2' implementation is to allow 'unused' ops and
# kernels to be discarded by the linker (to the benefit of binary size).
bool_flag(
    name = "enable_registration_v2",
    build_setting_default = False,
    visibility = ["//visibility:public"],
)

config_setting(
    name = "registration_v1",

        ' binary GPU code, or as "sm_xy" to only include the binary '
        'code.\nPlease note that each additional compute capability '
        'significantly increases your build time and binary size, and that '
        'TensorFlow only supports compute capabilities >= 3.5 [Default is: '
        '%s]: ' % default_cuda_compute_capabilities)
    tf_cuda_compute_capabilities = get_from_env_or_user_or_default(