)

filegroup(
    name = "pywrap_headers_monitoring_reader",
    srcs = [
        "c_api_experimental_reader.h",
        "tfe_monitoring_reader_internal.h",
    ],
    visibility = ["//tensorflow:__subpackages__"],
)

filegroup(
    name = "headers_monitoring_reader",
    srcs = [
        "c_api_experimental_reader.h",
    ],
    visibility = ["//tensorflow:__subpackages__"],
)

                                                    TF_Status* status);

// Set configuration key and value using coordination service.
// If coordination service is enabled, the key-value will be stored on the
// leader and become accessible to all workers in the cluster.
// Currently, a config key can only be set with one value, and subsequently
// setting the same key will lead to errors.
//

    return;
  }

  TF_RandomAccessFile reader;
  NewRandomAccessFile(filesystem, path, &reader, status);
  if (TF_GetCode(status) != TF_OK) return;
  char* buffer = static_cast<char*>(plugin_memory_allocate(metadata->size()));
  int64_t read =
      tf_random_access_file::Read(&reader, 0, metadata->size(), buffer, status);
  tf_random_access_file::Cleanup(&reader);
  if (TF_GetCode(status) != TF_OK) return;

    job_def->mutable_tasks()->insert(
        {i, tensorflow::strings::StrCat("localhost:", port)});
  }
  auto* config = server_def.mutable_default_session_config();
  config->mutable_experimental()->set_collective_group_leader(
      tensorflow::strings::StrCat("/job:", job_name, "/replica:0/task:", 0));
  auto* rewrite_options =
      config->mutable_graph_options()->mutable_rewrite_options();
  rewrite_options->set_scoped_allocator_optimization(