AbstractFunction* func;
  TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(ctx));
  if (!tracing_ctx) {
    tsl::Set_TF_Status_from_Status(
        s, tensorflow::errors::InvalidArgument(
               "Only TracingContext can be converted into a function."));
    return nullptr;
  }
  tsl::Set_TF_Status_from_Status(s,
                                 tracing_ctx->Finalize(unwrap(outputs), &func));

tensorflow::ServerDef GetServerDef(const std::string& job_name, int num_tasks) {
  tensorflow::ServerDef server_def;
  server_def.set_protocol("grpc");
  server_def.set_job_name(job_name);
  server_def.set_task_index(0);
  tensorflow::ClusterDef* cluster_def = server_def.mutable_cluster();
  tensorflow::JobDef* job_def = cluster_def->add_job();
  job_def->set_name(job_name);
  for (int i = 0; i < num_tasks; i++) {
    int port = tensorflow::testing::PickUnusedPortOrDie();

:: WARRANTIES OR CONDITIONS OF ANY KIND< either express or implied.  See the
:: License for the specific language governing permissions and limitations under
:: the License.

@echo off

set configure_dir=%~dp0
set configure_dir=%configure_dir:~0,-1%
python "%configure_dir%\configure.py" %* || ( exit /b )

'''
 Repository rule to set some environment variables.
 Can be set via build parameter "--repo_env=<VARIABLE_NAME>=<value>"
 e.g "--repo_env=REQUIREMENTS_FILE_NAME=requirements.in"

 List of variables:
 REQUIREMENTS_FILE_NAME
'''

def _updater_config_repository_impl(repository_ctx):
    repository_ctx.file("BUILD", "")
    requirements_file_name = repository_ctx.os.environ.get("REQUIREMENTS_FILE_NAME", "requirements.in")
    repository_ctx.file(

                                "Expected initialized `" #STRUCT_NAME     \
                                "` structure with `struct_size` field "   \
                                "set to " #SIZE_VALUE_NAME                \
                                ". Found `struct_size` = 0.");            \
    }                                                                     \
  } while (0)

class ImmediateExecutionContext;
class ServerDef;
class WorkerEnv;
class WorkerCacheInterface;

class ImmediateExecutionDistributedManager {
 public:
  virtual ~ImmediateExecutionDistributedManager() {}

  // Set up distributed execution environment on local and remote tasks.
  // When `reset_context` is true, initialize new cluster context state based
  // on cluster configurations provided in `server_def`; otherwise, update

typedef struct TFE_TensorDebugInfo TFE_TensorDebugInfo;

// Retrieves TFE_TensorDebugInfo for `handle`.
// If TFE_TensorHandleTensorDebugInfo succeeds, `status` is set to OK and caller
// is responsible for deleting returned TFE_TensorDebugInfo.
// If TFE_TensorHandleTensorDebugInfo fails, `status` is set to appropriate
// error and nullptr is returned. This function can block till the operation
// that produces `handle` has completed.

    return nullptr;
  }

  std::unordered_set<string> tag_set;
  for (int i = 0; i < tags_len; i++) {
    tag_set.insert(string(tags[i]));
  }

  tensorflow::SavedModelBundle bundle;
  status->status =
      tensorflow::LoadSavedModel(session_options->options, run_options_proto,
                                 export_dir, tag_set, &bundle);
  if (!status->status.ok()) return nullptr;

      with:
        output: ' '
    - name: Report list of changed files
      run: |
        echo Changed files: ${{ steps.get_file_changes.outputs.files }}
    - name: Set up Python 3.9
      uses: actions/setup-python@2c3dd9e7e29afd70cc0950079bde6c979d1f69f9 # v4.3.1
      with:
        python-version: "3.9"
    - name: Install Python dependencies
      run: |

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
set -euxo pipefail

# Run this from inside the tensorflow github directory.
# Usage: setup_venv_test.sh venv_and_symlink_name "glob pattern for one wheel file"
# Example: setup_venv_test.sh bazel_pip "/tf/pkg/*.whl"
#