has_dynamic_op = true;
      dynamism_op_counter->GetCell(op->getName().getStringRef().str())
          ->IncrementBy(1);
    }

    return WalkResult::advance();
  });

  if (has_dynamic_op) {
    dynamism_function_counter->GetCell(kDynamicFunctionName)->IncrementBy(1);
  } else {
    dynamism_function_counter->GetCell(kNotDynamicFunctionName)->IncrementBy(1);
  }
}
}  // namespace

 *
 * @author Gregory Kick
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
abstract class RegularImmutableTable<R, C, V> extends ImmutableTable<R, C, V> {
  RegularImmutableTable() {}

  abstract Cell<R, C, V> getCell(int iterationIndex);

  @Override
  final ImmutableSet<Cell<R, C, V>> createCellSet() {
    return isEmpty() ? ImmutableSet.<Cell<R, C, V>>of() : new CellSet();
  }

  @WeakOuter

// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:
// streamz->GetCell("label-value")->IncrementBy(1);
//
// The test code can then read and test the value of that counter:
//
// auto* reader = TFE_MonitoringNewCounterReader("name");
// test();

}

tensorflow::Status RecordStatusIfError(absl::Status status) {
  if (status.ok()) {
    return absl::OkStatus();
  }

  tf_dialect_to_executor_dialect_status->GetCell(kExportFailed)->IncrementBy(1);
  VLOG(1) << "Failed to export from TF Dialect to TF Executor Dialect. "
          << status;

  constexpr char bridge_subcomponent[] =
      "TFXLA_TF_FUNCTIONAL_TO_EXECUTOR_EXPORT_v2";

    if (has_tpu_partitioned_call) break;
  }

  std::string has_tpu_partitioned_call_str =
      has_tpu_partitioned_call ? "true" : "false";
  has_tpu_partitioned_call_streamz->GetCell(has_tpu_partitioned_call_str)
      ->IncrementBy(1);
}

}  // namespace

std::unique_ptr<mlir::OperationPass<mlir::ModuleOp>>
CreateInferenceMetricsPass() {
  return std::make_unique<InferenceMetricsPass>();

  if (status.ok()) {
    return absl::OkStatus();
  }

  VLOG(1) << "Failed to export from TF Dialect to TF Executor Dialect. "
          << status;
  tf_dialect_to_executor_dialect_status->GetCell(kExportFailed)->IncrementBy(1);

  constexpr char bridge_subcomponent[] =
      "TFXLA_TF_FUNCTIONAL_TO_EXECUTOR_EXPORT_v1";
  constexpr char kBridgeComponent[] = "TFXLABridge";

  tsl::OkOrSetErrorCounterPayload(

 *
 * @author Gregory Kick
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
abstract class RegularImmutableTable<R, C, V> extends ImmutableTable<R, C, V> {
  RegularImmutableTable() {}

  abstract Cell<R, C, V> getCell(int iterationIndex);

  @Override
  final ImmutableSet<Cell<R, C, V>> createCellSet() {
    return isEmpty() ? ImmutableSet.<Cell<R, C, V>>of() : new CellSet();
  }

  @WeakOuter

    LOG_FIRST_N(INFO, 1) << "Skipping Graph Decomposition Pass, decomposition"
                            " library was not found";
    return absl::OkStatus();
  }

  tf_core_op_expansion_graph_counter->GetCell()->IncrementBy(1);

  LOG_FIRST_N(INFO, 1) << "Run Graph Decomposition Passes";

  TF_RETURN_IF_ERROR(DecomposeGraph(module));

  LOG_FIRST_N(INFO, 1) << "Finish Graph Decomposition Passes";

                    host != null && host.length() == 0 ) {
            spec = "//" + spec;
            limit += 2;
        }
        super.parseURL( u, spec, start, limit );
        path = u.getPath();
        ref = u.getRef();
        if (ref != null) {
            path += '#' + ref;
        }
        port = u.getPort();
        if( port == -1 ) {
            port = getDefaultPort();
        }

            spec = "//" + spec;
            limit += 2;
        }
        super.parseURL(u, spec, start, limit);
        path = u.getPath();
        ref = u.getRef();
        if ( ref != null ) {
            path += '#' + ref;
        }
        port = u.getPort();
        if ( port == -1 ) {
            port = getDefaultPort();
        }