)

    # Tests table lookup to make sure the table has been initialized
    # successfully.
    with session.Session(graph=ops.Graph()) as sess:
      output_meta_graph_def = saved_model_loader.load(
          sess, tags=tags, export_dir=self._output_saved_model_path
      )

      # The graph should contain a quantized function call (it contains a
      # single f32 matmul node).
      self.assertTrue(

        tf_executor.fetch %arg0, %arg1, %add_out, %mul_out, %chain_0_sink, %chain_1_sink : !tf_res, !tf_res, tensor<f32>, tensor<f32>, tensor<i32>, tensor<i32>
      }
      return %graph#0, %graph#1, %graph#2, %graph#3, %graph#4, %graph#5 : !tf_res, !tf_res, tensor<f32>, tensor<f32>, tensor<i32>, tensor<i32>
    }
    ```
  }];

  let constructor = "tf_executor::CreateTFExecutorConvertControlToDataOutputsPass()";

//
// The -go flag causes graph to report the module graph as loaded by the
// given Go version, instead of the version indicated by the 'go' directive
// in the go.mod file.
//
// The -x flag causes graph to print the commands graph executes.
//
// See https://golang.org/ref/mod#go-mod-graph for more about 'go mod graph'.
//
// # Initialize new module in current directory
//

    auto component_ty = RankedTensorType::get({1}, element_ty);
    return DenseElementsAttr::get(component_ty, {dim_value});
  }

  if (auto graph = dyn_cast<tf_executor::GraphOp>(op)) {
    if (port.size() == 1)
      return ComputeOutputComponent(
          ValuePort(graph.GetFetch().getFetches()[port[0]]), values);
    return nullptr;
  }

  if (auto island = dyn_cast<tf_executor::IslandOp>(op)) {

var preloadWorkerCount = runtime.GOMAXPROCS(0)

// preload holds state for managing concurrent preloading of package data.
//
// A preload should be created with newPreload before loading a large
// package graph. flush must be called when package loading is complete
// to ensure preload goroutines are no longer active. This is necessary
// because of global mutable state that cannot safely be read and written