}
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_INT32
        tensor_shape {
        }
        int_val: 0
      }
    }
  }
}
node {
  name: "_tf.foo"
  op: "foo"
  input: "Constant"
}
library {
  function {
    signature {
      name: "foo"
      input_arg {
        name: "arg"
        type: DT_INT32
      }
      output_arg {

// Creates a pass to convert MLIR to Graph, run user-specified Graph
// Optimization Passes and convert back to MLIR.
// Constraints: This pass expects that all operations in the MLIR module either
// belong to 'tf' or '_tf' dialect. The output is in '_tf' dialect.
class GraphOptPass
    : public mlir::PassWrapper<GraphOptPass,
                               mlir::OperationPass<mlir::ModuleOp>> {