type: DT_FLOAT
    }
  }
  attr {
    key: "shape"
    value {
      shape {
        dim {
          size: 10
        }
      }
    }
  }
}
node {
  name: "MlirPassthroughOp"
  op: "MlirPassthroughOp"
  input: "x"
  input: "y"
  attr {
    key: "Tinputs"
    value {
      list {
        type: DT_FLOAT
        type: DT_FLOAT
      }
    }
  }
  attr {
    key: "Toutputs"

    : public impl::MaterializePassthroughOpBase<MaterializePassthroughOpPass> {
 public:
  void runOnOperation() override;
};

void MaterializePassthroughOpPass::runOnOperation() {
  getOperation().walk([](TF::MlirPassthroughOp op) {
    std::string module_string(op.getMlirModule());
    // Parse the module.
    auto nested_module =
        parseSourceString<ModuleOp>(module_string, op.getContext());
    if (!nested_module) {

// Transforms region bases control flow operations in the TensorFlow dialect to
// their functional counterparts.
std::unique_ptr<OperationPass<ModuleOp>>
CreateTFRegionControlFlowToFunctional();

// Materialize the MlirPassthroughOp by replacing it with the MLIR module
// attached as an attribute.
std::unique_ptr<OperationPass<func::FuncOp>>
CreateMaterializePassthroughOpPass();

      return %2 : tensor<?xi32>
    ```
  }];
}

def MaterializePassthroughOp : Pass<"tf-materialize-passthrough-op", "mlir::func::FuncOp"> {
  let summary = "Materialize the MlirPassthroughOp by replacing it with the "
    "MLIR module attached as an attribute";
  let constructor = "TF::CreateMaterializePassthroughOpPass()";
  let description = [{

  return %0 : tensor<i32>
}
```
### `-tf-materialize-passthrough-op`

_Materialize the MlirPassthroughOp by replacing it with the MLIR module attached as an attribute_

A pass that replaces MlirPassthrough ops with the code they have in
their `mlir_module` string attribute.
### `-tf-merge-control-flow`

  }];

  let arguments = (ins);

  let results = (outs
    Res<TF_ResourceTensor, "", [TF_VariableAlloc]>:$resource
  );
}

def TF_MlirPassthroughOp : TF_Op<"MlirPassthroughOp", [Pure]> {
  let summary = [{
Wraps an arbitrary MLIR computation expressed as a module with a main() function.
  }];

  let description = [{