// Check that we have call node.
    Node *fn_node = node_name_index["fn"];
    EXPECT_NE(fn_node, nullptr);
    EXPECT_EQ(fn_node->type_string(), "fn_oc");

    std::unique_ptr<FunctionBody> call_fbody;
    TF_CHECK_OK(FunctionDefToBodyHelper(*fld.Find("fn_oc"), AttrSlice(), &fld,
                                        &call_fbody));

    // Verify we have XlaHostCompute nodes.
    bool has_hc = false;

    }

    AbstractOperationPtr fn_op(ctx->CreateOperation());
    TF_RETURN_IF_ERROR(fn_op->Reset(fn_name, /*raw_device_name=*/nullptr));
    for (auto input : inputs) {
      TF_RETURN_IF_ERROR(fn_op->AddInput(input));
    }
    int retvals = outputs.size() - null_indices.size();
    std::vector<AbstractTensorHandle*> fn_outputs(retvals);
    TF_RETURN_IF_ERROR(fn_op->Execute(

  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  // Build the abstract op to run the function.
  TF_AbstractOp* fn_op = TF_NewAbstractOp(eager_execution_ctx);
  TF_AbstractOpSetOpType(fn_op, fn_name.c_str(), status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  // Build an abstract input tensor.
  TFE_Context* eager_ctx =

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