"        value {"
         "          type: DT_FLOAT"
         "        }"
         "      }"
         "    }"
         "    node_def {"
         "      name: 'identity'"
         "      op: 'Identity'"
         "      input: 'add:z:0'"
         "      device: '/job:localhost/task:0/device:CPU:0'"
         "      attr {"
         "        key: 'T'"
         "        value {"

  TFE_TensorHandle* identity_ret[] = {nullptr, nullptr};
  num_retvals = 2;
  TFE_Execute(cloned_identity, identity_ret, &num_retvals, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TFE_DeleteTensorHandle(input1);
  TFE_DeleteTensorHandle(input2);
  TFE_DeleteTensorHandle(identity_ret[0]);
  TFE_DeleteTensorHandle(identity_ret[1]);

  TFE_DeleteOp(cloned_identity);

    TFE_DeleteExecutor(executor);
    TFE_DeleteContext(ctx);
  }
  TF_DeleteStatus(status);
}

TEST(CAPI, Function_ident_CPU) {
  // First create a simple identity function.
  TF_Graph* function_graph = TF_NewGraph();
  TF_OperationDescription* arg_descr =
      TF_NewOperation(function_graph, "Placeholder", "arg");
  TF_SetAttrType(arg_descr, "dtype", TF_INT32);

  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

  std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> reused_op(
      TFE_NewOp(context.get(), "Identity", status.get()), TFE_DeleteOp);
  TFE_OpReset(reused_op.get(), "Identity", custom_device_name, status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  ASSERT_EQ(tensorflow::string(TFE_OpGetDevice(reused_op.get(), status.get())),

                       AbstractTensorHandle** output, const char* name) {
  auto dtype = input->DataType();
  if (DataTypeIsFloating(BaseType(dtype)) ||
      DataTypeIsInteger(BaseType(dtype))) {
    return tensorflow::ops::Identity(ctx, input, output, name);
  } else if (!DataTypeIsComplex(BaseType(dtype)) &&
             BaseType(dtype) != DT_VARIANT) {
    return errors::InvalidArgument(
        "Expected numeric or variant tensor, got dtype ", dtype);

  int assign = TF_OpIsStateful("AssignAddVariableOp", status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  EXPECT_EQ(assign, 1);
  int id = TF_OpIsStateful("Identity", status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  EXPECT_EQ(id, 0);
}

class ShapeInferenceTest : public ::testing::Test {
 protected:
  ShapeInferenceTest()

  TFE_OpSetAttrType(op, "T", TFE_TensorHandleDataType(a));

  return op;
}

TFE_Op* IdentityOp(TFE_Context* ctx, TFE_TensorHandle* a) {
  TF_Status* status = TF_NewStatus();

  TFE_Op* op = TFE_NewOp(ctx, "Identity", status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, a, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);

  VerifyFDef({"neg"}, {{"negation_0", DT_INT32}}, {{"negation", DT_INT32}},
             {{"negation_0", "neg:0"}, {"neg:y:0", "negation"}}, {});
}

TEST_F(CApiFunctionTest, ZeroOps_Identity) {
  /*
   *                   |
   *                   |
   *                   |
   *                   v
   */
  // Define
  TF_Operation* feed = Placeholder(func_graph_, s_);