const int input_idx = 0;
  EXPECT_THAT(subgraph->tensors[input_idx]->type, Eq(TensorType_INT8));
  EXPECT_THAT(subgraph->tensors[input_idx]->name, Eq("input"));
  EXPECT_THAT(subgraph->tensors[input_idx]->quantization->scale, SizeIs(1));
  EXPECT_THAT(subgraph->tensors[input_idx]->quantization->zero_point,
              SizeIs(1));
  EXPECT_THAT(subgraph->tensors[input_idx]->quantization->scale[0],

  if (auto* opts = options.AsCallOnceOptions()) {
    uint32_t init_idx = opts->init_subgraph_index;
    if (init_idx >= func_names.size()) {
      return errors::InvalidArgument("subgraph with index not found: ",
                                     init_idx);
    }
    auto init_attr = builder.getStringAttr(func_names.at(init_idx));

    return llvm::SmallVector<mlir::NamedAttribute, 4>{

  int num_inputs = TFE_OpGetFlatInputCount(other, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  for (int input_index = 0; input_index < num_inputs; ++input_index) {
    TFE_TensorHandle* input = TFE_OpGetFlatInput(other, input_index, status);
    CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    TFE_OpAddInput(ret, input, status);