namespace tensorflow {

namespace {

template <typename T>
void ExpectNodeEqual(const Node* n, gtl::ArraySlice<T> values,
                     TensorShape shape) {
  EXPECT_TRUE(n->IsConstant());
  Tensor tensor;
  TF_EXPECT_OK(GetNodeAttr(n->attrs(), "value", &tensor));
  DataType dtype;
  TF_EXPECT_OK(GetNodeAttr(n->attrs(), "dtype", &dtype));
  EXPECT_EQ(tensor.dtype(), dtype);

                                         /*AddNull=*/false);
  new llvm::GlobalVariable(
      *module, protobuf_array_initializer->getType(),
      /*isConstant=*/true, llvm::GlobalValue::ExternalLinkage,
      protobuf_array_initializer, AsStringRef(*protobuf_array_symbol_name));
}

static string CreateCPPShimExpression(
    absl::string_view qualified_cpp_protobuf_name,

  return total_elements < kSmallTensorThreshold;
}

// We only clone small constants since we want to avoid increasing memory
// pressure on GPUs.
absl::StatusOr<bool> IsSmallConstant(Node* n) {
  if (!n->IsConstant()) {
    return false;
  }

  return IsConstantSmall(n);
}

bool IsInPlaceOp(absl::string_view op_name) {
  return op_name == "InplaceUpdate" || op_name == "InplaceAdd" ||

  Output enter = ops::internal::Enter(
      root.WithOpName("enter"),
      ops::Placeholder(root.WithOpName("data"), DT_FLOAT), "frame_name",
      ops::internal::Enter::Attrs{}.IsConstant(true));
  EXPECT_THAT(enter.node(), NodeWith(Attr("is_constant", true)));
  EXPECT_EQ(Explain(enter.node(), NodeWith(Attr("is_constant", false))),
            "attribute named is_constant does not match value; expected: "