"//tensorflow/core/platform:status",
        "@com_google_absl//absl/container:flat_hash_set",
    ],
)

tf_cuda_cc_test(
    name = "gradients_test",
    size = "small",
    srcs = [
        "gradients_test.cc",
    ],
    args = ["--heap_check="],
    tags = tf_cuda_tests_tags() + ["nomac"],
    deps = [
        ":abstract_context",
        ":abstract_tensor_handle",

-     __extension__ __STRING2_SMALL_GET32 (src, 0),			      \
-     __extension__ __STRING2_SMALL_GET32 (src, 4)
-#  endif
-__STRING_INLINE char *__strcpy_small (char *, __uint16_t, __uint16_t,
-				      __uint32_t, __uint32_t, size_t);
 __STRING_INLINE char *
 __strcpy_small (char *__dest,
 		__uint16_t __src0_2, __uint16_t __src4_2,
@@ -482,42 +257,6 @@ __strcpy_small (char *__dest,
   return __dest;

      std::move(maybe_typed_outputs.value()));

  if (typed_outputs.size() > *num_outputs) {
    TF_SetStatus(status, TF_INTERNAL,
                 "The allocated output buffer was too small.");
    return;
  }

  for (int i = 0; i < typed_outputs.size(); ++i) {
    MaybeParallelTensorOwned typed_output(std::move(typed_outputs[i]));
    if (absl::holds_alternative<TensorHandlePtr>(typed_output)) {