if user_input == 'y':
      print(yes_reply)
      var = True
    elif user_input == 'n':
      print(no_reply)
      var = False
    elif not user_input:
      if enabled_by_default:
        print(yes_reply)
        var = True
      else:
        print(no_reply)
        var = False
    else:
      print('Invalid selection: {}'.format(user_input_origin))
  return var

-#    define __mempcpy(dest, src, n) __builtin_mempcpy (dest, src, n)
-#   elif __GNUC_PREREQ (3, 0)
-#    define __mempcpy(dest, src, n) \
-  (__extension__ (__builtin_constant_p (src) && __builtin_constant_p (n)      \
-		  && __string2_1bptr_p (src) && n <= 8			      \
-		  ? __builtin_memcpy (dest, src, n) + (n)		      \
-		  : __mempcpy (dest, src, n)))
-#   else
-#    define __mempcpy(dest, src, n) \

      offset += static_cast<uint64_t>(r);
      n -= r;  // safe as 0 < r <= n so n will never underflow
      read += r;
    } else if (r == 0) {
      TF_SetStatus(status, TF_OUT_OF_RANGE, "Read fewer bytes than requested");
      break;
    } else if (errno == EINTR || errno == EAGAIN) {
      // Retry
    } else {
      TF_SetStatusFromIOError(status, errno, posix_file->filename);
      break;
    }
  }

  return read;
}

            zero_indices.push_back(i);
          }
        }
      } else {
        any_gradient_nonzero = true;
        Gradient* new_gradients = nullptr;
        if (grad_it->second.size() == 1) {
          new_gradients = grad_it->second.at(0);
        } else {
          new_gradients = vspace.AggregateGradients(grad_it->second);
        }

# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache"
else
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache"

    if (it != loaded_libs->end()) {
      lib_handle->lib_handle = it->second;
    } else {
      status->status =
          env->LoadDynamicLibrary(library_filename, &lib_handle->lib_handle);
      if (status->status.ok()) {
        TF_CHECK_OK(
            tensorflow::RegisterPluggableDevicePlugin(lib_handle->lib_handle));
      } else {
        delete lib_handle;
        return nullptr;
      }
    }

}

# Is this still useful?
@test "TensorFlow has Keras" {
    source /tf/venv/bin/activate
    python3 -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'

    assignees = apple_silicon_assignees;
  if (lowercased_title.includes('tf-trt') && domain.includes('nvidia.com')) {
    assignees.push(
        'DEKHTIARJonathan', 'meena-at-work', 'nluehr', 'pjannaty', 'poulsbo');
  } else if (
      lowercased_title.includes('nvidia') && domain.includes('nvidia.com')) {
    if (lowercased_title.includes('jax')) {
      assignees.push('hawkinsp', 'yashk2810', 'skye');
    }

         TF_TensorByteSize(analytical_tensor));

  for (int64_t j = 0; j < num_elem_analytical; j++) {
    if (abs_error == 0) {
      ASSERT_EQ(manuals[j], danalytical[j]);
    } else {
      ASSERT_NEAR(manuals[j], danalytical[j], abs_error);
    }
  }

  TF_DeleteTensor(analytical_tensor);
  delete[] danalytical;
}

Model BuildGradModel(Model forward, GradientRegistry registry) {

    UnifiedCAPI, CppGradients,
    ::testing::Combine(::testing::Values("graphdef", "mlir"),
                       /*tfrt*/ ::testing::Values(false),
                       /*use_function*/ ::testing::Values(true, false)));
#else
INSTANTIATE_TEST_SUITE_P(
    UnifiedCAPI, CppGradients,
    ::testing::Combine(::testing::Values("graphdef", "mlir"),
                       /*tfrt*/ ::testing::Values(false),