auto y = FusedBatchNormV3(scope_, x, scale, offset, mean, var, attrs);
  RunTest({x, scale, offset}, {shape, scale_shape, scale_shape}, {y.y},
          {shape});
}

INSTANTIATE_TEST_SUITE_P(
    FusedBatchNormGrad, FusedBatchNormGradTest,
    ::testing::Combine(::testing::Bool(), ::testing::Bool(),
                       ::testing::Values(TensorShape({2, 3, 4, 5}),

  grad_outputs->push_back(dx);
  return scope.status();
}
REGISTER_GRADIENT_OP("FractionalMaxPool", FractionalMaxPoolGradHelper);

// Templated constructor for FusedBatchNormGrad[..]::Attrs.
template <typename T>
T FusedBatchNormGradAttrs(float epsilon, StringPiece data_format,
                          bool is_training) {
  T result;
  result.epsilon_ = epsilon;