         self.assertTrue(             gradcheck(                 fn,                 (input.F, input.tensor_stride, pool.stride, pool.kernel_size,                  pool.dilation, pool.region_type_, pool.region_offset_,                  input.coords_key, None, input.coords_man)))          if not torch.cuda.is_available():             return          