Switch RandoErasing back to on GPU normal sampling

timm/data/random_erasing.py

@@ -7,12 +7,10 @@ def _get_pixels(per_pixel, rand_color, patch_size, dtype=torch.float32, device='
     # NOTE I've seen CUDA illegal memory access errors being caused by the normal_()
     # paths, flip the order so normal is run on CPU if this becomes a problem
     # Issue has been fixed in master https://github.com/pytorch/pytorch/issues/19508
-    # will revert back to doing normal_() on GPU when it's in next release
     if per_pixel:
-        return torch.empty(
+        return torch.empty(patch_size, dtype=dtype, device=device).normal_()
-            patch_size, dtype=dtype).normal_().to(device=device)
     elif rand_color:
-        return torch.empty((patch_size[0], 1, 1), dtype=dtype).normal_().to(device=device)
+        return torch.empty((patch_size[0], 1, 1), dtype=dtype, device=device).normal_()
     else:
         return torch.zeros((patch_size[0], 1, 1), dtype=dtype, device=device)