wenquanlu
commented
1 month ago Hi, thanks for your contribution, the code seems great, have you tested running the program on mac m1? is there any log that can confirm this would work, coz I personally don't have the device to test it
Thanks again
File "/Users/doheyonkim/Depot/stable-diffusion-webui/venv/lib/python3.10/site-packages/mesh_graphormer/modeling/_mano.py", line 124, in
self._U = [u.to(device) for u in self._U]
NotImplementedError: Could not run 'aten::empty.memory_format' with arguments from the 'SparseMPS' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::empty.memory_format' is only available for these backends: [CPU, MPS, Meta, QuantizedCPU, QuantizedMeta, MkldnnCPU, SparseCPU, SparseMeta, SparseCsrCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMTIA, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradMeta, AutogradNestedTensor, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher].
CPU: registered at /Users/runner/work/pytorch/pytorch/pytorch/build/aten/src/ATen/RegisterCPU.cpp:31188 [kernel]
Fixed an issue where hand refine did not work on Mac M1 when using it as a plugin in the Stable Diffusion Web UI.