Hello, why is it displayed that unified cannot be recognized #2
Description
Using backend: pytorch
Process SpawnProcess-1:Traceback (most recent call last):File "/home/csarch/anaconda3/lib/python3.8/multiprocessing/process.py", line 315，in bootstrapself.run()
File "/home/csarch/anaconda3/lib/python3.8/multiprocessing/process.py", line 108, in runself. target(*self. args，**self. kwargs)File "/home/csarch/pytorch-direct/dgl/examples/pytorch/graphsage/train _sampling_pytorch direct.py", line 124, in producertrain nfeat = train nfeat.to(device="unified")RuntimeError: Expected one of cpu, cuda, xpu, mkldnn, opengl, opencl, ideep, hipmsnpu, mlc, xla, vulkan, meta, hpu device type at start of device string: unified
Activity
K-Wu commentedon Mar 29, 2023
Hello,
Could you please check if you have installed the modified PyTorch we provided as a submodule at https://github.com/K-Wu/pytorch-direct/tree/ec7bdb5389ed8c9724bf257267709e43bbb4325c? If you are not sure about that, please tell us what you see when you import PyTorch and print its version number in an interactive shell.
Thank you.
SC1114 commentedon Apr 3, 2023
K-Wu commentedon Apr 4, 2023
If you are talking about the DGL UVA optimization since v0.8 detailed here https://github.com/dmlc/dgl/releases/tag/0.8.0, you need to refer to the DGL documentation because that was implemented from scratch and was independent from the prototype we made available here. I personally didn't have a chance to use that.