ERROR: No matching distribution found for blobfile>=1.0.5

[DennisFaucher]

Awesome repo. Thank you. Ran in Google Colab with no issue. Figured I would try running locally on my NVIDIA Jetson Xavier SBC. Got all dependencies to work except guided diffusion. Any ideas? TIA.

Obtaining file:///media/dennis/64GB_SD_EXT4/AI_Art/guided-diffusion
Preparing metadata (setup.py) ... done
ERROR: Could not find a version that satisfies the requirement blobfile>=1.0.5 (from guided-diffusion) (from versions: 0.1, 0.2.0, 0.2.1, 0.2.2, 0.2.3, 0.3.0, 0.3.1, 0.3.2, 0.3.3, 0.4.0, 0.4.1, 0.4.2, 0.4.3, 0.4.4, 0.4.5, 0.5.0, 0.6.1, 0.7.0, 0.8.0, 0.8.1, 0.9.0, 0.10.0, 0.10.1, 0.10.2, 0.11.0)
ERROR: No matching distribution found for blobfile>=1.0.5

[DennisFaucher]

[Edit] Looks like the Xavier does not have blob>=1.0.5. Latest is 0.16. I'll try with that.

[DennisFaucher]

Closer. I might need to update torchvision

/usr/local/lib/python3.6/dist-packages/torchvision-0.7.0a0+78ed10c-py3.6-linux-aarch64.egg/torchvision/transforms/functional.py in normalize(tensor, mean, std, inplace)
282 if tensor.ndimension() != 3:
283 raise ValueError('Expected tensor to be a tensor image of size (C, H, W). Got tensor.size() = '
--> 284 '{}.'.format(tensor.size()))
285
286 if not inplace:

ValueError: Expected tensor to be a tensor image of size (C, H, W). Got tensor.size() = torch.Size([16, 3, 224, 224]).

[DennisFaucher]

OMG it is running on the Xavier CUDA GPU! This is so exciting. Using torchvision 0.9