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$ python inference.py -i testdata/RealSet65 -o results/SinSR/RealSet65 --scale 4 --ckpt weights/SinSR_v1.pth --one_step
UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be removed in 0.17. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
warnings.warn(
[INFO] Using the inference step: 15
[INFO] Using the checkpoint weights/SinSR_v1.pth
Building the diffusion model with length: 15...
: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3526.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Loading Diffusion model from weights/SinSR_v1.pth...
Loading AutoEncoder model from weights/autoencoder_vq_f4.pth...
building MemoryEfficientAttnBlock with 512 in_channels...
Working with z of shape (1, 3, 64, 64) = 12288 dimensions.
building MemoryEfficientAttnBlock with 512 in_channels...
Find 65 images in testdata/RealSet65
Killed
请问Killed是怎么回事呀?
The text was updated successfully, but these errors were encountered:
$ python inference.py -i testdata/RealSet65 -o results/SinSR/RealSet65 --scale 4 --ckpt weights/SinSR_v1.pth --one_step
UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be removed in 0.17. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
warnings.warn(
[INFO] Using the inference step: 15
[INFO] Using the checkpoint weights/SinSR_v1.pth
Building the diffusion model with length: 15...
: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3526.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Loading Diffusion model from weights/SinSR_v1.pth...
Loading AutoEncoder model from weights/autoencoder_vq_f4.pth...
building MemoryEfficientAttnBlock with 512 in_channels...
Working with z of shape (1, 3, 64, 64) = 12288 dimensions.
building MemoryEfficientAttnBlock with 512 in_channels...
Find 65 images in testdata/RealSet65
Killed
请问Killed是怎么回事呀?
The text was updated successfully, but these errors were encountered: