Comments (4)
torridgristle
commented on June 7, 2024
It looks like Lucent already has code to replace image = torch.irfft(scaled_spectrum_t, 2, normalized=True, signal_sizes=(h, w)) for PyTorch 1.8 using image = torch.fft.irfftn(scaled_spectrum_t, s=(h, w), norm='ortho')
greentfrapp/lucent@3191907
Hope it's as simple as copying over the few lines of code.
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eps696
commented on June 7, 2024
thanks, will look into that.
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eps696
commented on June 7, 2024
Unfortunately, current CLIP repo requires PyTorch==1.7.1. Until OpenAI updates it (if ever), there's no reason of enforcing 1.8.0.
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eps696
commented on June 7, 2024
closing for now, may be reopened when CLIP starts supporting pytorch 1.8.1.
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Related Issues (20)
- RuntimeError: CUDA out of memory. Tried to allocate 60.00 MiB (GPU 0; 6.00 GiB total capacity; 4.11 GiB already allocated; 34.82 MiB free; 4.42 GiB reserved in total by PyTorch) HOT 3
- Pytorch Import torch.irfft Update to torch.fft.irfft HOT 1
- Specify GPU HOT 2
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- Error HOT 2
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- integrate with Lightning ecosystem CI HOT 1
- Something changed since 04/19/2022 HOT 1
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- torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 58.00 MiB (GPU 0; 2.00 GiB total capacity; 1.58 GiB already allocated; 0 bytes free; 1.74 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF HOT 1
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