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fix: 🐛 Fix the torch.median() on apple gpu #94

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merged 1 commit into from
Jul 5, 2024
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fix: 🐛 Fix the torch.median() on apple gpu #94

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11 changes: 10 additions & 1 deletion lib_layerdiffusion/models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -299,7 +299,16 @@ def estimate_augmented(self, pixel, latent):
result += [eps]

result = torch.stack(result, dim=0)
median = torch.median(result, dim=0).values
if self.load_device == torch.device("mps"):
'''
In case that apple silicon devices would crash when calling torch.median() on tensors
in gpu vram with dimensions higher than 4, we move it to cpu, call torch.median()
and then move the result back to gpu.
'''
median = torch.median(result.cpu(), dim=0).values
median = median.to(device=self.load_device, dtype=self.dtype)
else:
median = torch.median(result, dim=0).values
return median

@torch.no_grad()
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