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Trainer.load can use GPU's other than cuda:0

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Ryan Burgert
2022-09-04 22:11:35 -04:00
parent 6dda508ff6
commit 7c0cd05c27
1 changed files with 4 additions and 1 deletions
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denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
+4 -1
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@@ -810,7 +810,10 @@ class Trainer(object):
torch.save(data, str(self.results_folder / f'model-{milestone}.pt'))
def load(self, milestone):
data = torch.load(str(self.results_folder / f'model-{milestone}.pt'))
accelerator = self.accelerator
device = accelerator.device
data = torch.load(str(self.results_folder / f'model-{milestone}.pt'), map_location=device)
model = self.accelerator.unwrap_model(self.model)
model.load_state_dict(data['model'])