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								entry.py
									
									
									
									
									
								
							
							
						
						
									
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								entry.py
									
									
									
									
									
								
							@ -130,10 +130,14 @@ def denoiser(input, sigma, c):
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    return model.denoiser(model.model, input, sigma, c)
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					    return model.denoiser(model.model, input, sigma, c)
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					with torch.no_grad():
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    model.model.to(torch.float16).cuda()
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					    model.model.to(torch.float16).cuda()
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    model.denoiser.to(torch.float16).cuda()
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					    model.denoiser.to(torch.float16).cuda()
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    samples_z = sampler(denoiser, randn, cond=c, uc=uc)
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					    samples_z = sampler(denoiser, randn, cond=c, uc=uc)
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    model.model.cpu()
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					    model.model.cpu()
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    model.denoiser.cpu()
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					    model.denoiser.cpu()
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					torch.cuda.empty_cache()
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					torch.cuda.ipc_collect()
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a = 0
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					a = 0
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