mirror of
https://github.com/vladmandic/automatic
synced 2026-09-07 13:30:46 +02:00
Cleanup
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+4
-4
@@ -189,6 +189,10 @@ if backend == 'ipex':
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CondFunc('torch.linalg.solve',
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lambda orig_func, *args, **kwargs: orig_func(args[0].to("cpu"), args[1].to("cpu")).to(get_cuda_device_string()),
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lambda *args, **kwargs: args[1].device != torch.device("cpu"))
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#SDE Samplers:
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CondFunc('torchsde._brownian.brownian_interval._randn',
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lambda _, size, dtype, device, seed: torch.randn(size, dtype=dtype, device=device, generator=torch.xpu.Generator(device).manual_seed(int(seed))),
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lambda _, size, dtype, device, seed: device != torch.device("cpu"))
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#ControlNet:
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CondFunc('torch.batch_norm',
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lambda orig_func, *args, **kwargs: orig_func(args[0].to("cpu"),
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@@ -206,10 +210,6 @@ if backend == 'ipex':
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args[4].to("cpu") if args[4] is not None else args[4],
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args[5], args[6], args[7], args[8]).to(get_cuda_device_string()),
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lambda *args, **kwargs: args[1].device != torch.device("cpu"))
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#SDE Samplers
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CondFunc('torchsde._brownian.brownian_interval._randn',
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lambda _, size, dtype, device, seed: torch.randn(size, dtype=dtype, device=device, generator=torch.xpu.Generator(device).manual_seed(int(seed))),
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lambda _, size, dtype, device, seed: device != torch.device("cpu"))
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cpu = torch.device("cpu")
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device = device_interrogate = device_gfpgan = device_esrgan = device_codeformer = None
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