mirror of
https://github.com/comfyanonymous/ComfyUI.git
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57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
# hide rocm and hip
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import os
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os.environ.pop("ROCM_HOME",None)
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os.environ.pop("HIP_HOME",None)
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os.environ.pop("ROCM_VERSION",None)
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paths=os.environ["PATH"].split(";")
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paths_no_rocm=[]
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for path_ in paths:
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if "rocm" not in path_.lower():
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paths_no_rocm.append(path_)
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os.environ["PATH"]=";".join(paths_no_rocm)
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# hide rocm and hip end
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# fix cublast errors for newer zluda versions "CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasLtMatmulAlgoGetHeuristic" , comment it out if you have a working hipblast setup.
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os.environ['DISABLE_ADDMM_CUDA_LT'] = '1'
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import torch
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#audio patch
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import torch._dynamo
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if torch.cuda.is_available() and torch.cuda.get_device_name().endswith("[ZLUDA]"):
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_torch_stft = torch.stft
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_torch_istft = torch.istft
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def z_stft(input: torch.Tensor, window: torch.Tensor, *args, **kwargs):
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return _torch_stft(input=input.cpu(), window=window.cpu(), *args, **kwargs).to(input.device)
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def z_istft(input: torch.Tensor, window: torch.Tensor, *args, **kwargs):
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return _torch_istft(input=input.cpu(), window=window.cpu(), *args, **kwargs).to(input.device)
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def z_jit(f, *_, **__):
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f.graph = torch._C.Graph()
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return f
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torch._dynamo.config.suppress_errors = True
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torch.stft = z_stft
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torch.istft = z_istft
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torch.jit.script = z_jit
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#audio patch end
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# zluda
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if torch.cuda.get_device_name().endswith("[ZLUDA]"):
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print(" ")
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print("***----------------------ZLUDA-----------------------------***")
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print(" :: ZLUDA detected, disabling non-supported functions. ")
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torch.backends.cudnn.enabled = False
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print(" :: CuDNN, flash_sdp, mem_efficient_sdp disabled). ")
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torch.backends.cuda.enable_flash_sdp(False)
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torch.backends.cuda.enable_math_sdp(True)
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torch.backends.cuda.enable_mem_efficient_sdp(False)
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print("***--------------------------------------------------------***")
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print(" :: Device : ", torch.cuda.get_device_name())
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print(" ")
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else:
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print(" :: ZLUDA isn't detected, please try patching it.")
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