🎨 Optimize Cuda attribute configuration

import torch

# 检测是否包含 ZLUDA 标记

def zluda_available(device_name):

    return "[ZLUDA]" in device_name

# 关闭 ZLUDA Cudnn 支持 防止错误

def enable_zluda_config():

    if hasattr(torch, 'cuda') and torch.cuda.is_available():

        if zluda_available(device_name):

            torch.backends.cudnn.enabled = False

            cuda_attr = torch.backends.cuda

            if hasattr(cuda_attr, 'enable_flash_sdp'):

                torch.backends.cuda.enable_flash_sdp(False)

                print('Cuda enable flash sdp: ', False)

            if hasattr(cuda_attr, 'enable_math_sdp'):

                torch.backends.cuda.enable_math_sdp(True)

                print('Cuda enable math sdp: ', True)

            if hasattr(cuda_attr, 'enable_mem_efficient_sdp'):

                torch.backends.cuda.enable_mem_efficient_sdp(False)

                print('Cuda enable mem efficient sdp: ', False)

            if hasattr(cuda_attr, 'enable_cudnn_sdp'):

                torch.backends.cuda.enable_cudnn_sdp(False)

                print('Cuda enable cudnn sdp: ', False)