colomi
0eb61f3e60
包含： - hair_service_sd: 换发型/换发色算法服务 (端口 8801) - photo_service: LoRA 训练调度服务 (端口 32678) - stable-diffusion-webui: SD WebUI 推理服务 (端口 57860) - kohya_ss_home: 训练环境代码 - meidaojia: 监控测试脚本 - setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查) - start_all_services.sh: 启动3个服务 - configure.ini.template: 路径模板化 (BASE_DIR自动推导) - conda_envs/py310.yml: py310 环境定义 大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除， 由网盘单独上传。
28 lines
694 B
Python
28 lines
694 B
Python
import pynvml
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threshold = 0.9
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def get_gpu(need_gpu_id):
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used = get_gpu_threshold(need_gpu_id)
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#小于一定的
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if used > threshold:
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need_use = get_use_gpu()
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return need_use[0]
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else:
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return need_gpu_id
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def get_use_gpu():
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use=[]
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for index in range(pynvml.nvmlDeviceGetCount()):
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used = get_gpu_threshold(index)
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if used > threshold:
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use.append(index)
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return use
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def get_gpu_count():
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return pynvml.nvmlDeviceGetCount()
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def get_gpu_threshold(index):
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handle = pynvml.nvmlDeviceGetHandleByIndex(index)
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meminfo = pynvml.nvmlDeviceGetMemoryInfo(handle)
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used = meminfo.used / meminfo.total
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return used
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