exportPYTORCH_CUDA_ALLOC_CONF="max_split_size_mb:128;garbage_interval:5" 1. 代码实现 在Python 中,使用 PyTorch 进行深度学习训练时,可以简单地调用: importosimporttorch# 设置 PYTORCH_CUDA_ALLOC_CONF 环境变量os.environ["PYTORCH_CUDA_ALLOC_CONF"]="max_split_size_mb:128;garbage_interval:5"# 检查...
PythonScriptTerminalUserPythonScriptTerminalUser打开终端或命令行终端已打开设置 PYTORCH_CUDA_ALLOC_CONF环境变量已设置运行测试代码验证设置成功 结尾 通过以上步骤,你已经成功设置了PYTORCH_CUDA_ALLOC_CONF的默认值。这将有助于优化内存使用,提高你的 PyTorch 应用的性能。如果在任何步骤中遇到问题,建议查阅 PyTorch 官...
Problem The sign "=" is not supported in Windows environment variables. Thus, PYTORCH_CUDA_ALLOC_CONF=expandable_segments cannot be used on that platform. Solution Could you please either give me an alternative route I might have overloo...
does not support them, if you need to enable them, please do not use transfer_to_npu. warnings.warn(msg, RuntimeWarning) [W compiler_depend.ts:623] Warning: expandable_segments currently defaults to false. You can enable this feature by `export PYTORCH_NPU_ALLOC_CONF = expandable...
memory in use. Of the allocated memory 20.40 GiB is allocated by PyTorch, and 2.72 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF ...
请参阅内存管理和PYTORCH_CUDA_ALLOC_CONF 的文档 分享3910 pocketmirror吧 游游档 使用工具对内部文件修改进行翻译的步骤其实我开这个翻译工作还是算个有点心血来潮的想法……但既然大家都有想法那就弄得正式一点吧。 1.首 +1 59811 克苏鲁神话吧 无形的吹奏者 【无节操搬运】怪老头 译:Setarium 著:爱手艺1L...
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