51CTO博客已为您找到关于set PYTORCH_CUDA_ALLOC_CONF 默认值的相关内容,包含IT学习相关文档代码介绍、相关教程视频课程,以及set PYTORCH_CUDA_ALLOC_CONF 默认值问答内容。更多set PYTORCH_CUDA_ALLOC_CONF 默认值相关解答可以来51CTO博客参与分享和学习,帮助广大IT技术人
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...
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...
set PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:64 1. 注意:这个配置设置了单个内存分配请求的最大大小。你可以根据自己的情况调整这个值。 步骤4: 验证设置是否成功 你可以通过运行以下 Python 代码来验证环境变量是否设置成功: importosprint(os.environ.get("PYTORCH_CUDA_ALLOC_CONF"))# 输出应该是你之前设...