HCCL_CONNECT_TIMEOUT=1800 # replace ${ANACONDA_DIR}/envs/${ENV_NAME}/bin/python to the actual python CMD="${ANACONDA_DIR}/envs/${ENV_NAME}/bin/python

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cd /home/ma-user/work/${YOLOX在SFS上的路径} # 安装环境并执行脚本 # /home/ma-user/anaconda3/envs/pytorch/bin/pip install -r requirements.txt && /bin/sh tools/run

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规避措施：修改dynamic_module_utils.py文件，将180-184行代码注释掉 vim /home/ma-user/anaconda3/envs/PyTorch-2.1.0/lib/python3.9/site-packages/transformers/dynamic_module_utils

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规避措施：修改dynamic_module_utils.py文件，将180-184行代码注释掉 vim /home/ma-user/anaconda3/envs/PyTorch-2.1.0/lib/python3.9/site-packages/transformers/dynamic_module_utils

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规避措施：修改dynamic_module_utils.py文件，将180-184行代码注释掉 vim /home/ma-user/anaconda3/envs/PyTorch-2.1.0/lib/python3.9/site-packages/transformers/dynamic_module_utils

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/home/ma-user/coco && cd /home/ma-user/work/code/YOLOX/ && /home/ma-user/anaconda3/envs/pytorch/bin/pip install -r requirements.txt && /bin/sh tools/run

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规避措施：修改dynamic_module_utils.py文件，将180-184行代码注释掉 vim /home/ma-user/anaconda3/envs/PyTorch-2.1.0/lib/python3.9/site-packages/transformers/dynamic_module_utils

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启动命令： cd /home/ma-user/work/code/Swin-Transformer && /home/ma-user/anaconda3/envs/pytorch/bin/pip install -r requirements.txt && /bin/sh run.sh

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echo ${VC_WORKER_HOSTS} | cut -d "," -f 1):6666 /home/ma-user/anaconda3/envs/pytorch/bin/python -u tools/train.py \

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IMAGE_DATA_PATH=$DIS_DATA_PATH/imagenet21k_whole MASTER_PORT="6061" /home/ma-user/anaconda3/envs/pytorch/bin/python -m torch.distributed.launch --nproc_per_node=1

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Interpreter：填写第一步复制的python路径，例如：/home/ma-user/anaconda3/envs/Pytorch-1.0.0/bin/python 如果路径为~/anaconda3/envs/Pytorch-1.0.0/bin/python，把~替换为/home/ma-user即可。

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复制华为侧代码包和插件 COPY --chown=ma-user:ma-group index-2519a27e.js /home/ma-user/anaconda3/envs/PyTorch-2.2.0/lib/python3.10/site-packages/gradio/templates

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/home/ma-user/anaconda3/envs/pytorch && \ tar -xzf pytorch.tar.gz -C /home/ma-user/anaconda3/envs/pytorch && \ source /home/ma-user/anaconda3/e

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version in "MindSpore" conda env by using pip. RUN source /home/ma-user/anaconda3/bin/activate MindSpore && \ pip install https://ms-release.obs

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train_instance_count=2, script_interpreter="/home/ma-user/anaconda3/envs/PyTorch-1.4/bin/python", log_url=base_bucket_path

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ser/anaconda3/envs/PyTorch-2.1.0/lib/python3.9/site-packages/diffusers为例，执行以下命令进行替换： cp attention_processor.py /home/ma-user/anaconda3/envs/PyTorch-2

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打开Notebook，打开Terminal，进入步骤7中挂载的目录。 cd /data/demo 执行训练命令： /home/ma-user/anaconda3/envs/pytorch/bin/python main.py -a resnet50 -b 128 --epochs 5 dog_cat_1w/

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HCCL_CONNECT_TIMEOUT=1800 # replace ${ANACONDA_DIR}/envs/${ENV_NAME}/bin/python to the actual python CMD="${ANACONDA_DIR}/envs/${ENV_NAME}/bin/python

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'/home/ma-user/anaconda/lib/python3.8/site-packages/model_service' to '/home/ma-user/infer/model_service'. USER root RUN ln -s /home/ma-user/anaconda/lib/python3

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练作业相同，例如： 系统将会自动注入一系列环境变量 PATH=${MA_HOME}/anaconda/bin:${PATH} LD_LIBRARY_PATH=${MA_HOME}/anaconda/lib:${LD_LIBRARY_PATH} PYTHONPATH=${MA_JO

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回显类似如下信息： [root@ecs-lvmtest ~]# vi /etc/fstab # # /etc/fstab # Created by anaconda on Tue Nov 7 14:28:26 2017 # # Accessible filesystems, by reference

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