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wangxingrui
c7ece9967f
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2 months ago | |
|---|---|---|
| davinci | 2 months ago | |
| pcl_init | 2 months ago | |
| .DS_Store | 2 months ago | |
| README.MD | 2 months ago | |
| cell_wrapper.py | 2 months ago | |
| img.png | 2 months ago | |
| main.py | 2 months ago | |
| mindspore-verification.py | 2 months ago | |
| rank_table_2pcs.json | 2 months ago | |
| rank_table_8pcs.json | 2 months ago | |
| rank_table_16pcs.json | 2 months ago | |
| resnet.py | 2 months ago | |
| resnet50_distributed_training.py | 2 months ago | |
| resnet50_distributed_training_1.py | 2 months ago | |
| resnet50_distributed_training_dataset_slice.py | 2 months ago | |
| resnet50_distributed_training_gpu.py | 2 months ago | |
| resnet50_distributed_training_pipeline.py | 2 months ago | |
| run.sh | 2 months ago | |
| run_cluster.sh | 2 months ago | |
| run_dataset_slice.sh | 2 months ago | |
| run_gpu.sh | 2 months ago | |
| train.py | 2 months ago | |
README.MD
说明
这个是怎么在云脑二上跑起来的呢
直接跑跑不了，找了陈老师，给了达芬奇脚本不能用，自己在网上找了一个脚本，改成了pcl_init。
1、用的数据是cifar-10
2、镜像yigousuanli/train-mindspore-1.7.0:mindspore_1.7.0-cann_5.1.0-py_3.7-euler_2.8.3-aarch64-d910
3、使用pcl-demo/distributed-training-mindspore/pcl_init/run.py运行
pcl-demo/distributed-training-mindspore/resnet50_distributed_training.py
# 启动命令
export PCL_TASK_HOSTS=${VC_WORKER_HOSTS};export PCL_TASK_NUM=${VC_WORKER_NUM};export PCL_TASK_INDEX=${VC_TASK_INDEX};python /code/mindspore_distributed_training/pcl_init/run.py python /code/mindspore_distributed_training/resnet50_distributed_training.py --data_url=/data/distributed-cloud2-zhujian/cifar-10 --train_url=/output ; echo 1
这样就应该跑起来了
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