mindcv FAQ

[Ash-Lee233]

Here is a summary of common training and inference issues.

[ChongWei905]

Notice that if you are using mpirun startup with 2 devices, it's necessary to add --bind-to numa to avoid known performance error. For example:
mpirun --allow-run-as-root --merge-stderr-to-stdout --output-filename ./output_bind --bind-to numa -n 2 \ python train.py --distribute --model=densenet121 --dataset=imagenet --data_dir=/path/to/imagenet
For more information, please refer to https://www.mindspore.cn/tutorials/experts/en/r2.3.1/parallel/startup_method.html

注意，如果在两卡环境下选用mpirun作为启动方式，请添加配置项 --bind-to numa 增加绑核操作以规避两卡场景下的性能问题，范例代码如下：
mpirun --allow-run-as-root --merge-stderr-to-stdout --output-filename ./output_bind --bind-to numa -n 2 \ python train.py --distribute --model=densenet121 --dataset=imagenet --data_dir=/path/to/imagenet
如需更多操作指导，请参考 https://www.mindspore.cn/tutorials/experts/zh-CN/r2.3.1/parallel/startup_method.html