[dpn92] [Ascend910] [GRAPH] Unable to reproduce precision - Githubissues

mindspore-lab / mindcv

A toolbox of vision models and algorithms based on MindSpore

https://mindspore-lab.github.io/mindcv/

Apache License 2.0

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[dpn92] [Ascend910] [GRAPH] Unable to reproduce precision #727

Closed 787918582 closed 1 month ago

787918582 commented 1 year ago

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Describe the bug/ 问题描述 (Mandatory / 必填) dpn92精度为0.1%

Hardware Environment(Ascend/GPU/CPU) / 硬件环境:

Please delete the backend not involved / 请删除不涉及的后端: /device ascend
Software Environment / 软件环境 (Mandatory / 必填): -- MindSpore version (e.g., 1.7.0.Bxxx) :mindspore_v2.0.0 mindcv_0.2.2 -- Python version (e.g., Python 3.7.5) :3.7.5 -- OS platform and distribution (e.g., Linux Ubuntu 16.04):EulerOS2.8 -- GCC/Compiler version (if compiled from source):7.3.0
Excute Mode / 执行模式 (Mandatory / 必填)(PyNative/Graph):

Please delete the mode not involved / 请删除不涉及的模式: /mode graph

To Reproduce / 重现步骤 (Mandatory / 必填) Steps to reproduce the behavior:

mpirun --allow-run-as-root -n 8 python train.py --config configs/dpn/dpn92_ascend.yaml --distribute True --data_dir /ImageNet_Origin/

Expected behavior / 预期结果 (Mandatory / 必填) 可复现readme精度

Screenshots/ 日志 / 截图 (Mandatory / 必填) readme精度： Model Top-1 (%) Top-5 (%) dpn92 79.46 94.49 The best validation Top_1_Accuracy is: 0.1000% at epoch 158.

Additional context / 备注 (Optional / 选填) Add any other context about the problem here.