Describe the bug/ 问题描述 (Mandatory / 必填)
edgenext_xx_small精度劣化
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
If this is your first time, please read our contributor guidelines: https://github.com/mindspore-lab/mindcv/blob/main/CONTRIBUTING.md
Describe the bug/ 问题描述 (Mandatory / 必填) edgenext_xx_small精度劣化
Hardware Environment(
Ascend
/GPU
/CPU
) / 硬件环境: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
):To Reproduce / 重现步骤 (Mandatory / 必填) Steps to reproduce the behavior:
Expected behavior / 预期结果 (Mandatory / 必填) 跑出达标精度
Screenshots/ 日志 / 截图 (Mandatory / 必填) readme精度: Model Top-1 (%) Top-5 (%)
edgenext_xx_small 71.02 89.99
实测精度:The best validation Top_1_Accuracy is: 57.7440% at epoch 347.
Additional context / 备注 (Optional / 选填) Add any other context about the problem here.