stdio159

### Branch main branch (mmpretrain version) ### Describe the bug (openmmlab) PS D:\Users\Administrator\Downloads\mmpretrain-main (1)\mmpretrain-main> python tools/analysis_tools/confusion_matrix.py configs/resnet/resnet50_8xb16_cifar10.py https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_b16x8_cifar10_20210528-f54bfad9.pth --show 10/09 11:44:15 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform:...

修改过的yolov5s模型如何使用paddleslim

4

请问修改过的yolov5s模型导出了onnx模型之后如何使用paddleslim，我这边会报错，自动化压缩工具ACT（Auto Compression Toolkit） Fail to generate inference model! Problem happend while export inference model from python code 'D:\pro\PaddleSlim-develop\best_infer\onnx2paddle_0\x2paddle_code.py'; ===================Error Information=============== 2023-04-02 21:17:13,787-WARNING: In transformed code: File "D:\pro\PaddleSlim-develop\./best_infer\onnx2paddle_0\x2paddle_code.py", line 677, in...

How to train a new model on the imagenet dataset？

自动参数优化模块和可视化模块暂不开源，等毕业后再说

2

大佬，请问您现在方便开源 自动参数优化模块和可视化模块 吗？非常感谢

RuntimeErrorRuntimeError: CUDA error: invalid device ordinal Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. : CUDA error: invalid device ordinal Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

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RuntimeErrorRuntimeError: CUDA error: invalid device ordinal Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. : CUDA error: invalid device ordinal Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.