Help on detailed package version configuration

[Infinity12306]

The install.md does not provide necessary packages' versions, for which some compatibility issues may occur. I just install the newest pytorch and get into the problem below when I try to run test.py in Motion_Deblurring on my own images. File "/ceph/home/chenjunqing/miniconda3/envs/pytorch181/lib/python3.7/site-packages/torchvision/models/quantization/mobilenetv2.py", line 6, in <module> from torch.ao.quantization import QuantStub, DeQuantStub ModuleNotFoundError: No module named 'torch.ao' I would appreciate it if anyone who can run the code successfully provides his/her conda environment configuration (or detailed package versions).

[Mytttttttt]

这是来自QQ邮箱的假期自动回复邮件。你好，我最近正在休假中，无法亲自回复你的邮件。我将在假期结束后，尽快给你回复。

[bnm6900030]

Python 3.8.10

torch.version '2.0.0+cu117' 我的环境可以正常运行他运动模糊实验的结果,pip list后是这样的输出: absl-py 1.4.0 addict 2.4.0 antlr4-python3-runtime 4.9.3 beautifulsoup4 4.12.2 blinker 1.6.2 cachetools 5.3.0 certifi 2022.12.7 charset-normalizer 3.1.0 click 8.1.3 cmake 3.26.1 contourpy 1.0.7 cycler 0.11.0 Cython 0.29.34 einops 0.6.0 fairscale 0.4.13 filelock 3.11.0 flash-attn 1.0.9 Flask 2.3.2 fonttools 4.39.3 future 0.18.3 gdown 4.7.1 google-auth 2.17.2 google-auth-oauthlib 1.0.0 grpcio 1.53.0 h5py 3.8.0 huggingface-hub 0.13.4 idna 3.4 imageio 2.27.0 importlib-metadata 6.3.0 importlib-resources 5.12.0 itsdangerous 2.1.2 Jinja2 3.1.2 joblib 1.2.0 kiwisolver 1.4.4 lazy_loader 0.2 lit 16.0.0 lmdb 1.4.1 lpips 0.1.4 Markdown 3.4.3 MarkupSafe 2.1.2 matplotlib 3.7.1 MinkowskiEngine 0.5.4 mpmath 1.3.0 natsort 8.3.1 natten 0.14.6+torch200cu117 networkx 3.1 ninja 1.11.1 numpy 1.24.2 nvidia-cublas-cu11 11.10.3.66 nvidia-cuda-cupti-cu11 11.7.101 nvidia-cuda-nvrtc-cu11 11.7.99 nvidia-cuda-runtime-cu11 11.7.99 nvidia-cudnn-cu11 8.5.0.96 nvidia-cufft-cu11 10.9.0.58 nvidia-curand-cu11 10.2.10.91 nvidia-cusolver-cu11 11.4.0.1 nvidia-cusparse-cu11 11.7.4.91 nvidia-nccl-cu11 2.14.3 nvidia-nvtx-cu11 11.7.91 oauthlib 3.2.2 omegaconf 2.3.0 opencv-python 4.7.0.72 packaging 23.0 Pillow 9.5.0 pip 23.2 protobuf 4.22.1 pyasn1 0.4.8 pyasn1-modules 0.2.8 pyparsing 3.0.9 PySocks 1.7.1 python-dateutil 2.8.2 PyWavelets 1.4.1 PyYAML 6.0 requests 2.28.2 requests-oauthlib 1.3.1 rsa 4.9 scikit-image 0.20.0 scikit-learn 1.2.2 scipy 1.9.1 setuptools 60.2.0 six 1.16.0 soupsieve 2.4 sympy 1.11.1 tb-nightly 2.13.0a20230409 tensorboard-data-server 0.7.0 tensorboard-plugin-wit 1.8.1 thop 0.1.1.post2209072238 threadpoolctl 3.1.0 tifffile 2023.3.21 timm 0.6.13 torch 2.0.0 torchaudio 2.0.1 torchprofile 0.0.4 torchsummary 1.5.1 torchvision 0.15.1 tqdm 4.65.0 triton 2.0.0 typing_extensions 4.5.0 urllib3 1.26.15 Werkzeug 2.3.6 wheel 0.37.1 yacs 0.1.8 yapf 0.32.0 zipp 3.15.0

[nulishanganyanjiusheng1]

那么你的basicsr是什么版本呢？