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Help on detailed package version configuration #85

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Infinity12306 opened this issue May 25, 2023 · 3 comments
Open

Help on detailed package version configuration #85

Infinity12306 opened this issue May 25, 2023 · 3 comments

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@Infinity12306
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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
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Mytttttttt commented May 25, 2023 via email

@bnm6900030
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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
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那么你的basicsr是什么版本呢?

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