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noisy.yml
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name: /data0/zhaoganlong/condaenv/noisy
channels:
- pytorch
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=4.5=1_gnu
- blas=1.0=mkl
- bottleneck=1.3.4=py39hce1f21e_0
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2022.4.26=h06a4308_0
- certifi=2022.5.18.1=py39h06a4308_0
- cudatoolkit=11.3.1=h2bc3f7f_2
- ffmpeg=4.3=hf484d3e_0
- freetype=2.11.0=h70c0345_0
- giflib=5.2.1=h7b6447c_0
- gmp=6.2.1=h2531618_2
- gnutls=3.6.15=he1e5248_0
- intel-openmp=2021.4.0=h06a4308_3561
- joblib=1.1.0=pyhd3eb1b0_0
- jpeg=9d=h7f8727e_0
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.35.1=h7274673_9
- libffi=3.3=he6710b0_2
- libgcc-ng=9.3.0=h5101ec6_17
- libgfortran-ng=7.5.0=ha8ba4b0_17
- libgfortran4=7.5.0=ha8ba4b0_17
- libgomp=9.3.0=h5101ec6_17
- libiconv=1.15=h63c8f33_5
- libidn2=2.3.2=h7f8727e_0
- libpng=1.6.37=hbc83047_0
- libstdcxx-ng=9.3.0=hd4cf53a_17
- libtasn1=4.16.0=h27cfd23_0
- libtiff=4.2.0=h85742a9_0
- libunistring=0.9.10=h27cfd23_0
- libuv=1.40.0=h7b6447c_0
- libwebp=1.2.0=h89dd481_0
- libwebp-base=1.2.0=h27cfd23_0
- lz4-c=1.9.3=h295c915_1
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py39h7f8727e_0
- mkl_fft=1.3.1=py39hd3c417c_0
- mkl_random=1.2.2=py39h51133e4_0
- ncurses=6.3=h7f8727e_0
- nettle=3.7.3=hbbd107a_1
- numexpr=2.8.1=py39h6abb31d_0
- numpy=1.21.2=py39h20f2e39_0
- numpy-base=1.21.2=py39h79a1101_0
- olefile=0.46=pyhd3eb1b0_0
- openh264=2.1.0=hd408876_0
- openssl=1.1.1o=h7f8727e_0
- packaging=21.3=pyhd3eb1b0_0
- pandas=1.4.2=py39h295c915_0
- pillow=8.4.0=py39h5aabda8_0
- pip=21.2.4=py39h06a4308_0
- python=3.9.7=h12debd9_1
- python-dateutil=2.8.2=pyhd3eb1b0_0
- pytorch=1.10.0=py3.9_cuda11.3_cudnn8.2.0_0
- pytorch-mutex=1.0=cuda
- pytz=2022.1=py39h06a4308_0
- readline=8.1=h27cfd23_0
- scikit-learn=1.0.1=py39h51133e4_0
- scipy=1.7.1=py39h292c36d_2
- setuptools=58.0.4=py39h06a4308_0
- six=1.16.0=pyhd3eb1b0_0
- sqlite=3.36.0=hc218d9a_0
- threadpoolctl=2.2.0=pyh0d69192_0
- tk=8.6.11=h1ccaba5_0
- torchaudio=0.10.0=py39_cu113
- torchvision=0.11.1=py39_cu113
- tqdm=4.62.3=pyhd3eb1b0_1
- typing_extensions=3.10.0.2=pyh06a4308_0
- tzdata=2021e=hda174b7_0
- wheel=0.37.0=pyhd3eb1b0_1
- xz=5.2.5=h7b6447c_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.9=haebb681_0
- pip:
- charset-normalizer==2.0.7
- idna==3.3
- imageio==2.19.3
- jsonpatch==1.32
- jsonpointer==2.1
- networkx==2.8.2
- nvidia-htop==1.0.5
- pyparsing==3.0.9
- pywavelets==1.3.0
- pyzmq==22.3.0
- requests==2.26.0
- scikit-image==0.19.2
- termcolor==1.1.0
- termplotlib==0.3.9
- tifffile==2022.5.4
- torchfile==0.1.0
- torchnet==0.0.4
- tornado==6.1
- urllib3==1.26.7
- visdom==0.1.8.9
- websocket-client==1.2.1
prefix: /data0/zhaoganlong/condaenv/noisy