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atlasnet.yaml
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111 lines (111 loc) · 3.28 KB
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name: atlasnet
channels:
- pytorch
- nvidia
- 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/pytorch/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
- defaults
dependencies:
- blas=1.0=mkl
- brotli-python=1.0.9=py39hd77b12b_8
- ca-certificates=2024.3.11=haa95532_0
- certifi=2024.2.2=py39haa95532_0
- charset-normalizer=2.0.4=pyhd3eb1b0_0
- cuda-cccl=12.4.127=0
- cuda-cudart=12.1.105=0
- cuda-cudart-dev=12.1.105=0
- cuda-cupti=12.1.105=0
- cuda-libraries=12.1.0=0
- cuda-libraries-dev=12.1.0=0
- cuda-nvrtc=12.1.105=0
- cuda-nvrtc-dev=12.1.105=0
- cuda-nvtx=12.1.105=0
- cuda-opencl=12.4.127=0
- cuda-opencl-dev=12.4.127=0
- cuda-profiler-api=12.4.127=0
- cuda-runtime=12.1.0=0
- filelock=3.13.1=py39haa95532_0
- freetype=2.4.10=0
- gmpy2=2.1.2=py39h7f96b67_0
- idna=3.7=py39haa95532_0
- intel-openmp=2021.4.0=haa95532_3556
- jinja2=3.1.3=py39haa95532_0
- jpeg=8d=0
- libcublas=12.1.0.26=0
- libcublas-dev=12.1.0.26=0
- libcufft=11.0.2.4=0
- libcufft-dev=11.0.2.4=0
- libcurand=10.3.5.147=0
- libcurand-dev=10.3.5.147=0
- libcusolver=11.4.4.55=0
- libcusolver-dev=11.4.4.55=0
- libcusparse=12.0.2.55=0
- libcusparse-dev=12.0.2.55=0
- libjpeg-turbo=2.0.0=h196d8e1_0
- libnpp=12.0.2.50=0
- libnpp-dev=12.0.2.50=0
- libnvjitlink=12.1.105=0
- libnvjitlink-dev=12.1.105=0
- libnvjpeg=12.1.1.14=0
- libnvjpeg-dev=12.1.1.14=0
- libpng=1.6.17=0
- libtiff=4.0.2=1
- libuv=1.44.2=h2bbff1b_0
- libwebp=1.2.4=h2bbff1b_0
- libwebp-base=1.2.4=h2bbff1b_1
- markupsafe=2.1.3=py39h2bbff1b_0
- mkl=2021.4.0=haa95532_640
- mkl-service=2.4.0=py39h2bbff1b_0
- mkl_fft=1.3.1=py39h277e83a_0
- mkl_random=1.2.2=py39hf11a4ad_0
- mpc=1.1.0=h7edee0f_1
- mpfr=4.0.2=h62dcd97_1
- mpir=3.0.0=hec2e145_1
- mpmath=1.3.0=py39haa95532_0
- networkx=3.1=py39haa95532_0
- numpy=1.24.3=py39hf95b240_0
- numpy-base=1.24.3=py39h005ec55_0
- openssl=3.0.13=h2bbff1b_1
- pillow=9.3.0=py39hdc2b20a_1
- pip=24.0=py39haa95532_0
- pysocks=1.7.1=py39haa95532_0
- python=3.9.19=h1aa4202_1
- pytorch=2.3.0=py3.9_cuda12.1_cudnn8_0
- pytorch-cuda=12.1=hde6ce7c_5
- pytorch-mutex=1.0=cuda
- pyyaml=6.0.1=py39h2bbff1b_0
- requests=2.31.0=py39haa95532_1
- setuptools=69.5.1=py39haa95532_0
- six=1.16.0=pyhd3eb1b0_1
- sqlite=3.45.3=h2bbff1b_0
- sympy=1.12=py39haa95532_0
- tk=8.6.14=h0416ee5_0
- typing_extensions=4.11.0=py39haa95532_0
- tzdata=2024a=h04d1e81_0
- urllib3=2.2.1=py39haa95532_0
- vc=14.2=h21ff451_1
- vs2015_runtime=14.27.29016=h5e58377_2
- wheel=0.43.0=py39haa95532_0
- win_inet_pton=1.1.0=py39haa95532_0
- yaml=0.2.5=he774522_0
- zlib=1.2.13=h8cc25b3_1
- pip:
- contourpy==1.2.1
- cycler==0.12.1
- fonttools==4.51.0
- importlib-resources==6.4.0
- kiwisolver==1.4.5
- matplotlib==3.9.0
- packaging==24.0
- pyparsing==3.1.2
- pystrum==0.4
- python-dateutil==2.9.0.post0
- scipy==1.13.0
- torchaudio==2.3.0
- torchvision==0.18.0
- zipp==3.18.1
prefix: D:\anaconda\envs\atlasnet