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environment.yml
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151 lines (151 loc) · 4.46 KB
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name: pytorch1.7
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- appdirs=1.4.4=pyhd3eb1b0_0
- asttokens=2.2.1=pyhd8ed1ab_0
- backcall=0.2.0=pyh9f0ad1d_0
- backports=1.0=pyhd8ed1ab_3
- backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
- blas=1.0=mkl
- bottleneck=1.3.5=py38h7deecbd_0
- brotlipy=0.7.0=py38h27cfd23_1003
- ca-certificates=2023.05.30=h06a4308_0
- certifi=2023.5.7=py38h06a4308_0
- cffi=1.15.1=py38h5eee18b_3
- charset-normalizer=2.0.4=pyhd3eb1b0_0
- cryptography=39.0.1=py38h9ce1e76_2
- cudatoolkit=10.2.89=hfd86e86_1
- debugpy=1.5.1=py38h295c915_0
- decorator=5.1.1=pyhd8ed1ab_0
- entrypoints=0.4=pyhd8ed1ab_0
- executing=1.2.0=pyhd8ed1ab_0
- freetype=2.12.1=h4a9f257_0
- giflib=5.2.1=h5eee18b_3
- idna=3.4=py38h06a4308_0
- intel-openmp=2021.4.0=h06a4308_3561
- ipykernel=6.15.0=pyh210e3f2_0
- ipython=8.12.0=pyh41d4057_0
- jedi=0.18.2=pyhd8ed1ab_0
- joblib=1.2.0=py38h06a4308_0
- jpeg=9b=h024ee3a_2
- jupyter_client=7.0.6=pyhd8ed1ab_0
- jupyter_core=4.12.0=py38h578d9bd_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgfortran-ng=11.2.0=h00389a5_1
- libgfortran5=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libpng=1.6.39=h5eee18b_0
- libsodium=1.0.18=h36c2ea0_1
- libstdcxx-ng=11.2.0=h1234567_1
- libtiff=4.1.0=h2733197_1
- libuv=1.44.2=h5eee18b_0
- libwebp=1.2.0=h89dd481_0
- lz4-c=1.9.4=h6a678d5_0
- matplotlib-inline=0.1.6=pyhd8ed1ab_0
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py38h7f8727e_0
- mkl_fft=1.3.1=py38hd3c417c_0
- mkl_random=1.2.2=py38h51133e4_0
- ncurses=6.4=h6a678d5_0
- nest-asyncio=1.5.6=pyhd8ed1ab_0
- ninja=1.10.2=h06a4308_5
- ninja-base=1.10.2=hd09550d_5
- numexpr=2.8.4=py38he184ba9_0
- numpy=1.23.4=py38h14f4228_0
- numpy-base=1.23.4=py38h31eccc5_0
- openssl=3.0.9=h7f8727e_0
- pandas=1.5.3=py38h417a72b_0
- parso=0.8.3=pyhd8ed1ab_0
- pexpect=4.8.0=pyh1a96a4e_2
- pickleshare=0.7.5=py_1003
- pillow=9.3.0=py38hace64e9_1
- pip=23.1.2=py38h06a4308_0
- pooch=1.4.0=pyhd3eb1b0_0
- prompt-toolkit=3.0.38=pyha770c72_0
- prompt_toolkit=3.0.38=hd8ed1ab_0
- ptyprocess=0.7.0=pyhd3deb0d_0
- pure_eval=0.2.2=pyhd8ed1ab_0
- pycparser=2.21=pyhd3eb1b0_0
- pygments=2.15.1=pyhd8ed1ab_0
- pyopenssl=23.0.0=py38h06a4308_0
- pysocks=1.7.1=py38h06a4308_0
- python=3.8.16=h955ad1f_4
- python-dateutil=2.8.2=pyhd3eb1b0_0
- python_abi=3.8=2_cp38
- pytorch=1.7.1=py3.8_cuda10.2.89_cudnn7.6.5_0
- pytz=2022.7=py38h06a4308_0
- pyzmq=19.0.2=py38ha71036d_2
- readline=8.2=h5eee18b_0
- requests=2.29.0=py38h06a4308_0
- scikit-learn=1.1.3=py38h6a678d5_0
- scipy=1.10.1=py38h14f4228_0
- setuptools=67.8.0=py38h06a4308_0
- six=1.16.0=pyhd3eb1b0_1
- sqlite=3.41.2=h5eee18b_0
- stack_data=0.6.2=pyhd8ed1ab_0
- tbb=2021.8.0=hdb19cb5_0
- threadpoolctl=2.2.0=pyh0d69192_0
- tk=8.6.12=h1ccaba5_0
- torchaudio=0.7.2=py38
- torchvision=0.8.2=py38_cu102
- tornado=6.1=py38h0a891b7_3
- traitlets=5.9.0=pyhd8ed1ab_0
- typing_extensions=4.6.3=py38h06a4308_0
- urllib3=1.26.16=py38h06a4308_0
- wcwidth=0.2.6=pyhd8ed1ab_0
- wheel=0.38.4=py38h06a4308_0
- xz=5.4.2=h5eee18b_0
- yaml=0.2.5=h7b6447c_0
- zeromq=4.3.4=h9c3ff4c_1
- zlib=1.2.13=h5eee18b_0
- zstd=1.4.9=haebb681_0
- pip:
- absl-py==1.4.0
- blessed==1.20.0
- cachetools==4.2.4
- contourpy==1.1.0
- cycler==0.11.0
- decord==0.6.0
- einops==0.6.1
- fonttools==4.40.0
- google-auth==1.35.0
- google-auth-oauthlib==0.4.6
- gpustat==1.1
- grpcio==1.56.0
- importlib-metadata==6.7.0
- importlib-resources==5.12.0
- kiwisolver==1.4.4
- markdown==3.4.3
- markupsafe==2.1.3
- matplotlib==3.7.1
- nvidia-ml-py==11.525.112
- oauthlib==3.2.2
- onnx==1.14.0
- opencv-python==4.7.0.72
- packaging==23.1
- protobuf==4.23.3
- psutil==5.9.5
- pyasn1==0.5.0
- pyasn1-modules==0.3.0
- pyparsing==3.1.0
- pyyaml==6.0
- rarfile==4.0
- requests-oauthlib==1.3.1
- rsa==4.9
- seaborn==0.12.2
- tensorboard==2.4.1
- tensorboard-plugin-wit==1.8.1
- tensorboardx==2.6.1
- timm==0.4.12
- tqdm==4.65.0
- werkzeug==2.3.6
- zipp==3.15.0
prefix: /data/xxx/anaconda3/envs/pytorch1.7