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FPL.yaml
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name: FPL_dist
channels:
- pytorch
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
- conda-forge
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
- https://mirrors.bfsu.edu.cn/anaconda/pkgs/msys2
- https://mirrors.bfsu.edu.cn/anaconda/pkgs/r
- https://mirrors.bfsu.edu.cn/anaconda/pkgs/main
- https://mirrors.ustc.edu.cn/anaconda/cloud/menpo/
- https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda/
- https://mirrors.ustc.edu.cn/anaconda/cloud/msys2/
- https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/
- https://mirrors.ustc.edu.cn/anaconda/pkgs/free/
- https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
- 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/msys2/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/fastai/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=4.5=1_gnu
- accelerate=0.5.1=pyhd8ed1ab_0
- blas=1.0=mkl
- ca-certificates=2021.10.8=ha878542_0
- certifi=2020.12.5=py36h06a4308_0
- cloudpickle=2.0.0=pyhd3eb1b0_0
- colorama=0.4.4=pyh9f0ad1d_0
- cudatoolkit=10.1.243=h6bb024c_0
- cycler=0.10.0=py36_0
- cytoolz=0.11.0=py36h7b6447c_0
- dask-core=1.1.4=py36_1
- dataclasses=0.8=pyh4f3eec9_6
- decorator=5.1.1=pyhd3eb1b0_0
- easydict=1.9=py_0
- fontconfig=2.13.1=h6c09931_0
- freetype=2.11.0=h70c0345_0
- future=0.18.2=py36_1
- icu=58.2=he6710b0_3
- imageio=2.9.0=pyhd3eb1b0_0
- intel-openmp=2021.4.0=h06a4308_3561
- jpeg=9d=h7f8727e_0
- kiwisolver=1.3.1=py36h2531618_0
- lcms2=2.12=h3be6417_0
- libblas=3.9.0=12_linux64_mkl
- libcblas=3.9.0=12_linux64_mkl
- libgcc-ng=9.3.0=h5101ec6_17
- libgfortran-ng=9.3.0=ha5ec8a7_17
- libgfortran5=9.3.0=ha5ec8a7_17
- libgomp=9.3.0=h5101ec6_17
- liblapack=3.9.0=12_linux64_mkl
- libpng=1.6.37=hbc83047_0
- libsodium=1.0.18=h7b6447c_0
- libstdcxx-ng=9.3.0=hd4cf53a_17
- libtiff=4.2.0=h85742a9_0
- libuuid=1.0.3=h7f8727e_2
- libuv=1.40.0=h7b6447c_0
- libwebp-base=1.2.0=h27cfd23_0
- libxml2=2.9.12=h03d6c58_0
- lz4-c=1.9.3=h295c915_1
- matplotlib=3.3.4=py36h06a4308_0
- matplotlib-base=3.3.4=py36h62a2d02_0
- mkl=2021.4.0=h06a4308_640
- ncurses=5.9=10
- networkx=2.2=py36_1
- ninja=1.10.2=h5e70eb0_2
- numpy=1.19.5=py36hfc0c790_2
- olefile=0.46=py36_0
- openssl=1.0.2u=h516909a_0
- packaging=21.0=pyhd3eb1b0_0
- pandas=0.20.3=py36_0
- pillow=8.2.0=py36he98fc37_0
- pip=21.0.1=py36h06a4308_0
- pyparsing=3.0.4=pyhd3eb1b0_0
- pyqt=4.11.4=py36_3
- python=3.6.2=0
- python-dateutil=2.8.2=pyhd3eb1b0_0
- python_abi=3.6=2_cp36m
- pytorch=1.7.0=py3.6_cuda10.1.243_cudnn7.6.3_0
- pytz=2021.3=pyhd3eb1b0_0
- pywavelets=1.1.1=py36h7b6447c_2
- pyyaml=5.4.1=py36h27cfd23_1
- pyzmq=22.2.1=py36h295c915_1
- qt=4.8.7=3
- readline=6.2=0
- scikit-image=0.15.0=py36hb3f55d8_2
- scipy=1.5.3=py36h9e8f40b_0
- setuptools=58.0.4=py36h06a4308_0
- sip=4.18=py36_0
- sqlite=3.13.0=0
- tk=8.5.18=0
- toolz=0.11.2=pyhd3eb1b0_0
- torchaudio=0.7.0=py36
- torchfile=0.1.0=py_0
- torchvision=0.8.0=py36_cu101
- tornado=6.1=py36h27cfd23_0
- tqdm=4.62.3=pyhd8ed1ab_0
- typing_extensions=3.10.0.2=pyh06a4308_0
- unzip=6.0=h611a1e1_0
- visdom=0.1.8.9=0
- websocket-client=0.58.0=py36h06a4308_4
- wheel=0.37.0=pyhd3eb1b0_1
- xz=5.2.5=h7b6447c_0
- yaml=0.2.5=h7b6447c_0
- zeromq=4.3.4=h2531618_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.9=haebb681_0
- pip:
- absl-py==0.15.0
- apex==0.1
- astunparse==1.6.3
- cached-property==1.5.2
- cachetools==4.2.4
- charset-normalizer==2.0.7
- clang==5.0
- flatbuffers==1.12
- gast==0.4.0
- google-auth==1.35.0
- google-auth-oauthlib==0.4.6
- google-pasta==0.2.0
- grpcio==1.41.1
- h5py==3.1.0
- idna==3.3
- importlib-metadata==4.8.2
- keras==2.6.0
- keras-preprocessing==1.1.2
- markdown==3.3.4
- oauthlib==3.1.1
- opencv-python==4.5.4.60
- opencv-python-headless==4.5.5.64
- opt-einsum==3.3.0
- protobuf==3.19.1
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- requests==2.26.0
- requests-oauthlib==1.3.0
- rsa==4.7.2
- six==1.15.0
- tensorboard==2.6.0
- tensorboard-data-server==0.6.1
- tensorboard-plugin-wit==1.8.0
- tensorboardx==2.4
- tensorflow==2.6.2
- tensorflow-estimator==2.6.0
- termcolor==1.1.0
- typing-extensions==3.7.4.3
- urllib3==1.26.7
- werkzeug==2.0.2
- wrapt==1.12.1
- zipp==3.6.0
prefix: /anaconda/envs/FPL_dist