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environment.yaml
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name: tf-cuda9
channels:
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _tflow_select=2.1.0=gpu
- absl-py=0.11.0=py37h06a4308_0
- argon2-cffi=20.1.0=py37h8f50634_2
- astor=0.8.1=py37_0
- async_generator=1.10=py_0
- attrs=20.2.0=pyh9f0ad1d_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.1=py_0
- blas=1.0=openblas
- bleach=3.2.1=pyh9f0ad1d_0
- brotlipy=0.7.0=py37hb5d75c8_1001
- c-ares=1.16.1=h7b6447c_0
- ca-certificates=2022.10.11=h06a4308_0
- certifi=2022.9.24=py37h06a4308_0
- cffi=1.14.3=py37he30daa8_0
- charset-normalizer=2.0.12=pyhd8ed1ab_0
- cryptography=35.0.0=py37h5d9358c_0
- cudatoolkit=9.0=h13b8566_0
- cudnn=7.3.1=cuda9.0_0
- cupti=9.0.176=0
- decorator=4.4.2=py_0
- defusedxml=0.6.0=py_0
- entrypoints=0.3=py37hc8dfbb8_1002
- freetype=2.10.4=h7ca028e_0
- gast=0.4.0=py_0
- google-pasta=0.2.0=py_0
- grpcio=1.31.0=py37hf8bcb03_0
- h5py=2.10.0=py37hd6299e0_1
- hdf5=1.10.6=hb1b8bf9_0
- icu=67.1=he1b5a44_0
- importlib-metadata=2.0.0=py_1
- importlib_metadata=2.0.0=1
- intel-openmp=2020.2=254
- ipykernel=5.3.4=py37hc6149b9_1
- ipython=5.8.0=py37_1
- ipython_genutils=0.2.0=py_1
- ipywidgets=7.5.1=pyh9f0ad1d_1
- jinja2=2.11.2=pyh9f0ad1d_0
- jsonschema=3.2.0=py_2
- jupyter_client=6.1.7=py_0
- jupyter_core=4.6.3=py37hc8dfbb8_2
- jupyterlab_pygments=0.1.2=pyh9f0ad1d_0
- keras=2.3.1=0
- keras-applications=1.0.8=py_1
- keras-base=2.3.1=py37_0
- keras-gpu=2.3.1=0
- keras-preprocessing=1.1.0=py_1
- ld_impl_linux-64=2.33.1=h53a641e_7
- libblas=3.9.0=8_openblas
- libcblas=3.9.0=8_openblas
- libedit=3.1.20191231=h14c3975_1
- libffi=3.3=he6710b0_2
- libgcc-ng=9.1.0=hdf63c60_0
- libgfortran-ng=7.5.0=h14aa051_20
- libgfortran4=7.5.0=h14aa051_20
- libopenblas=0.3.12=pthreads_hb3c22a3_1
- libpng=1.6.37=h21135ba_2
- libprotobuf=3.13.0.1=hd408876_0
- libsodium=1.0.18=h516909a_1
- libstdcxx-ng=9.1.0=hdf63c60_0
- littleutils=0.2.2=py_0
- markdown=3.3.2=py37_0
- markupsafe=1.1.1=py37hb5d75c8_2
- matplotlib-base=3.2.2=py37h1d35a4c_1
- mistune=0.8.4=py37h8f50634_1002
- mkl=2020.2=256
- mkl-service=2.3.0=py37he904b0f_0
- mpmath=1.2.1=pyhd8ed1ab_0
- nbclient=0.5.1=py_0
- nbconvert=6.0.7=py37hc8dfbb8_2
- nbformat=5.0.8=py_0
- ncurses=6.2=he6710b0_1
- nest-asyncio=1.4.1=py_0
- notebook=6.1.4=py37hc8dfbb8_1
- numpy=1.21.5=py37h7a5d4dd_2
- numpy-base=1.21.5=py37hb8be1f0_2
- openssl=1.1.1s=h7f8727e_0
- outdated=0.2.1=pyhd8ed1ab_0
- packaging=20.4=pyh9f0ad1d_0
- pandas-flavor=0.2.0=py_0
- pandoc=2.11.0.4=hd18ef5c_0
- pandocfilters=1.4.2=py_1
- pexpect=4.8.0=pyh9f0ad1d_2
- pickleshare=0.7.5=py_1003
- pingouin=0.5.1=pyhd8ed1ab_0
- pip=20.2.4=py37_0
- prometheus_client=0.8.0=pyh9f0ad1d_0
- prompt_toolkit=1.0.15=py_1
- protobuf=3.13.0.1=py37he6710b0_1
- ptyprocess=0.6.0=py_1001
- pycparser=2.20=pyh9f0ad1d_2
- pygments=2.7.2=py_0
- pyopenssl=22.0.0=pyhd8ed1ab_0
- pyparsing=2.4.7=pyh9f0ad1d_0
- pyrsistent=0.17.3=py37h8f50634_1
- pysocks=1.7.1=py37h89c1867_5
- python=3.7.9=h7579374_0
- python-dateutil=2.8.1=py_0
- python_abi=3.7=1_cp37m
- pyyaml=5.3.1=py37h7b6447c_1
- pyzmq=19.0.2=py37hac76be4_2
- readline=8.0=h7b6447c_0
- seaborn-base=0.11.2=pyhd8ed1ab_0
- send2trash=1.5.0=py_0
- setuptools=50.3.0=py37hb0f4dca_1
- simplegeneric=0.8.1=py_1
- six=1.15.0=py_0
- sqlite=3.33.0=h62c20be_0
- statsmodels=0.12.2=py37h27cfd23_0
- tabulate=0.8.9=pyhd8ed1ab_0
- tensorboard=1.14.0=py37hf484d3e_0
- tensorflow=1.14.0=gpu_py37hae64822_0
- tensorflow-estimator=1.14.0=py_0
- termcolor=1.1.0=py37_1
- terminado=0.9.1=py37hc8dfbb8_1
- testpath=0.4.4=py_0
- tk=8.6.10=hbc83047_0
- tornado=6.0.4=py37h8f50634_2
- traitlets=5.0.5=py_0
- wcwidth=0.2.5=pyh9f0ad1d_2
- webencodings=0.5.1=py_1
- werkzeug=1.0.1=py_0
- wheel=0.35.1=py_0
- widgetsnbextension=3.5.1=py37hc8dfbb8_4
- wrapt=1.12.1=py37h7b6447c_1
- xarray=0.19.0=pyhd8ed1ab_1
- xz=5.2.5=h7b6447c_0
- yaml=0.2.5=h7b6447c_0
- zeromq=4.3.3=he1b5a44_2
- zipp=3.4.0=pyhd3eb1b0_0
- zlib=1.2.11=h7b6447c_3
- pip:
- adjusttext==0.7.3
- alignment==0.0.1
- chardet==4.0.0
- cmasher==1.6.2
- colorspacious==1.1.2
- cycler==0.10.0
- demjson==2.2.4
- e13tools==0.9.6
- editdistance==0.5.3
- fastdtw==0.3.4
- idna==2.10
- imageio==2.9.0
- joblib==1.0.0
- keract==4.5.0
- kiwisolver==1.2.0
- mat4py==0.5.0
- matplotlib==3.4.3
- natsort==7.1.1
- networkx==2.5
- opencv-python==4.4.0.44
- pandas==1.2.1
- patsy==0.5.1
- pillow==8.0.1
- pytz==2021.1
- pywavelets==1.1.1
- requests==2.25.1
- researchpy==0.3.2
- salicon==1.0
- scikit-image==0.18.1
- scikit-learn==0.24.1
- scipy==1.1.0
- seaborn==0.11.1
- shapely==1.8.1.post1
- simplejson==3.17.5
- sklearn==0.0
- spotlight==2.3.1
- tensorflow-gpu==1.14.0
- threadpoolctl==2.1.0
- tifffile==2021.3.17
- tqdm==4.51.0
- urllib3==1.26.4
- wget==3.2
prefix: /netpool/homes/wangyo/.conda/envs/tf-cuda9