environment.yml

name: tf_stable
channels:
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _tflow_select=2.1.0=gpu
  - absl-py=0.8.0=py37_0
  - astor=0.8.0=py37_0
  - blas=1.0=mkl
  - c-ares=1.15.0=h7b6447c_1001
  - ca-certificates=2019.11.27=0
  - certifi=2019.11.28=py37_0
  - cudatoolkit=10.0.130=0
  - cudnn=7.6.0=cuda10.0_0
  - cupti=10.0.130=0
  - dill=0.3.1.1=py37_0
  - gast=0.3.2=py_0
  - grpcio=1.16.1=py37hf8bcb03_1
  - h5py=2.9.0=py37h7918eee_0
  - hdf5=1.10.4=hb1b8bf9_0
  - intel-openmp=2019.4=243
  - keras-applications=1.0.8=py_0
  - keras-preprocessing=1.1.0=py_1
  - libedit=3.1.20181209=hc058e9b_0
  - libffi=3.2.1=hd88cf55_4
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libprotobuf=3.9.2=hd408876_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - markdown=3.1.1=py37_0
  - mkl=2019.4=243
  - mkl-service=2.3.0=py37he904b0f_0
  - mkl_fft=1.0.14=py37ha843d7b_0
  - mkl_random=1.1.0=py37hd6b4f25_0
  - mock=3.0.5=py37_0
  - ncurses=6.1=he6710b0_1
  - numpy=1.17.2=py37haad9e8e_0
  - numpy-base=1.17.2=py37hde5b4d6_0
  - openssl=1.1.1d=h7b6447c_3
  - pip=19.2.3=py37_0
  - protobuf=3.9.2=py37he6710b0_0
  - psutil=5.6.7=py37h7b6447c_0
  - python=3.7.4=h265db76_1
  - readline=7.0=h7b6447c_5
  - scipy=1.3.1=py37h7c811a0_0
  - setuptools=41.4.0=py37_0
  - six=1.12.0=py37_0
  - sqlite=3.30.0=h7b6447c_0
  - tensorboard=1.13.1=py37hf484d3e_0
  - tensorflow=1.13.1=gpu_py37hc158e3b_0
  - tensorflow-base=1.13.1=gpu_py37h8d69cac_0
  - tensorflow-estimator=1.13.0=py_0
  - tensorflow-gpu=1.13.1=h0d30ee6_0
  - termcolor=1.1.0=py37_1
  - tk=8.6.8=hbc83047_0
  - werkzeug=0.16.0=py_0
  - wheel=0.33.6=py37_0
  - xz=5.2.4=h14c3975_4
  - zlib=1.2.11=h7b6447c_3
  - pip:
    - cycler==0.10.0
    - dm-sonnet==1.11
    - joblib==0.14.0
    - kiwisolver==1.1.0
    - matplotlib==3.1.1
    - pyparsing==2.4.2
    - python-dateutil==2.8.0
    - scikit-learn==0.21.3
    - sklearn==0.0
    - torch-encoding==0.4.5+042693a
prefix: /home/cl114/anaconda3/envs/tf_stable