name: pytorch0.4.1
channels:
  - pytorch
  - defaults
dependencies:
  - blas=1.0=mkl
  - ca-certificates=2019.1.23=0
  - certifi=2019.3.9=py36_0
  - cffi=1.11.5=py36he75722e_1
  - cuda90=1.0=h6433d27_0
  - cycler=0.10.0=py36_0
  - dbus=1.13.6=h746ee38_0
  - expat=2.2.6=he6710b0_0
  - fontconfig=2.13.0=h9420a91_0
  - freetype=2.9.1=h8a8886c_1
  - glib=2.56.2=hd408876_0
  - gst-plugins-base=1.14.0=hbbd80ab_1
  - gstreamer=1.14.0=hb453b48_1
  - icu=58.2=h9c2bf20_1
  - intel-openmp=2019.1=144
  - jpeg=9b=h024ee3a_2
  - kiwisolver=1.0.1=py36hf484d3e_0
  - libedit=3.1.20170329=h6b74fdf_2
  - libffi=3.2.1=hd88cf55_4
  - libgcc-ng=8.2.0=hdf63c60_1
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.37=hbc83047_0
  - libstdcxx-ng=8.2.0=hdf63c60_1
  - libtiff=4.0.9=he85c1e1_2
  - libuuid=1.0.3=h1bed415_2
  - libxcb=1.13=h1bed415_1
  - libxml2=2.9.9=he19cac6_0
  - matplotlib=3.0.3=py36h5429711_0
  - mkl=2019.1=144
  - mkl_fft=1.0.6=py36hd81dba3_0
  - mkl_random=1.0.2=py36hd81dba3_0
  - ncurses=6.1=he6710b0_1
  - ninja=1.8.2=py36h6bb024c_1
  - numpy=1.15.4=py36h7e9f1db_0
  - numpy-base=1.15.4=py36hde5b4d6_0
  - olefile=0.46=py36_0
  - openssl=1.1.1b=h7b6447c_1
  - pandas=0.23.4=py36h04863e7_0
  - pcre=8.43=he6710b0_0
  - pip=18.1=py36_0
  - pycparser=2.19=py36_0
  - pyparsing=2.4.0=py_0
  - pyqt=5.9.2=py36h05f1152_2
  - python=3.6.7=h0371630_0
  - python-dateutil=2.7.5=py36_0
  - pytorch=0.4.1=py36_py35_py27__9.0.176_7.1.2_2
  - pytz=2018.7=py36_0
  - qt=5.9.7=h5867ecd_1
  - readline=7.0=h7b6447c_5
  - scikit-learn=0.20.2=py36hd81dba3_0
  - scipy=1.1.0=py36h7c811a0_2
  - setuptools=40.6.3=py36_0
  - sip=4.19.8=py36hf484d3e_0
  - sqlite=3.26.0=h7b6447c_0
  - tk=8.6.8=hbc83047_0
  - torchvision=0.2.1=py36_0
  - tornado=6.0.2=py36h7b6447c_0
  - wheel=0.32.3=py36_0
  - xz=5.2.4=h14c3975_4
  - zlib=1.2.11=h7b6447c_3
  - pip:
    - pillow==5.3.0
    - protobuf==3.6.1
    - six==1.12.0
    - tensorboard-logger==0.1.0
    - tqdm==4.31.1
prefix: /home/ubuntu/anaconda3/envs/pytorch0.4.1