Skip to content

Instantly share code, notes, and snippets.

@robgrzel
Created November 25, 2018 23:39
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save robgrzel/84b1cbac7cf871d067926f67542a300f to your computer and use it in GitHub Desktop.
Save robgrzel/84b1cbac7cf871d067926f67542a300f to your computer and use it in GitHub Desktop.
Miniconda3, python3.6, tensorflow with GPU for cuda 9.1
name: py36tf
channels:
- engility
- conda-forge
- defaults
dependencies:
- attrs=18.2.0=py_0
- backcall=0.1.0=py_0
- bleach=3.0.2=py_0
- decorator=4.3.0=py_0
- entrypoints=0.2.3=py36_1002
- gmp=6.1.2=hfc679d8_0
- ipykernel=5.1.0=py36h24bf2e0_1001
- ipython=7.1.1=py36h24bf2e0_1000
- ipython_genutils=0.2.0=py_1
- jedi=0.13.1=py36_1000
- jinja2=2.10=py_1
- jsonschema=3.0.0a3=py36_1000
- jupyter_client=5.2.3=py_1
- jupyter_core=4.4.0=py_0
- jupyterlab=0.35.4=py36_0
- jupyterlab_server=0.2.0=py_0
- libgfortran=3.0.0=1
- libsodium=1.0.16=h470a237_1
- markupsafe=1.1.0=py36h470a237_0
- mistune=0.8.4=py36h470a237_0
- nbconvert=5.3.1=py_1
- nbformat=4.4.0=py_1
- notebook=5.7.0=py36_1000
- pandoc=2.3.1=0
- pandocfilters=1.4.2=py_1
- parso=0.3.1=py_0
- pexpect=4.6.0=py36_1000
- pickleshare=0.7.5=py36_1000
- prometheus_client=0.4.2=py_0
- prompt_toolkit=2.0.7=py_0
- ptyprocess=0.6.0=py36_1000
- pygments=2.2.0=py_1
- pyrsistent=0.14.5=py36h470a237_1
- pyzmq=17.1.2=py36hae99301_1
- send2trash=1.5.0=py_0
- terminado=0.8.1=py36_1001
- testpath=0.4.2=py36_1000
- traitlets=4.3.2=py36_1000
- wcwidth=0.1.7=py_1
- webencodings=0.5.1=py_1
- zeromq=4.2.5=hfc679d8_6
- _tflow_select=2.1.0=gpu
- absl-py=0.5.0=py36_0
- astor=0.7.1=py36_0
- blas=1.0=mkl
- bzip2=1.0.6=h14c3975_5
- ca-certificates=2018.03.07=0
- cairo=1.14.12=h8948797_3
- certifi=2018.10.15=py36_0
- cffi=1.11.5=py36he75722e_1
- colorama=0.4.0=py36_0
- cudatoolkit=9.2=0
- cudnn=7.2.1=cuda9.2_0
- cupti=9.2.148=0
- cycler=0.10.0=py36_0
- cython=0.29=py36he6710b0_0
- dbus=1.13.2=h714fa37_1
- expat=2.2.6=he6710b0_0
- ffmpeg=4.0=hcdf2ecd_0
- fontconfig=2.13.0=h9420a91_0
- freeglut=3.0.0=hf484d3e_5
- freetype=2.9.1=h8a8886c_1
- gast=0.2.0=py36_0
- glib=2.56.2=hd408876_0
- graphite2=1.3.12=h23475e2_2
- grpcio=1.12.1=py36hdbcaa40_0
- gst-plugins-base=1.14.0=hbbd80ab_1
- gstreamer=1.14.0=hb453b48_1
- h5py=2.8.0=py36h989c5e5_3
- harfbuzz=1.8.8=hffaf4a1_0
- hdf5=1.10.2=hba1933b_1
- html5lib=1.0.1=py36_0
- icu=58.2=h9c2bf20_1
- intel-openmp=2019.0=118
- jasper=2.0.14=h07fcdf6_1
- jpeg=9b=h024ee3a_2
- keras=2.2.4=0
- keras-applications=1.0.6=py36_0
- keras-base=2.2.4=py36_0
- keras-gpu=2.2.4=0
- keras-preprocessing=1.0.5=py36_0
- 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
- libglu=9.0.0=hf484d3e_1
- libopencv=3.4.2=hb342d67_1
- libopus=1.3=h7b6447c_0
- libpng=1.6.34=hb9fc6fc_0
- libprotobuf=3.6.0=hdbcaa40_0
- libstdcxx-ng=8.2.0=hdf63c60_1
- libtiff=4.0.9=he85c1e1_2
- libuuid=1.0.3=h1bed415_2
- libvpx=1.7.0=h439df22_0
- libxcb=1.13=h1bed415_1
- libxml2=2.9.8=h26e45fe_1
- markdown=2.6.11=py36_0
- matplotlib=3.0.0=py36h5429711_0
- mkl
- mkl_fft=1.0.6=py36h7dd41cf_0
- mkl_random=1.0.1=py36h4414c95_1
- mock=2.0.0=py36_0
- ncurses=6.1=hf484d3e_0
- numpy=1.15.2=py36h1d66e8a_1
- numpy-base=1.15.2=py36h81de0dd_1
- opencv=3.4.2=py36h6fd60c2_1
- openssl=1.0.2p=h14c3975_0
- pandas=0.23.4=py36h04863e7_0
- pbr=5.1.0=py36_0
- pcre=8.42=h439df22_0
- pip=10.0.1=py36_0
- pixman=0.34.0=hceecf20_3
- protobuf=3.6.0=py36hf484d3e_0
- py-opencv=3.4.2=py36hb342d67_1
- pycairo=1.18.0=py36h2a1e443_0
- pycparser=2.19=py36_0
- pyparsing=2.2.2=py36_0
- pyqt=5.9.2=py36h05f1152_2
- python=3.6.6=h6e4f718_2
- python-dateutil=2.7.3=py36_0
- pytz=2018.5=py36_0
- pyyaml=3.13=py36h14c3975_0
- qt=5.9.6=h8703b6f_2
- readline=7.0=h7b6447c_5
- scipy=1.1.0=py36hfa4b5c9_1
- setuptools=39.0.1=py36_0
- sip=4.19.8=py36hf484d3e_0
- six=1.11.0=py36_1
- sqlite=3.25.2=h7b6447c_0
- tensorboard=1.11.0=py36hf484d3e_0
- tensorflow=1.11.0=gpu_py36h9c9050a_0
- tensorflow-base=1.11.0=gpu_py36had579c0_0
- tensorflow-gpu=1.11.0=h0d30ee6_0
- termcolor=1.1.0=py36_1
- tk=8.6.8=hbc83047_0
- tornado=5.1.1=py36h7b6447c_0
- vispy=0.5.3=py36hee6b756_0
- werkzeug=0.14.1=py36_0
- wheel=0.32.1=py36_0
- xz=5.2.4=h14c3975_4
- yaml=0.1.7=had09818_2
- zlib=1.2.11=ha838bed_2
- pip:
- aniso8601==4.0.1
- ansi2html==1.5.2
- appdirs==1.4.3
- arrow==0.12.1
- atomicwrites==1.2.1
- chardet==3.0.4
- click==7.0
- defusedxml==0.5.0
- enum34==1.1.6
- flask==1.0.2
- flask-restful==0.3.6
- future==0.17.1
- idna==2.7
- ipyturtle==0.2.0
- ipywidgets==7.4.2
- itsdangerous==1.1.0
- jupyter-tensorboard==0.1.8
- mako==1.0.7
- more-itertools==4.3.0
- nvgpu==0.7.0
- nvidia-ml-py
- opencv-contrib-python==3.4.3.18
- opencv-python==3.4.3.18
- pluggy==0.8.0
- portpicker==1.2.0
- psutil==5.4.8
- py==1.7.0
- pycuda==2018.1.1
- pyqtgraph==0.10.0
- pytest==3.10.1
- pytools==2018.5.2
- requests==2.20.1
- streamplot==1.0
- tabulate==0.8.2
- tensorflow-datasets==0.0.1
- tqdm==4.28.1
- urllib3==1.24.1
- widgetsnbextension==3.4.2
prefix: ${HOME}/miniconda3/envs/py36tf
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment