Mnist_Example_With_MLflow/env.yml

name: mlflow-25752a33b9fc08fbbb89d5b70379f78c5cd031a9
channels:
  - pytorch
  - nvidia
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=4.5=1_gnu
  - anyio=2.2.0=py37h06a4308_1
  - argon2-cffi=20.1.0=py37h27cfd23_1
  - async_generator=1.10=py37h28b3542_0
  - attrs=21.2.0=pyhd3eb1b0_0
  - babel=2.9.1=pyhd3eb1b0_0
  - backcall=0.2.0=pyhd3eb1b0_0
  - blas=1.0=mkl
  - bleach=3.3.0=pyhd3eb1b0_0
  - brotlipy=0.7.0=py37h27cfd23_1003
  - bzip2=1.0.8=h7b6447c_0
  - ca-certificates=2021.5.25=h06a4308_1
  - certifi=2021.5.30=py37h06a4308_0
  - cffi=1.14.5=py37h261ae71_0
  - chardet=4.0.0=py37h06a4308_1003
  - cryptography=3.4.7=py37hd23ed53_0
  - cudatoolkit=11.1.74=h6bb024c_0
  - decorator=5.0.9=pyhd3eb1b0_0
  - defusedxml=0.7.1=pyhd3eb1b0_0
  - entrypoints=0.3=py37_0
  - ffmpeg=4.3=hf484d3e_0
  - freetype=2.10.4=h5ab3b9f_0
  - gmp=6.2.1=h2531618_2
  - gnutls=3.6.15=he1e5248_0
  - idna=2.10=pyhd3eb1b0_0
  - importlib-metadata=3.10.0=py37h06a4308_0
  - importlib_metadata=3.10.0=hd3eb1b0_0
  - intel-openmp=2021.2.0=h06a4308_610
  - ipykernel=5.3.4=py37h5ca1d4c_0
  - ipython=7.22.0=py37hb070fc8_0
  - ipython_genutils=0.2.0=pyhd3eb1b0_1
  - jedi=0.17.0=py37_0
  - jinja2=3.0.0=pyhd3eb1b0_0
  - jpeg=9b=h024ee3a_2
  - json5=0.9.5=py_0
  - jsonschema=3.2.0=py_2
  - jupyter-packaging=0.7.12=pyhd3eb1b0_0
  - jupyter_client=6.1.12=pyhd3eb1b0_0
  - jupyter_core=4.7.1=py37h06a4308_0
  - jupyter_server=1.4.1=py37h06a4308_0
  - jupyterlab=3.0.14=pyhd3eb1b0_1
  - jupyterlab_pygments=0.1.2=py_0
  - jupyterlab_server=2.4.0=pyhd3eb1b0_0
  - lame=3.100=h7b6447c_0
  - lcms2=2.12=h3be6417_0
  - ld_impl_linux-64=2.35.1=h7274673_9
  - libffi=3.3=he6710b0_2
  - libgcc-ng=9.3.0=h5101ec6_17
  - libgomp=9.3.0=h5101ec6_17
  - libiconv=1.15=h63c8f33_5
  - libidn2=2.3.1=h27cfd23_0
  - libpng=1.6.37=hbc83047_0
  - libsodium=1.0.18=h7b6447c_0
  - libstdcxx-ng=9.3.0=hd4cf53a_17
  - libtasn1=4.16.0=h27cfd23_0
  - libtiff=4.2.0=h85742a9_0
  - libunistring=0.9.10=h27cfd23_0
  - libuv=1.40.0=h7b6447c_0
  - libwebp-base=1.2.0=h27cfd23_0
  - lz4-c=1.9.3=h2531618_0
  - markupsafe=2.0.1=py37h27cfd23_0
  - mistune=0.8.4=py37h14c3975_1001
  - mkl=2021.2.0=h06a4308_296
  - mkl-service=2.3.0=py37h27cfd23_1
  - mkl_fft=1.3.0=py37h42c9631_2
  - mkl_random=1.2.1=py37ha9443f7_2
  - nbclassic=0.2.6=pyhd3eb1b0_0
  - nbclient=0.5.3=pyhd3eb1b0_0
  - nbconvert=6.0.7=py37_0
  - nbformat=5.1.3=pyhd3eb1b0_0
  - ncurses=6.2=he6710b0_1
  - nest-asyncio=1.5.1=pyhd3eb1b0_0
  - nettle=3.7.3=hbbd107a_1
  - ninja=1.10.2=hff7bd54_1
  - notebook=6.4.0=py37h06a4308_0
  - numpy=1.20.2=py37h2d18471_0
  - numpy-base=1.20.2=py37hfae3a4d_0
  - olefile=0.46=py37_0
  - openh264=2.1.0=hd408876_0
  - openssl=1.1.1k=h27cfd23_0
  - packaging=20.9=pyhd3eb1b0_0
  - pandoc=2.12=h06a4308_0
  - pandocfilters=1.4.3=py37h06a4308_1
  - parso=0.8.2=pyhd3eb1b0_0
  - pexpect=4.8.0=pyhd3eb1b0_3
  - pickleshare=0.7.5=pyhd3eb1b0_1003
  - pillow=8.2.0=py37he98fc37_0
  - pip=21.1.2=py37h06a4308_0
  - prometheus_client=0.11.0=pyhd3eb1b0_0
  - prompt-toolkit=3.0.17=pyh06a4308_0
  - ptyprocess=0.7.0=pyhd3eb1b0_2
  - pycparser=2.20=py_2
  - pygments=2.9.0=pyhd3eb1b0_0
  - pyopenssl=20.0.1=pyhd3eb1b0_1
  - pyparsing=2.4.7=pyhd3eb1b0_0
  - pyrsistent=0.17.3=py37h7b6447c_0
  - pysocks=1.7.1=py37_1
  - python=3.7.10=h12debd9_4
  - python-dateutil=2.8.1=pyhd3eb1b0_0
  - pytz=2021.1=pyhd3eb1b0_0
  - pyzmq=20.0.0=py37h2531618_1
  - readline=8.1=h27cfd23_0
  - requests=2.25.1=pyhd3eb1b0_0
  - send2trash=1.5.0=pyhd3eb1b0_1
  - setuptools=52.0.0=py37h06a4308_0
  - six=1.15.0=py37h06a4308_0
  - sniffio=1.2.0=py37h06a4308_1
  - sqlite=3.35.4=hdfb4753_0
  - terminado=0.9.4=py37h06a4308_0
  - testpath=0.4.4=pyhd3eb1b0_0
  - tk=8.6.10=hbc83047_0
  - tornado=6.1=py37h27cfd23_0
  - traitlets=5.0.5=pyhd3eb1b0_0
  - typing_extensions=3.7.4.3=pyha847dfd_0
  - urllib3=1.26.4=pyhd3eb1b0_0
  - wcwidth=0.2.5=py_0
  - webencodings=0.5.1=py37_1
  - wheel=0.36.2=pyhd3eb1b0_0
  - xz=5.2.5=h7b6447c_0
  - zeromq=4.3.4=h2531618_0
  - zipp=3.4.1=pyhd3eb1b0_0
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.4.9=haebb681_0
  - pip:
    - absl-py==0.13.0
    - aiohttp==3.7.4.post0
    - alembic==1.4.1
    - async-timeout==3.0.1
    - cached-property==1.5.2
    - cachetools==4.2.2
    - click==8.0.1
    - clodsa==1.2.44
    - cloudpickle==1.6.0
    - commentjson==0.9.0
    - cycler==0.10.0
    - cython==0.29.23
    - databricks-cli==0.14.3
    - dataclasses==0.6
    - docker==5.0.0
    - flask==2.0.1
    - fsspec==2021.6.0
    - future==0.18.2
    - gitdb==4.0.7
    - gitpython==3.1.17
    - google-auth==1.31.0
    - google-auth-oauthlib==0.4.4
    - greenlet==1.1.0
    - grpcio==1.38.0
    - gunicorn==20.1.0
    - h5py
    - imutils==0.5.4
    - imageio
    - itsdangerous==2.0.1
    - joblib==1.0.1
    - keras==2.6.0
    - kiwisolver==1.3.1
    - lark-parser==0.7.8
    - mahotas==1.4.11
    - mako==1.1.4
    - markdown==3.3.4
    - matplotlib==3.4.2
    - mlflow==1.14.1
    - multidict==5.1.0
    - oauthlib==3.1.1
    - opencv-python==4.5.2.54
    - pandas==1.2.4
    - progressbar2==3.53.3
    - prometheus-flask-exporter==0.18.2
    - protobuf==3.17.3
    - pyasn1==0.4.8
    - pyasn1-modules==0.2.8
    - pydeprecate==0.3.0
    - python-editor==1.0.4
    - python-utils==2.5.6
    - pytorch-lightning==1.3.0
    - pyyaml==5.4.1
    - querystring-parser==1.2.4
    - requests-oauthlib==1.3.0
    - rsa==4.7.2
    - scikit-learn==1.0
    - scipy==1.6.3
    - scikit-image
    - smmap==4.0.0
    - sqlalchemy==1.4.18
    - sqlparse==0.4.1
    - tabulate==0.8.9
    - tensorboard
    - tensorboard-data-server==0.6.1
    - tensorboard-plugin-wit==1.8.0
    - threadpoolctl==2.2.0
    - tensorflow==2.6.0
    - -f https://download.pytorch.org/whl/cu110/torch_stable.html torch==1.7.0+cu110 
    - torchaudio==0.7.0
    - torchmetrics==0.3.2
    - torchvision==0.8.1+cu110
    - tqdm==4.61.1
    - websocket-client==1.1.0
    - werkzeug==2.0.1
    - yarl==1.6.3
prefix: /home/madan/anaconda3/envs/mlflow-25752a33b9fc08fbbb89d5b70379f78c5cd031a9