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Commit e1fabc7d authored by Mgr. Dmytro Mishkin's avatar Mgr. Dmytro Mishkin
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pin versions in the env

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README.md
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− 4
View file @ e1fabc7d
......@@ -40,8 +40,8 @@ If way above does not work for you (e.g. you are on Windows), try the following
```bash
conda create --name mpv-assignments-cpu-only python=3.6
conda activate mpv-assignments-cpu-only
conda install pytorch torchvision cpuonly -c pytorch
pip install kornia tqdm notebook matplotlib opencv-contrib-python seaborn tensorboard tensorboardX
conda install pytorch==1.4.0 torchvision==0.5.0 cpuonly -c pytorch
pip install kornia==0.2.2 tqdm notebook matplotlib opencv-contrib-python seaborn tensorboard tensorboardX
conda install -c conda-forge widgetsnbextension
conda install -c conda-forge ipywidgets
```
......@@ -51,8 +51,8 @@ And following for GPU:
```bash
conda create --name mpv-assignments-gpu python=3.6
conda activate mpv-assignments-gpu
conda install pytorch torchvision cudatoolkit=10.1 -c pytorch
pip install kornia tqdm notebook matplotlib opencv-contrib-python seaborn tensorboard tensorboardX
conda install pytorch==1.4.0 torchvision==0.5.0 cudatoolkit=10.1 -c pytorch
pip install kornia==0.2.2 tqdm notebook matplotlib opencv-contrib-python seaborn tensorboard tensorboardX
conda install -c conda-forge widgetsnbextension
conda install -c conda-forge ipywidgets
```
......
conda_env_yaml/environment-cpu.yml
+ 125
− 110
View file @ e1fabc7d
......@@ -4,123 +4,138 @@ channels:
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1
- attrs=19.3.0
- backcall=0.1.0
- blas=1.0
- bleach=3.1.4
- ca-certificates=2020.4.5.1
- certifi=2020.4.5.1
- cpuonly=1.0
- decorator=4.4.2
- defusedxml=0.6.0
- entrypoints=0.3
- freetype=2.9.1
- importlib-metadata=1.6.0
- importlib_metadata=1.6.0
- intel-openmp=2020.0
- ipykernel=5.2.1
- ipython=7.13.0
- ipython_genutils=0.2.0
- ipywidgets=7.5.1
- jedi=0.17.0
- jinja2=2.11.2
- jpeg=9b
- jsonschema=3.2.0
- jupyter_client=6.1.3
- jupyter_core=4.6.3
- ld_impl_linux-64=2.33.1
- libedit=3.1.20181209
- libffi=3.2.1
- libgcc-ng=9.1.0
- libgfortran-ng=7.3.0
- libpng=1.6.37
- libsodium=1.0.17
- libstdcxx-ng=9.1.0
- libtiff=4.1.0
- markupsafe=1.1.1
- mistune=0.8.4
- mkl=2020.0
- mkl-service=2.3.0
- mkl_fft=1.0.15
- mkl_random=1.1.0
- nbconvert=5.6.1
- nbformat=5.0.6
- ncurses=6.2
- ninja=1.9.0
- notebook=6.0.3
- numpy=1.18.1
- numpy-base=1.18.1
- olefile=0.46
- openssl=1.1.1f
- pandoc=2.9.2.1
- parso=0.7.0
- pexpect=4.8.0
- pickleshare=0.7.5
- pillow=7.0.0
- pip=20.0.2
- prometheus_client=0.7.1
- prompt-toolkit=3.0.5
- ptyprocess=0.6.0
- pygments=2.6.1
- pyrsistent=0.16.0
- python=3.6.10
- python-dateutil=2.8.1
- python_abi=3.6
- pytorch=1.4.0
- readline=8.0
- send2trash=1.5.0
- setuptools=46.1.3
- six=1.14.0
- sqlite=3.31.1
- testpath=0.4.4
- tk=8.6.8
- torchvision=0.5.0
- tornado=6.0.4
- traitlets=4.3.3
- wcwidth=0.1.9
- wheel=0.34.2
- widgetsnbextension=3.5.1
- xz=5.2.5
- zeromq=4.3.2
- zipp=3.1.0
- zlib=1.2.11
- zstd=1.3.7
- _libgcc_mutex=0.1=main
- attrs=20.3.0=pyhd3deb0d_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.1=py_0
- blas=1.0=mkl
- bleach=3.3.0=pyh44b312d_0
- ca-certificates=2020.12.5=ha878542_0
- certifi=2020.12.5=py36h5fab9bb_1
- cpuonly=1.0=0
- decorator=4.4.2=py_0
- defusedxml=0.7.1=pyhd8ed1ab_0
- entrypoints=0.3=pyhd8ed1ab_1003
- freetype=2.10.4=h5ab3b9f_0
- importlib-metadata=3.7.3=py36h5fab9bb_0
- intel-openmp=2020.2=254
- ipykernel=5.5.0=py36he448a4c_1
- ipython_genutils=0.2.0=py_1
- ipywidgets=7.6.3=pyhd3deb0d_0
- jinja2=2.11.3=pyh44b312d_0
- jpeg=9b=h024ee3a_2
- jsonschema=3.2.0=pyhd8ed1ab_3
- jupyter_client=6.1.12=pyhd8ed1ab_0
- jupyter_core=4.7.1=py36h5fab9bb_0
- jupyterlab_widgets=1.0.0=pyhd8ed1ab_1
- lcms2=2.11=h396b838_0
- ld_impl_linux-64=2.33.1=h53a641e_7
- libffi=3.3=he6710b0_2
- libgcc-ng=9.1.0=hdf63c60_0
- libpng=1.6.37=hbc83047_0
- libsodium=1.0.18=h36c2ea0_1
- libstdcxx-ng=9.1.0=hdf63c60_0
- libtiff=4.2.0=h85742a9_0
- libwebp-base=1.2.0=h27cfd23_0
- lz4-c=1.9.3=h2531618_0
- markupsafe=1.1.1=py36he6145b8_2
- mistune=0.8.4=py36h1d69622_1002
- mkl=2020.2=256
- mkl-service=2.3.0=py36he8ac12f_0
- mkl_fft=1.3.0=py36h54f3939_0
- mkl_random=1.1.1=py36h0573a6f_0
- nbformat=5.1.2=pyhd8ed1ab_1
- ncurses=6.2=he6710b0_1
- ninja=1.10.2=py36hff7bd54_0
- numpy=1.19.2=py36h54aff64_0
- numpy-base=1.19.2=py36hfa32c7d_0
- olefile=0.46=py36_0
- openssl=1.1.1j=h27cfd23_0
- packaging=20.9=pyh44b312d_0
- pandoc=2.12=h7f98852_0
- pexpect=4.8.0=pyh9f0ad1d_2
- pickleshare=0.7.5=py_1003
- pillow=8.1.2=py36he98fc37_0
- pip=21.0.1=py36h06a4308_0
- prometheus_client=0.9.0=pyhd3deb0d_0
- prompt_toolkit=1.0.15=py_1
- ptyprocess=0.7.0=pyhd3deb0d_0
- pygments=2.8.1=pyhd8ed1ab_0
- pyparsing=2.4.7=pyh9f0ad1d_0
- pyrsistent=0.17.3=py36h1d69622_1
- python=3.6.13=hdb3f193_0
- python-dateutil=2.8.1=py_0
- python_abi=3.6=1_cp36m
- pytorch=1.4.0=py3.6_cpu_0
- readline=8.1=h27cfd23_0
- send2trash=1.5.0=py_0
- setuptools=52.0.0=py36h06a4308_0
- simplegeneric=0.8.1=py_1
- six=1.15.0=py36h06a4308_0
- sqlite=3.35.2=hdfb4753_0
- terminado=0.9.3=py36h5fab9bb_0
- testpath=0.4.4=py_0
- tk=8.6.10=hbc83047_0
- torchvision=0.5.0=py36_cpu
- tornado=6.1=py36h1d69622_0
- traitlets=4.3.3=py36h9f0ad1d_1
- typing_extensions=3.7.4.3=py_0
- wcwidth=0.2.5=pyh9f0ad1d_2
- wheel=0.36.2=pyhd3eb1b0_0
- widgetsnbextension=3.5.1=py36h5fab9bb_4
- xz=5.2.5=h7b6447c_0
- zeromq=4.3.4=h2531618_0
- zipp=3.4.1=pyhd8ed1ab_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.5=h9ceee32_0
- pip:
- absl-py==0.9.0
- cachetools==4.1.0
- chardet==3.0.4
- absl-py==0.12.0
- argon2-cffi==20.1.0
- async-generator==1.10
- backcall==0.2.0
- cachetools==4.2.1
- cffi==1.14.5
- chardet==4.0.0
- cycler==0.10.0
- google-auth==1.14.0
- google-auth-oauthlib==0.4.1
- grpcio==1.28.1
- idna==2.9
- google-auth==1.28.0
- google-auth-oauthlib==0.4.3
- grpcio==1.36.1
- idna==2.10
- ipython==7.16.1
- ipython-genutils==0.2.0
- kiwisolver==1.2.0
- kornia==0.2.1
- markdown==3.2.1
- matplotlib==3.2.1
- jedi==0.18.0
- jupyterlab-pygments==0.1.2
- kiwisolver==1.3.1
- kornia==0.2.2
- markdown==3.3.4
- matplotlib==3.3.4
- nbclient==0.5.3
- nbconvert==6.0.7
- nest-asyncio==1.5.1
- notebook==6.3.0
- oauthlib==3.1.0
- opencv-contrib-python==4.2.0.34
- pandas==1.0.3
- pandocfilters==1.4.2
- protobuf==3.11.3
- opencv-contrib-python==4.5.1.48
- pandas==1.1.5
- pandocfilters==1.4.3
- parso==0.8.1
- prompt-toolkit==3.0.18
- protobuf==3.15.6
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pyparsing==2.4.7
- pytz==2019.3
- pyzmq==19.0.0
- requests==2.23.0
- pycparser==2.20
- pytz==2021.1
- pyzmq==22.0.3
- requests==2.25.1
- requests-oauthlib==1.3.0
- rsa==4.0
- scipy==1.4.1
- seaborn==0.10.0
- tensorboard==2.2.1
- tensorboard-plugin-wit==1.6.0.post3
- tensorboardx==2.0
- terminado==0.8.3
- tqdm==4.45.0
- urllib3==1.25.9
- rsa==4.7.2
- scipy==1.5.4
- seaborn==0.11.1
- tensorboard==2.4.1
- tensorboard-plugin-wit==1.8.0
- tensorboardx==2.1
- tqdm==4.59.0
- urllib3==1.26.4
- webencodings==0.5.1
- werkzeug==1.0.1
prefix: /home/old-ufo/anaconda3/envs/mpv-assignments-cpu-only
conda_env_yaml/environment-gpu.yml
+ 125
− 110
View file @ e1fabc7d
......@@ -4,123 +4,138 @@ channels:
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1
- attrs=19.3.0
- backcall=0.1.0
- blas=1.0
- bleach=3.1.4
- ca-certificates=2020.4.5.1
- certifi=2020.4.5.1
- cudatoolkit=10.1.243
- decorator=4.4.2
- defusedxml=0.6.0
- entrypoints=0.3
- freetype=2.9.1
- importlib-metadata=1.6.0
- importlib_metadata=1.6.0
- intel-openmp=2020.0
- ipykernel=5.2.1
- ipython=7.13.0
- ipython_genutils=0.2.0
- ipywidgets=7.5.1
- jedi=0.17.0
- jinja2=2.11.2
- jpeg=9b
- jsonschema=3.2.0
- jupyter_client=6.1.3
- jupyter_core=4.6.3
- ld_impl_linux-64=2.33.1
- libedit=3.1.20181209
- libffi=3.2.1
- libgcc-ng=9.1.0
- libgfortran-ng=7.3.0
- libpng=1.6.37
- libsodium=1.0.17
- libstdcxx-ng=9.1.0
- libtiff=4.1.0
- markupsafe=1.1.1
- mistune=0.8.4
- mkl=2020.0
- mkl-service=2.3.0
- mkl_fft=1.0.15
- mkl_random=1.1.0
- nbconvert=5.6.1
- nbformat=5.0.6
- ncurses=6.2
- ninja=1.9.0
- notebook=6.0.3
- numpy=1.18.1
- numpy-base=1.18.1
- olefile=0.46
- openssl=1.1.1g
- pandoc=2.9.2.1
- parso=0.7.0
- pexpect=4.8.0
- pickleshare=0.7.5
- pillow=7.0.0
- pip=20.0.2
- prometheus_client=0.7.1
- prompt-toolkit=3.0.5
- ptyprocess=0.6.0
- pygments=2.6.1
- pyrsistent=0.16.0
- python=3.6.10
- python-dateutil=2.8.1
- python_abi=3.6
- pytorch=1.4.0
- readline=8.0
- send2trash=1.5.0
- setuptools=46.1.3
- six=1.14.0
- sqlite=3.31.1
- testpath=0.4.4
- tk=8.6.8
- torchvision=0.5.0
- tornado=6.0.4
- traitlets=4.3.3
- wcwidth=0.1.9
- wheel=0.34.2
- widgetsnbextension=3.5.1
- xz=5.2.5
- zeromq=4.3.2
- zipp=3.1.0
- zlib=1.2.11
- zstd=1.3.7
- _libgcc_mutex=0.1=main
- attrs=20.3.0=pyhd3deb0d_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.1=py_0
- blas=1.0=mkl
- bleach=3.3.0=pyh44b312d_0
- ca-certificates=2020.12.5=ha878542_0
- certifi=2020.12.5=py36h5fab9bb_1
- cudatoolkit=10.1.243=h6bb024c_0
- decorator=4.4.2=py_0
- defusedxml=0.7.1=pyhd8ed1ab_0
- entrypoints=0.3=pyhd8ed1ab_1003
- freetype=2.10.4=h5ab3b9f_0
- importlib-metadata=3.7.3=py36h5fab9bb_0
- intel-openmp=2020.2=254
- ipykernel=5.5.0=py36he448a4c_1
- ipython_genutils=0.2.0=py_1
- ipywidgets=7.6.3=pyhd3deb0d_0
- jinja2=2.11.3=pyh44b312d_0
- jpeg=9b=h024ee3a_2
- jsonschema=3.2.0=pyhd8ed1ab_3
- jupyter_client=6.1.12=pyhd8ed1ab_0
- jupyter_core=4.7.1=py36h5fab9bb_0
- jupyterlab_widgets=1.0.0=pyhd8ed1ab_1
- lcms2=2.11=h396b838_0
- ld_impl_linux-64=2.33.1=h53a641e_7
- libffi=3.3=he6710b0_2
- libgcc-ng=9.1.0=hdf63c60_0
- libpng=1.6.37=hbc83047_0
- libsodium=1.0.18=h36c2ea0_1
- libstdcxx-ng=9.1.0=hdf63c60_0
- libtiff=4.2.0=h85742a9_0
- libwebp-base=1.2.0=h27cfd23_0
- lz4-c=1.9.3=h2531618_0
- markupsafe=1.1.1=py36he6145b8_2
- mistune=0.8.4=py36h1d69622_1002
- mkl=2020.2=256
- mkl-service=2.3.0=py36he8ac12f_0
- mkl_fft=1.3.0=py36h54f3939_0
- mkl_random=1.1.1=py36h0573a6f_0
- nbformat=5.1.2=pyhd8ed1ab_1
- ncurses=6.2=he6710b0_1
- ninja=1.10.2=py36hff7bd54_0
- numpy=1.19.2=py36h54aff64_0
- numpy-base=1.19.2=py36hfa32c7d_0
- olefile=0.46=py36_0
- openssl=1.1.1j=h27cfd23_0
- packaging=20.9=pyh44b312d_0
- pandoc=2.12=h7f98852_0
- pexpect=4.8.0=pyh9f0ad1d_2
- pickleshare=0.7.5=py_1003
- pillow=8.1.2=py36he98fc37_0
- pip=21.0.1=py36h06a4308_0
- prometheus_client=0.9.0=pyhd3deb0d_0
- prompt_toolkit=1.0.15=py_1
- ptyprocess=0.7.0=pyhd3deb0d_0
- pygments=2.8.1=pyhd8ed1ab_0
- pyparsing=2.4.7=pyh9f0ad1d_0
- pyrsistent=0.17.3=py36h1d69622_1
- python=3.6.13=hdb3f193_0
- python-dateutil=2.8.1=py_0
- python_abi=3.6=1_cp36m
- pytorch=1.4.0=py3.6_cuda10.1.243_cudnn7.6.3_0
- readline=8.1=h27cfd23_0
- send2trash=1.5.0=py_0
- setuptools=52.0.0=py36h06a4308_0
- simplegeneric=0.8.1=py_1
- six=1.15.0=py36h06a4308_0
- sqlite=3.35.2=hdfb4753_0
- terminado=0.9.3=py36h5fab9bb_0
- testpath=0.4.4=py_0
- tk=8.6.10=hbc83047_0
- torchvision=0.5.0=py36_cu101
- tornado=6.1=py36h1d69622_0
- traitlets=4.3.3=py36h9f0ad1d_1
- typing_extensions=3.7.4.3=py_0
- wcwidth=0.2.5=pyh9f0ad1d_2
- wheel=0.36.2=pyhd3eb1b0_0
- widgetsnbextension=3.5.1=py36h5fab9bb_4
- xz=5.2.5=h7b6447c_0
- zeromq=4.3.4=h2531618_0
- zipp=3.4.1=pyhd8ed1ab_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.5=h9ceee32_0
- pip:
- absl-py==0.9.0
- cachetools==4.1.0
- chardet==3.0.4
- absl-py==0.12.0
- argon2-cffi==20.1.0
- async-generator==1.10
- backcall==0.2.0
- cachetools==4.2.1
- cffi==1.14.5
- chardet==4.0.0
- cycler==0.10.0
- google-auth==1.14.0
- google-auth-oauthlib==0.4.1
- grpcio==1.28.1
- idna==2.9
- google-auth==1.28.0
- google-auth-oauthlib==0.4.3
- grpcio==1.36.1
- idna==2.10
- ipython==7.16.1
- ipython-genutils==0.2.0
- kiwisolver==1.2.0
- kornia==0.2.1
- markdown==3.2.1
- matplotlib==3.2.1
- jedi==0.18.0
- jupyterlab-pygments==0.1.2
- kiwisolver==1.3.1
- kornia==0.2.2
- markdown==3.3.4
- matplotlib==3.3.4
- nbclient==0.5.3
- nbconvert==6.0.7
- nest-asyncio==1.5.1
- notebook==6.3.0
- oauthlib==3.1.0
- opencv-contrib-python==4.2.0.34
- pandas==1.0.3
- pandocfilters==1.4.2
- protobuf==3.11.3
- opencv-contrib-python==4.5.1.48
- pandas==1.1.5
- pandocfilters==1.4.3
- parso==0.8.1
- prompt-toolkit==3.0.18
- protobuf==3.15.6
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pyparsing==2.4.7
- pytz==2019.3
- pyzmq==19.0.0
- requests==2.23.0
- pycparser==2.20
- pytz==2021.1
- pyzmq==22.0.3
- requests==2.25.1
- requests-oauthlib==1.3.0
- rsa==4.0
- scipy==1.4.1
- seaborn==0.10.0
- tensorboard==2.2.1
- tensorboard-plugin-wit==1.6.0.post3
- tensorboardx==2.0
- terminado==0.8.3
- tqdm==4.45.0
- urllib3==1.25.9
- rsa==4.7.2
- scipy==1.5.4
- seaborn==0.11.1
- tensorboard==2.4.1
- tensorboard-plugin-wit==1.8.0
- tensorboardx==2.1
- tqdm==4.59.0
- urllib3==1.26.4
- webencodings==0.5.1
- werkzeug==1.0.1
prefix: /home/old-ufo/anaconda3/envs/mpv-assignments-gpu
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