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conflicts among packages when installing a conda environment

See original GitHub issue

Hi! Congrats for the amazing work and thank you very much for sharing it publicly. I encounter an issue while creating a conda environment to install ffcv.

I execute the command from the repo, on a linux machine with conda 4.10.3, and get the following issue (click on the toggle list to see the conda output) Would you have any recommendation on how to solve these conflicts?

Thanks!

Command to create a conda environment:

conda create -y -n ffcv python=3.9 cupy pkg-config compilers libjpeg-turbo opencv pytorch torchvision cudatoolkit=11.3 numba -c pytorch -c conda-forge

Click here to see the conda output

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package libuuid conflicts for:
python=3.9 -> libuuid[version='>=2.32.1,<3.0a0']
cupy -> python[version='>=3.10,<3.11.0a0'] -> libuuid[version='>=1.0.3,<2.0a0|>=2.32.1,<3.0a0']
numba -> python[version='>=3.9,<3.10.0a0'] -> libuuid[version='>=1.0.3,<2.0a0|>=2.32.1,<3.0a0']
pytorch -> python[version='>=3.9,<3.10.0a0'] -> libuuid[version='>=2.32.1,<3.0a0']
torchvision -> python[version='>=3.9,<3.10.0a0'] -> libuuid[version='>=1.0.3,<2.0a0|>=2.32.1,<3.0a0']

Package libgfortran-ng conflicts for:
opencv -> hdf5[version='>=1.10.5,<1.10.6.0a0'] -> libgfortran-ng[version='>=4.9|>=7,<8.0a0|>=7.2.0,<8.0a0']
numba -> numpy[version='>=1.18.5,<2.0a0'] -> libgfortran-ng[version='>=4.9|>=7,<8.0a0|>=7.2.0,<8.0a0']
pytorch -> blas=[build=mkl] -> libgfortran-ng[version='>=4.9|>=7,<8.0a0|>=7.2.0,<8.0a0']
compilers -> fortran-compiler==1.2.0=h1990efc_0 -> libgfortran-ng[version='>=7,<8.0a0']
torchvision -> numpy[version='>=1.11'] -> libgfortran-ng[version='>=4.9|>=7,<8.0a0|>=7.2.0,<8.0a0']
cupy -> numpy[version='>=1.18'] -> libgfortran-ng[version='>=4.9|>=7,<8.0a0|>=7.2.0,<8.0a0']

Package python_abi conflicts for:
cupy -> fastrlock[version='>=0.3'] -> python_abi=2.7[build=*_cp27mu]
cupy -> python_abi[version='3.10.*|3.7|3.7.*|3.9.*|3.8.*|3.6.*|3.6',build='*_cp38|*_cp39|*_cp37m|*_pypy37_pp73|*_cp310|*_cp36m|*_pypy36_pp73']

Package libgcc-ng conflicts for:
torchvision -> libgcc-ng[version='>=5.4.0|>=7.3.0|>=7.5.0']
opencv -> libopencv==4.5.5=py38hd60e7aa_0 -> libgcc-ng[version='>=7.5.0|>=9.3.0|>=9.4.0']
torchvision -> cudatoolkit[version='>=11.1,<11.2'] -> libgcc-ng[version='>=3.0|>=4.9|>=7.2.0|>=9.3.0|>=9.4.0']
opencv -> libgcc-ng[version='>=4.9|>=7.3.0|>=7.2.0']
numba -> libgcc-ng[version='>=4.9|>=7.3.0|>=7.5.0|>=9.3.0|>=9.4.0|>=7.2.0']
compilers -> c-compiler==1.2.0=h7f98852_0 -> libgcc-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']
python=3.9 -> zlib[version='>=1.2.11,<1.3.0a0'] -> libgcc-ng[version='>=4.9|>=7.2.0']
pytorch -> blas=[build=mkl] -> libgcc-ng[version='>=3.0|>=4.9|>=9.3.0|>=9.4.0|>=7.2.0']
cupy -> libgcc-ng[version='>=5.4.0|>=7.3.0|>=7.5.0|>=9.4.0']
cudatoolkit=11.3 -> libgcc-ng[version='>=9.3.0|>=9.4.0']
libjpeg-turbo -> libgcc-ng[version='>=4.9|>=7.3.0|>=7.5.0|>=9.3.0|>=9.4.0']
pkg-config -> libgcc-ng[version='>=4.9|>=7.3.0|>=7.5.0|>=7.2.0']
cupy -> cudatoolkit[version='>=11.2,<12'] -> libgcc-ng[version='>=3.0|>=4.9|>=9.3.0|>=7.2.0']
pytorch -> libgcc-ng[version='>=5.4.0|>=7.3.0|>=7.5.0']
python=3.9 -> libgcc-ng[version='>=7.3.0|>=7.5.0|>=9.3.0|>=9.4.0']

Package libprotobuf conflicts for:
opencv -> libprotobuf[version='>=3.4.1,<3.5.0a0|>=3.5.2,<3.6.0a0']
opencv -> libopencv==4.5.5=py38hd60e7aa_0 -> libprotobuf[version='>=3.15.6,<3.16.0a0|>=3.15.8,<3.16.0a0|>=3.16.0,<3.17.0a0|>=3.18.1,<3.19.0a0|>=3.19.1,<3.20.0a0|>=3.19.3,<3.20.0a0']

Package libstdcxx-ng conflicts for:
opencv -> libopencv==4.5.5=py38hd60e7aa_0 -> libstdcxx-ng[version='>=7.5.0|>=9.3.0|>=9.4.0']
opencv -> libstdcxx-ng[version='>=4.9|>=7.3.0|>=7.2.0']
cudatoolkit=11.3 -> libstdcxx-ng[version='>=9.3.0|>=9.4.0']
cupy -> cudatoolkit[version='>=11.2,<12'] -> libstdcxx-ng[version='>=3.4|>=4.9|>=9.3.0|>=7.2.0']
pytorch -> libstdcxx-ng[version='>=5.4.0|>=7.3.0|>=7.5.0']
torchvision -> libstdcxx-ng[version='>=5.4.0|>=7.3.0|>=7.5.0']
python=3.9 -> libffi[version='>=3.4.2,<3.5.0a0'] -> libstdcxx-ng[version='>=4.9|>=9.4.0|>=7.2.0']
torchvision -> cudatoolkit[version='>=11.1,<11.2'] -> libstdcxx-ng[version='>=3.4|>=4.9|>=9.3.0|>=9.4.0|>=7.2.0']
numba -> libstdcxx-ng[version='>=4.9|>=7.3.0|>=7.5.0|>=9.3.0|>=9.4.0|>=7.2.0']
cupy -> libstdcxx-ng[version='>=5.4.0|>=7.3.0|>=7.5.0|>=9.4.0']
pytorch -> cudatoolkit[version='>=11.3,<11.4'] -> libstdcxx-ng[version='>=3.4|>=4.9|>=9.3.0|>=9.4.0|>=7.2.0']
python=3.9 -> libstdcxx-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']
compilers -> cxx-compiler==1.2.0=h4bd325d_0 -> libstdcxx-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']

Package zlib conflicts for:
pytorch -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='1.2.*|1.2.11|>=1.2.11,<1.3.0a0|1.2.8|1.2.11.*']
numba -> llvmlite[version='>=0.38.0,<0.39.0a0'] -> zlib[version='1.2.*|1.2.11|>=1.2.11,<1.3.0a0|1.2.8|1.2.11.*']
cupy -> python[version='>=3.7,<3.8.0a0'] -> zlib[version='1.2.*|1.2.11|>=1.2.11,<1.3.0a0|1.2.8|1.2.11.*']
opencv -> python[version='>=3.6,<3.7.0a0'] -> zlib[version='1.2.11.*|1.2.8']
pkg-config -> zlib[version='1.2.*|1.2.11|>=1.2.11,<1.3.0a0']
opencv -> zlib[version='1.2.*|1.2.11|>=1.2.11,<1.3.0a0']
torchvision -> ffmpeg[version='>=4.2'] -> zlib[version='1.2.*|1.2.11|>=1.2.11,<1.3.0a0|1.2.8|1.2.11.*']
python=3.9 -> zlib[version='>=1.2.11,<1.3.0a0']

Package libgfortran5 conflicts for:
pytorch -> blas=[build=mkl] -> libgfortran5[version='>=9.3.0|>=9.4.0']
opencv -> hdf5[version='>=1.10.5,<1.10.6.0a0'] -> libgfortran5[version='>=9.3.0']
compilers -> fortran-compiler==1.2.0=h1990efc_0 -> libgfortran5[version='>=9.3.0']

Package freetype conflicts for:
opencv -> freetype[version='>=2.8,<2.9.0a0|>=2.9.1,<3.0a0']
opencv -> libopencv==4.5.5=py38hd60e7aa_0 -> freetype[version='2.6.*|2.7|2.7.*|2.8.1|>=2.10.4,<3.0a0|>=2.8.1,<2.9.0a0|>=2.10.2,<3.0a0|>=2.10.3,<3.0a0|>=2.8.1,<2.8.2.0a0|2.8.1.*']

Package cudnn conflicts for:
pytorch -> cudnn[version='5.1.*|6.0.*|>=7.0.0,<=8.0a0|>=7.0.5,<=8.0a0|>=7.1.0,<=8.0a0|>=7.1.3,<8.0a0|>=7.3.0,<=8.0a0|>=7.6,<8.0a0|>=7.6.5.32,<8.0a0|>=8.2.1.32,<9.0a0|>=8.1.0.77,<9.0a0|>=7.6.5,<8.0a0|>=7.6.4,<8.0a0|>=7.3.1,<8.0a0|>=7.1.2,<
=8.0a0']
torchvision -> pytorch==1.7.1 -> cudnn[version='5.1.*|6.0.*|>=7.0.0,<=8.0a0|>=7.0.5,<=8.0a0|>=7.1.0,<=8.0a0|>=7.1.3,<8.0a0|>=7.3.0,<=8.0a0|>=7.6,<8.0a0|>=7.6.5,<8.0a0|>=7.6.4,<8.0a0|>=7.3.1,<8.0a0|>=7.1.2,<=8.0a0']
cupy -> cudnn[version='>=7.0.5,<=8.0a0|>=7.1.3,<8.0a0|>=7.3.1,<8.0a0|>=7.6,<8.0a0|>=7.6.5.32,<8.0a0|>=8.1.0.77,<9.0a0|>=8.0.5.39,<9.0a0|>=7.1.0,<=8.0a0|>=7.1.2,<=8.0a0']
torchvision -> cudnn[version='>=7.6.5.32,<8.0a0|>=8.2.1.32,<9.0a0|>=8.1.0.77,<9.0a0']

Package jpeg conflicts for:
opencv -> jpeg[version='9.*|>=9c,<10a|>=9b,<10a']
opencv -> libopencv==4.5.5=py38hd60e7aa_0 -> jpeg[version='9b|>=9d,<10a']

Package _libgcc_mutex conflicts for:
libjpeg-turbo -> libgcc-ng[version='>=9.4.0'] -> _libgcc_mutex[version='*|0.1',build='conda_forge|main|main']
numba -> libgcc-ng[version='>=9.4.0'] -> _libgcc_mutex[version='*|0.1',build='conda_forge|main|main']
python=3.9 -> libgcc-ng[version='>=9.4.0'] -> _libgcc_mutex[version='*|0.1',build='conda_forge|main|main']
cupy -> libgcc-ng[version='>=9.4.0'] -> _libgcc_mutex[version='*|0.1|0.1',build='conda_forge|main|main']
cudatoolkit=11.3 -> libgcc-ng[version='>=9.4.0'] -> _libgcc_mutex[version='*|0.1',build='conda_forge|main|main']
opencv -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1|0.1',build='conda_forge|main|main']
pkg-config -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1|0.1',build='conda_forge|main|main']
torchvision -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1|0.1',build='conda_forge|main|main']
pytorch -> _openmp_mutex[version='>=4.5'] -> _libgcc_mutex[version='*|0.1',build='conda_forge|main|main']

Package six conflicts for:
numba -> singledispatch -> six
torchvision -> six
pytorch -> mkl-service[version='>=2,<3.0a0'] -> six
cupy -> six[version='>=1.9|>=1.9.0']

Package cudatoolkit conflicts for:
torchvision -> cudatoolkit[version='10.2|10.2.*|11.0|11.0.*|11.1|11.1.*|>=10.0,<10.1|>=10.1,<10.2|>=10.2,<10.3|>=11.1,<11.2|>=11.3,<11.4|>=11.0,<11.1|>=9.2,<9.3|>=9.0,<9.1|>=11.2,<12.0a0|>=10.0.130,<10.1.0a0|>=9.2,<9.3.0a0|>=9.0,<9.1.0a0'
]
cudatoolkit=11.3
pytorch -> cudatoolkit[version='10.0.*|10.0|10.0.*|10.1|10.1.*|10.2|10.2.*|11.0|11.0.*|11.1|11.1.*|8.*|>=10.0,<10.1|>=10.1,<10.2|>=10.2,<10.3|>=11.1,<11.2|>=11.3,<11.4|>=11.0,<11.1|>=9.2,<9.3|>=9.0,<9.1|>=8.0,<8.1|9.*|>=11.2,<12|>=11.2,<1
2.0a0|9.2|9.2.*|>=10.1.243,<10.2.0a0|>=9.2,<9.3.0a0|>=10.0.130,<10.1.0a0|9.2.*|>=9.0,<9.1.0a0|>=8.0,<8.1.0a0|9.0.*|8.0.*|7.5.*']
pytorch -> cudnn[version='>=8.2.1.32,<9.0a0'] -> cudatoolkit[version='10.2.*|11.*']
torchvision -> pytorch==1.10.0 -> cudatoolkit[version='10.0.*|10.0|10.0.*|10.1|10.1.*|>=11.2,<12|9.2|9.2.*|>=10.1.243,<10.2.0a0|9.2.*|>=8.0,<8.1|>=8.0,<8.1.0a0|8.*|9.*|9.0.*|8.0.*|7.5.*|11.*|10.2.*']

Package libwebp conflicts for:
opencv -> libopencv==4.3.0=py36_0 -> libwebp[version='>=1.0.2,<1.1.0a0']
opencv -> libwebp[version='0.5.*|>=0.5.2,<0.6.0a0|>=1.0.0,<1.1.0a0']

Package ffmpeg conflicts for:
opencv -> ffmpeg[version='4.1.*|>=4.1.3,<4.2.0a0|>=4.1.1,<4.2.0a0|>=4.1,<4.2.0a0|>=4.0.2,<4.1.0a0|>=4.0.1,<4.1.0a0|>=3.2.3,<3.2.6|>=3.4,<3.5.0a0']
opencv -> libopencv==4.5.5=py38hd60e7aa_0 -> ffmpeg[version='>=4.2,<4.3.0a0|>=4.2.3,<4.3.0a0|>=4.3,<4.4.0a0|>=4.3.1,<4.4.0a0|>=4.3.1,<5.0a0|>=4.3.2,<5.0a0']

Package pypy3.7 conflicts for:
cupy -> python[version='>=3.7,<3.8.0a0'] -> pypy3.7[version='7.3.*|7.3.3.*|7.3.4.*|7.3.5.*|7.3.7.*']
cupy -> pypy3.7[version='>=7.3.3|>=7.3.4|>=7.3.5|>=7.3.7']

Package expat conflicts for:
opencv -> pypy3.6[version='>=7.3.3'] -> expat[version='>=2.2.10,<3.0.0a0|>=2.2.9,<3.0.0a0|>=2.2.5,<3.0.0a0|>=2.2.6,<3.0a0']
cupy -> pypy3.7[version='>=7.3.7'] -> expat[version='>=2.2.9,<3.0.0a0|>=2.3.0,<3.0a0|>=2.4.1,<3.0a0']

Package llvm-openmp conflicts for:
pytorch -> blas=[build=mkl] -> llvm-openmp[version='>=10.0.0|>=11.0.0|>=11.0.1|>=11.1.0|>=12.0.1|>=9.0.1']
numba -> _openmp_mutex[version='>=4.5'] -> llvm-openmp[version='>=9.0.1']

Package liblapacke conflicts for:
opencv -> liblapacke[version='>=3.8.0,<4.0.0a0']
opencv -> libopencv==4.5.5=py38hd60e7aa_0 -> liblapacke[version='>=3.8.0,<4.0a0']

Package python conflicts for:
python=3.9
pytorch -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0']
torchvision -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0']
opencv -> py-opencv==4.5.5=py38he5a9106_0 -> python[version='3.10.*|3.7.*|3.8.*|>=3.8,<3.9.0a0|>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|3.9.*']
numba -> python_abi=3.7[build=*_cp37m] -> python[version='3.10.*|3.4.*|3.7.*|3.9.*|3.8.*']
pytorch -> typing_extensions -> python[version='2.7.*|3.5.*|3.6.*|3.9.*|>=3.10,<3.11.0a0|>=3.5|>=3.6|>=3.7|>=3.6,<3.7|3.4.*|3.7.12|3.7.10|3.7.10|3.6.12|3.7.9|3.6.12|3.6.9|3.6.9|3.6.9|3.6.9|>=3|3.8.*|3.7.*',build='0_73_pypy|3_73_pypy|4_73_
pypy|5_73_pypy|5_73_pypy|0_73_pypy|0_73_pypy|1_73_pypy|2_73_pypy|1_73_pypy']
torchvision -> numpy[version='>=1.11'] -> python[version='2.7.*|3.5.*|3.6.*|>=3.10,<3.11.0a0|3.4.*|3.9.*|3.7.*|3.8.*']
numba -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0']
opencv -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.5,<3.6.0a0|3.4.*']

Package certifi conflicts for:
numba -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
pytorch -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
cupy -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']

Package libgfortran4 conflicts for:
pytorch -> blas=[build=mkl] -> libgfortran4[version='>=7.5.0']
opencv -> hdf5[version='>=1.10.5,<1.10.6.0a0'] -> libgfortran4[version='>=7.5.0']

Package x264 conflicts for:
torchvision -> ffmpeg[version='>=4.2'] -> x264[version='>=1!152.20180806,<1!153|>=1!161.3030,<1!162|>=1!157.20191217,<1!158']
opencv -> ffmpeg=4.1 -> x264[version='1!152.*|>=1!152.20180717,<1!153|>=1!152.20180806,<1!153|>=1!161.3030,<1!162|>=20180712,<20180713.0a0|>=20180712,<20190000|>=20180501,<20180502.0a0|>=1!157.20191217,<1!158']

Package numpy-base conflicts for:
pytorch -> numpy[version='>=1.19'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.
3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.
3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.
5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.
1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.
4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.
3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.
6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.
20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py37h2b20989_6|py27h2b20989_7|py36hdbf6ddf_7|py36h2b20989_7|py3
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py27h74e8950_10|py27h81de0dd_10|py36h81de0dd_10|py37h2f8d375_10|py27h2f8d375_10|py27h2f8d375_11|py27hde5b4d6_11|py37h2f8d375_12|py27h2f8d375_12|py36h2f8d375_12|py27hde5b4d6_12|py38hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py27h0ea5e3f_1|
py36h9be14a7_1|py27h9be14a7_1|py35h9be14a7_1|py36h2b20989_0|py27hdbf6ddf_0|py35hdbf6ddf_0|py36hdbf6ddf_0|py27hdbf6ddf_0|py35hdbf6ddf_0|py37h2b20989_1|py27hdbf6ddf_1|py27h2b20989_1|py36h2b20989_2|py36hdbf6ddf_2|py36h2b20989_3|py27h2b20989_
3|py27hdbf6ddf_3|py27hdbf6ddf_4|py37hdbf6ddf_4|py36hdbf6ddf_4|py35h2b20989_4|py35h2f8d375_4|py36h2f8d375_4|py27h2f8d375_4|py35h81de0dd_4|py37h81de0dd_4|py36h81de0dd_4|py38h2f8d375_4|py27hde5b4d6_5|py36h7cdd4dd_0|py35h7cdd4dd_0|py36h3dfced
4_0|py35h3dfced4_0|py37h3dfced4_0|py36h74e8950_0|py36h81de0dd_0|py36h81de0dd_1|py37h2f8d375_1|py37h2f8d375_0|py37h2f8d375_0|py36h81de0dd_0|py27hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py36hde5b4d6_0|py37h2f8d
375_1|py27h2f8d375_1|py37hde5b4d6_1|py27hde5b4d6_1|py36hde5b4d6_1|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py37hde5b4d6_1|py36hde5b4d6_1|py27hde5b4d6_1|py36h2f8d375_0|py27hde5b4d6_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f
8d375_0|py36hde5b4d6_0|py37hde5b4d6_0|py39h76555f2_1|py39h41b4c56_3|py38h41b4c56_3|py36hdc34a94_3|py39hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36h75fe3a5_0|py36h75fe3a5_0|py38hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h7d8b39e_0|py38h
e2ba247_0|py37h74d4b33_0|py39h74d4b33_0|py38h39b7dee_0|py39h39b7dee_0|py37h79a1101_0|py38h2b8c604_0|py310h79a1101_0|py310h2b8c604_0|py39h2b8c604_0|py37h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py37h39b7dee_0|py38h74d4b33_0|py39hfae3a4d_0|p
y37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38hfae3a4d_0|py39h7d8b39e_0|py38h34387ca_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py36hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37hfa32c7d_0|py37h75fe3a5_0|py36hfa32c7d_0|py38h75fe3a5_0
|py37hdc34a94_3|py38hdc34a94_3|py36h41b4c56_3|py37h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py38hde5b4d6_0|py38h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h2f8d375_0|py36h2f8d375
_0|py27hde5b4d6_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4
d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36h2f8d375_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py36h2f8d375_0|py37h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py36h2f8d375_0|py27h2f8
d375_0|py37h81de0dd_1|py27h81de0dd_1|py27h2f8d375_1|py36h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0|py35h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py35h2
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y27h2b20989_8|py36h2b20989_8|py36hdbf6ddf_7|py27hdbf6ddf_7|py36h2b20989_7|py27h2b20989_7|py37h2f8d375_0|py36h2f8d375_0|py37h2b20989_7|py35hdbf6ddf_7|py27hdbf6ddf_7|py36hdbf6ddf_6|py27hdbf6ddf_6|py37hdbf6ddf_6|py36h2b20989_6|py27h2b20989_6
']
opencv -> numpy[version='>=1.14.6,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11
.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14
.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14
.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15
.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15
.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16
.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16
.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1
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47_0|py38hfae3a4d_0|py39h7d8b39e_0|py38h34387ca_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py36hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37hfa32c7d_0|py37h75fe3a5_0|py36hfa32c7d_0|py38h75fe3a5_0|py37hdc34a94_3|py38hdc34a94_3|py36h41b
4c56_3|py37h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py38hde5b4d6_0|py38h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py27hde5b4d6_0|py37h2f8d375_0|py36h2
f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py27h2f8d375_1|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37
h2f8d375_0|py36h2f8d375_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py36h2f8d375_0|py37h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py36h2f8d375_0|py27h2f8d375_0|py37h81de0dd_1|py27h81de0dd_1|py
27h2f8d375_1|py36h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0|py35h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py35h2f8d375_0|py35h81de0dd_0|py37h81de0dd_0|
py27h81de0dd_0|py37h74e8950_0|py27h74e8950_0|py35h74e8950_0|py27h3dfced4_0|py37h7cdd4dd_0|py27h7cdd4dd_0|py36hde5b4d6_5|py37hde5b4d6_5|py27h2f8d375_5|py37h2f8d375_5|py36h2f8d375_5|py38hde5b4d6_4|py27h81de0dd_4|py37h2f8d375_4|py37hde5b4d6_
0|py37h2f8d375_0|py36hdbf6ddf_4|py37hdbf6ddf_4|py37h2b20989_4|py27h2b20989_4|py27h2b20989_3|py37h2b20989_3|py36h2b20989_3|py37h2b20989_2|py36h2b20989_2|py27h2b20989_2|py37hdbf6ddf_1|py36hdbf6ddf_0|py27h2b20989_0|py35hdbf6ddf_0|py36hdbf6dd
f_0|py35h2b20989_0|py36h2b20989_0|py27h2b20989_0|py35h0ea5e3f_1|py36h0ea5e3f_1|py36hde5b4d6_12|py37hde5b4d6_12|py27hde5b4d6_12|py27h2f8d375_12|py27hde5b4d6_11|py36h2f8d375_11|py27h2f8d375_11|py37h2f8d375_11|py35h2f8d375_10|py36h2f8d375_10
|py35h81de0dd_10|py36h81de0dd_10|py36h74e8950_10|py37h74e8950_10|py35h81de0dd_9|py36h74e8950_9|py37h74e8950_9|py37h81de0dd_9|py36h81de0dd_9|py35h3dfced4_9|py36h3dfced4_9|py37h3dfced4_9|py37h7cdd4dd_9|py35h7cdd4dd_9|py35h2b20989_8|py35hdbf
6ddf_8|py36hdbf6ddf_7|py27hdbf6ddf_7|py36h2b20989_7|py27h2b20989_7|py37h2b20989_7|py37h2b20989_7|py35h2b20989_7|py35hdbf6ddf_7|py36hdbf6ddf_7|py27h2b20989_7|py27hdbf6ddf_7|py27hdbf6ddf_6|py37hdbf6ddf_6|py37h2b20989_6|py36h2b20989_6|py27h2
b20989_6']
numba -> numpy[version='>=1.18.5,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.
3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.
3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.
5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.
1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.
4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.
3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.
6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.
20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py37h2b20989_6|py37hdbf6ddf_6|py36hdbf6ddf_6|py36hdbf6dd
f_7|py35h2b20989_7|py37hdbf6ddf_7|py37h2b20989_7|py36hdbf6ddf_7|py37hdbf6ddf_7|py37hdbf6ddf_8|py37h2b20989_8|py27hdbf6ddf_8|py36h7cdd4dd_9|py37h3dfced4_9|py27h3dfced4_9|py36h81de0dd_9|py27h74e8950_9|py37h74e8950_9|py27h81de0dd_9|py35h74e8
950_10|py27h74e8950_10|py36h74e8950_10|py27h81de0dd_10|py37h81de0dd_10|py36h81de0dd_10|py37h2f8d375_10|py27h2f8d375_10|py36hde5b4d6_11|py37hde5b4d6_11|py37h2f8d375_12|py36h2f8d375_12|py38hde5b4d6_12|py38h2f8d375_12|py27h0ea5e3f_1|py36h9be
14a7_1|py27h9be14a7_1|py35h9be14a7_1|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py35hdbf6ddf_0|py36h2b20989_0|py27hdbf6ddf_0|py35hdbf6ddf_0|py37h2b20989_1|py27hdbf6ddf_1|py27h2b20989_1|py36h2b20989_2|py27hdbf6ddf_2|py36hdbf6ddf_2|py36h2
b20989_3|py37hdbf6ddf_3|py27hdbf6ddf_3|py37h2b20989_4|py37hdbf6ddf_4|py35hdbf6ddf_4|py35h2f8d375_4|py36h2f8d375_4|py27h2f8d375_4|py37h81de0dd_4|py36h81de0dd_4|py38h2f8d375_4|py37hde5b4d6_5|py27h7cdd4dd_0|py36h7cdd4dd_0|py35h7cdd4dd_0|py37
h3dfced4_0|py27h74e8950_0|py36h74e8950_0|py37h74e8950_0|py36h81de0dd_0|py27h81de0dd_0|py35h81de0dd_0|py37h81de0dd_0|py27h81de0dd_0|py35h81de0dd_0|py37h81de0dd_1|py37h2f8d375_1|py36h2f8d375_0|py27h81de0dd_0|py36h81de0dd_0|py36hde5b4d6_0|py
37hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py37hde5b4d6_1|py27hde5b4d6_1|py36h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py27h2f8d375_1|py37h2f8d375_1|py37hde5b4d6_1|py27hde5b4d6_1|py37hde5b4d6_0|py27hde5b4d6_0|
py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py37h2f8d375_0|py36hde5b4d6_0|py36hde5b4d6_0|py37hde5b4d6_0|py39h76555f2_1|py39h41b4c56_3|py38h41b4c56_3|py36hdc34a94_3|py39hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36h75fe3a5_0|py36h75fe3a5_
0|py38hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h7d8b39e_0|py38he2ba247_0|py37h74d4b33_0|py39h74d4b33_0|py38h39b7dee_0|py39h39b7dee_0|py37h79a1101_0|py38h2b8c604_0|py310h79a1101_0|py310h2b8c604_0|py39h2b8c604_0|py37h2b8c604_0|py39h79a1
101_0|py38h79a1101_0|py37h39b7dee_0|py38h74d4b33_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38hfae3a4d_0|py39h7d8b39e_0|py38h34387ca_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py36hfa32c7d_0|py37h75fe3a5_0|py38h75
fe3a5_0|py37hfa32c7d_0|py37h75fe3a5_0|py36hfa32c7d_0|py38h75fe3a5_0|py37hdc34a94_3|py38hdc34a94_3|py36h41b4c56_3|py37h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py38hde5b4d6_0|py38h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37h
2f8d375_0|py37hde5b4d6_0|py37h2f8d375_0|py36h2f8d375_0|py36hde5b4d6_0|py37hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py36h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py3
6h2f8d375_0|py27h2f8d375_0|py27h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py36h2f8d375_1|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36hde5b4d6_1|py27h2f8d375_1|py27hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|p
y27hde5b4d6_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37h81de0dd_0|py36h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py36h81de0dd_1|py27h81de0dd_1|py27h2f8d375_1|py36h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0
|py35h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py35h2f8d375_0|py37h81de0dd_0|py35h74e8950_0|py35h3dfced4_0|py36h3dfced4_0|py27h3dfced4_0|py37h7cdd4dd_0|py36hde5b4d6_5|py27hde5b4d6_5|py27h2f8d375
_5|py37h2f8d375_5|py36h2f8d375_5|py38hde5b4d6_4|py35h81de0dd_4|py27h81de0dd_4|py37h2f8d375_4|py35h2b20989_4|py36hdbf6ddf_4|py36h2b20989_4|py27hdbf6ddf_4|py27h2b20989_4|py27h2b20989_3|py36hdbf6ddf_3|py37h2b20989_3|py37hdbf6ddf_2|py37h2b209
89_2|py27h2b20989_2|py37hdbf6ddf_1|py36hdbf6ddf_1|py36h2b20989_1|py36hdbf6ddf_0|py27h2b20989_0|py35h2b20989_0|py27h2b20989_0|py35h0ea5e3f_1|py36h0ea5e3f_1|py36hde5b4d6_12|py37hde5b4d6_12|py27hde5b4d6_12|py27h2f8d375_12|py27hde5b4d6_11|py3
6h2f8d375_11|py27h2f8d375_11|py37h2f8d375_11|py35h2f8d375_10|py36h2f8d375_10|py35h81de0dd_10|py37h74e8950_10|py35h81de0dd_9|py36h74e8950_9|py35h74e8950_9|py37h81de0dd_9|py35h3dfced4_9|py36h3dfced4_9|py37h7cdd4dd_9|py27h7cdd4dd_9|py35h7cdd
4dd_9|py35h2b20989_8|py35hdbf6ddf_8|py27h2b20989_8|py36h2b20989_8|py36hdbf6ddf_8|py27hdbf6ddf_7|py36h2b20989_7|py27h2b20989_7|py37h2b20989_7|py35hdbf6ddf_7|py36h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py27hdbf6ddf_6|py36h2b20989_6|py27h2b
20989_6']
torchvision -> numpy[version='>=1.11'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1
.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1
.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1
.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1
.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1
.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1
.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1
.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.
3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.17.0|1.17.0|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py37h2b20989_6|py27h2b20989_7|py36hdbf6ddf_7|py36h2b20989_7
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989_3|py27hdbf6ddf_3|py27hdbf6ddf_4|py37hdbf6ddf_4|py36hdbf6ddf_4|py35h2b20989_4|py35h2f8d375_4|py36h2f8d375_4|py27h2f8d375_4|py35h81de0dd_4|py37h81de0dd_4|py36h81de0dd_4|py38h2f8d375_4|py27hde5b4d6_5|py36h7cdd4dd_0|py35h7cdd4dd_0|py36h3d
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2f8d375_1|py27h2f8d375_1|py37hde5b4d6_1|py27hde5b4d6_1|py36hde5b4d6_1|py36hde5b4d6_0|py37h2f8d375_1|py36h2f8d375_1|py37hde5b4d6_1|py36hde5b4d6_1|py27hde5b4d6_1|py36h2f8d375_0|py27hde5b4d6_0|py36hde5b4d6_0|py37hde5b4d6_0|py36hde5b4d6_0|py3
7h2f8d375_0|py36hde5b4d6_0|py37hde5b4d6_0|py39h76555f2_1|py39h41b4c56_3|py38h41b4c56_3|py36hdc34a94_3|py39hdc34a94_3|py37hfa32c7d_0|py38hfa32c7d_0|py36h75fe3a5_0|py36h75fe3a5_0|py38hfa32c7d_0|py39h2ae0177_0|py37h7d8b39e_0|py38h7d8b39e_0|p
y38he2ba247_0|py37h74d4b33_0|py39h74d4b33_0|py38h39b7dee_0|py39h39b7dee_0|py37h79a1101_0|py38h2b8c604_0|py310h79a1101_0|py310h2b8c604_0|py39h2b8c604_0|py37h2b8c604_0|py39h79a1101_0|py38h79a1101_0|py37h39b7dee_0|py38h74d4b33_0|py39hfae3a4d
_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38hfae3a4d_0|py39h7d8b39e_0|py38h34387ca_0|py39h34387ca_0|py37h34387ca_0|py39h0f7b65f_0|py36hfa32c7d_0|py37h75fe3a5_0|py38h75fe3a5_0|py37hfa32c7d_0|py37h75fe3a5_0|py36hfa32c7d_0|py38h75fe3
a5_0|py37hdc34a94_3|py38hdc34a94_3|py36h41b4c56_3|py37h41b4c56_3|py39hfb011de_1|py27hde5b4d6_0|py27h2f8d375_0|py38hde5b4d6_0|py38h2f8d375_0|py36hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h2f8d375_0|py36h2f8
d375_0|py27hde5b4d6_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py27h2f8d375_1|py27hde5b4d6_0|py37hd
e5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py36h2f8d375_1|py27hde5b4d6_0|py27h2f8d375_0|py37hde5b4d6_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py36h2f8d375_0|py37h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py36h2f8d375_0|py27
h2f8d375_0|py37h81de0dd_1|py27h81de0dd_1|py27h2f8d375_1|py36h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0|py35h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py
35h2f8d375_0|py35h81de0dd_0|py37h81de0dd_0|py27h81de0dd_0|py37h74e8950_0|py27h74e8950_0|py35h74e8950_0|py27h3dfced4_0|py37h7cdd4dd_0|py27h7cdd4dd_0|py36hde5b4d6_5|py37hde5b4d6_5|py27h2f8d375_5|py37h2f8d375_5|py36h2f8d375_5|py38hde5b4d6_4|
py27h81de0dd_4|py37h2f8d375_4|py35hdbf6ddf_4|py36h2b20989_4|py37h2b20989_4|py27h2b20989_4|py36hdbf6ddf_3|py37hdbf6ddf_3|py37h2b20989_3|py37hdbf6ddf_2|py27hdbf6ddf_2|py37h2b20989_2|py27h2b20989_2|py37hdbf6ddf_1|py36hdbf6ddf_1|py36h2b20989_
1|py27h2b20989_0|py36h2b20989_0|py36hdbf6ddf_0|py35h2b20989_0|py27h2b20989_0|py35h0ea5e3f_1|py36hde5b4d6_12|py37hde5b4d6_12|py37hde5b4d6_11|py36hde5b4d6_11|py36h2f8d375_11|py37h2f8d375_11|py35h2f8d375_10|py36h2f8d375_10|py35h81de0dd_10|py
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_8|py27h2b20989_8|py36h2b20989_8|py36hdbf6ddf_7|py27hdbf6ddf_7|py36h2b20989_7|py27h2b20989_7|py37h2f8d375_0|py36h2f8d375_0|py37h2b20989_7|py35hdbf6ddf_7|py27hdbf6ddf_7|py36hdbf6ddf_6|py27hdbf6ddf_6|py37hdbf6ddf_6|py36h2b20989_6|py27h2b209
89_6']
cupy -> numpy[version='>=1.18'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1
.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1
.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1
.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1
.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1
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.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1
.17.0|1.17.0|1.17.0|1.17.0|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.
2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py37hdbf6ddf_6|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py35h2
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27hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py36hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py36hde5b4d6_1|
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0|py36h81de0dd_0|py27h81de0dd_0|py37h2f8d375_0|py27h2f8d375_0|py27h81de0dd_1|py36h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0|py35h2f8d375_0|py35h81de0dd_0|py27h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py27h2f8d375_0|py35h2f8d37
5_0|py35h81de0dd_0|py37h81de0dd_0|py27h81de0dd_0|py27h74e8950_0|py35h74e8950_0|py35h3dfced4_0|py36h3dfced4_0|py27h3dfced4_0|py27h7cdd4dd_0|py37hde5b4d6_5|py27hde5b4d6_5|py27h2f8d375_5|py37h2f8d375_5|py36h2f8d375_5|py38hde5b4d6_4|py36h81de
0dd_4|py35h81de0dd_4|py37h2f8d375_4|py35h2b20989_4|py35hdbf6ddf_4|py37h2b20989_4|py27h2b20989_3|py37h2b20989_3|py36h2b20989_3|py27hdbf6ddf_2|py37h2b20989_2|py27h2b20989_2|py37hdbf6ddf_1|py36h2b20989_1|py36hdbf6ddf_0|py36h2b20989_0|py35hdb
f6ddf_0|py36hdbf6ddf_0|py35h2b20989_0|py36h2b20989_0|py27h2b20989_0|py35h0ea5e3f_1|py36h0ea5e3f_1|py37hde5b4d6_12|py27h2f8d375_12|py27hde5b4d6_11|py37hde5b4d6_11|py36h2f8d375_11|py37h2f8d375_11|py35h2f8d375_10|py27h2f8d375_10|py36h2f8d375
_10|py35h81de0dd_10|py36h81de0dd_10|py37h81de0dd_10|py36h74e8950_10|py37h74e8950_10|py36h74e8950_9|py37h74e8950_9|py35h74e8950_9|py37h81de0dd_9|py36h81de0dd_9|py27h3dfced4_9|py36h3dfced4_9|py37h3dfced4_9|py37h7cdd4dd_9|py35h7cdd4dd_9|py35
h2b20989_8|py35hdbf6ddf_8|py27hdbf6ddf_8|py27h2b20989_8|py37hdbf6ddf_8|py36hdbf6ddf_8|py36hdbf6ddf_7|py27h2b20989_7|py37h2b20989_7|py35hdbf6ddf_7|py36h2b20989_7|py36hdbf6ddf_7|py27hdbf6ddf_6|py37h2b20989_6|py36h2b20989_6|py27h2b20989_6']

Package pytorch conflicts for:
torchvision -> pytorch-gpu -> pytorch[version='1.10.0|1.10.0|1.10.0|1.10.0|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1
.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.6.0|1.6.0|1.6.0
|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.9.1|1.9.1|1.9.1|1.9.1|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8
.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.6.0|1.6.0|1.6.0|1.6',build='cpu_py36h63cae03_1|cpu_py38h36eccb8_1|cpu_py39h714fb45_1|cpu_py39h714fb45_2|cpu_py38h36eccb8_2|cpu_py37hafa7651_0|cpu_py36h2d15
a6b_1|cpu_py36h95c28ec_2|cpu_py38h91ab35c_2|cpu_py39hfbcbfe4_2|cpu_py39hfbcbfe4_3|cpu_py38h91ab35c_0|cpu_py39hfbcbfe4_0|cpu_py36h3564fbe_1|cpu_py37hff829bd_1|cpu_py39h818de69_1|cpu_py37hb06efa0_2|cpu_py39h818de69_2|cpu_py38h4bbe6ce_2|cpu_
py39hc5866cc_3|cpu_py39hc5866cc_0|cpu_py37hf3cc979_0|cpu_py38h1ee18c8_0|cuda92py36h7ecc001_1|cuda100py36hd82b6f9_1|cuda102py36h8620ce9_1|cuda92py37hc3ec645_1|cuda100py37h50b9e00_1|cuda92py38hb6ed0dd_1|cuda100py38h679e3f5_1|cuda92py39hde86
683_1|cuda102py38h9f8c3ab_1|cuda92py36h7ecc001_1|cuda102py36h8620ce9_1|cuda100py36hd82b6f9_1|cuda102py37h4d98c68_1|cuda100py37h50b9e00_1|cuda92py39hde86683_1|cuda100py39h2b73809_1|cuda92py38hb6ed0dd_1|cuda101py36h42dc283_1|cuda102py38h9f8
c3ab_1|cuda102py38h540557e_0|cuda110py36h7ef7e1d_0|cuda110py37h5fb8b0b_0|cuda110py39hbc72f07_0|cuda112py39h716d6ff_1|cuda111py36h3cb1cac_1|cuda112py36h5fea6e2_1|cuda111py37h50e976f_1|cuda112py37h946b90b_1|cuda111py39hc274426_1|cuda102py36
he3537ca_1|cuda110py36h768fbb7_1|cuda112py39hbeb36f3_1|cuda111py38h5169e65_1|cuda102py39h9bf10ef_1|cuda110py38hc2289b8_1|cuda112py36h755b813_1|cuda102py37h92fd811_1|cuda111py37h78388d7_1|cuda112py36h36e649e_3|cuda111py36h8a2106e_3|cuda112
py37h3bec1eb_3|cuda102py36h3d4679f_3|cuda102py37h98b7ee3_3|cuda102py38ha031fbe_3|cuda110py36he570edd_3|cuda110py37h4a33b93_3|cuda111py37he371307_0|cuda110py37h4a33b93_0|cuda112py38h4f2a933_0|cuda102py37h98b7ee3_0|cuda110py39h5cf7045_0|cud
a111py39hb4a4491_0|cuda112py39h4e14dd4_0|cuda102py38ha031fbe_0|cuda111py38h2f85826_0|cuda112py37h3bec1eb_0|cuda102py39h2fcd037_0|cuda110py38hf84197b_0|cuda110py39h5cf7045_3|cuda110py38hf84197b_3|cuda102py39h2fcd037_3|cuda111py38h2f85826_3
|cuda111py37he371307_3|cuda111py39hb4a4491_3|cuda112py39h4e14dd4_3|cuda112py38h4f2a933_3|cuda112py38h3d13190_1|cuda110py39hd6acddb_1|cuda110py37h00edf66_1|cuda111py36hc5445e6_1|cuda112py37hcb91bf2_1|cuda102py38hf03d9dd_1|cuda111py39h37e5b
68_1|cuda112py38h3bc52bc_1|cuda111py38he2736ed_1|cuda110py38h65e529b_0|cuda102py39hf89b2ab_0|cuda102py37h4454d97_0|cuda102py36hf4eb8d7_0|cuda101py39h41d04a9_1|cuda100py38h679e3f5_1|cuda102py39h09d0254_1|cuda101py38h2499a06_1|cuda92py37hc3
ec645_1|cuda101py37h7589291_1|cuda101py39h41d04a9_1|cuda100py39h2b73809_1|cuda102py39h09d0254_1|cuda101py38h2499a06_1|cuda101py37h7589291_1|cuda102py37h4d98c68_1|cuda101py36h42dc283_1|cpu_py38h1ee18c8_3|cpu_py36ha8b20dc_3|cpu_py37hf3cc979
_3|cpu_py36h1c7b8ea_2|cpu_py38hfb3baa6_1|cpu_py36h95c28ec_0|cpu_py37hd5260e0_0|cpu_py36h95c28ec_3|cpu_py38h91ab35c_3|cpu_py37hd5260e0_3|cpu_py37hd5260e0_2|cpu_py38hd248515_1|cpu_py39h0fbb4fb_1|cpu_py37ha70c682_1|cpu_py39h0fbb4fb_0|cpu_py3
8he614459_0|cpu_py36h2ecc29a_0|cpu_py37hf1c21f6_2|cpu_py36h63cae03_2|cpu_py37hf1c21f6_1|cpu_py36h63cae03_1|cpu_py38h36eccb8_1|cpu_py37hf1c21f6_1']
pytorch
torchvision -> pytorch[version='*|*|1.10.0|1.10.1|1.9.1|1.9.0|1.8.1|1.8.0|1.7.1|1.7.0|1.6.0|1.5.1|1.5.0|1.4.0|1.3.1|1.3.0|1.2.0|1.2.0+cu92|>=1.1.0|>=1.0.0|>=0.4|>=0.3|>=1.8.0|>=1.8.0|1.7.1.*|1.3.1.*|1.2.0.*|1.1.*',build='cuda*|cuda*|cpu*|
cpu*']

Package libtiff conflicts for:
opencv -> libopencv==4.5.5=py38hd60e7aa_0 -> libtiff[version='>=4.1.0,<5.0a0|>=4.2.0,<5.0a0|>=4.3.0,<5.0a0']
opencv -> libtiff[version='4.0.*|>=4.0.10,<5.0a0|>=4.0.9,<5.0a0|>=4.0.8,<4.0.10|>=4.0.3,<4.0.8']

Package gmp conflicts for:
pytorch -> libgcc -> gmp[version='>=4.2']
opencv -> ffmpeg=4.1 -> gmp[version='>=6.1.2|>=6.1.2,<7.0a0|>=6.2.1,<7.0a0|>=6.2.0,<7.0a0']
torchvision -> ffmpeg[version='>=4.2'] -> gmp[version='>=6.1.2,<7.0a0|>=6.1.2|>=6.2.1,<7.0a0|>=6.2.0,<7.0a0']

Package pypy3.6 conflicts for:
cupy -> python[version='>=3.6,<3.7.0a0'] -> pypy3.6[version='7.3.*|7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*']
cupy -> pypy3.6[version='>=7.3.1|>=7.3.2|>=7.3.3']The following specifications were found to be incompatible with your system:

  - feature:/linux-64::__glibc==2.17=0
  - feature:|@/linux-64::__glibc==2.17=0
  - cudatoolkit=11.3 -> __glibc[version='>=2.17,<3.0.a0']
  - cudatoolkit=11.3 -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']
  - libjpeg-turbo -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']
  - numba -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']
  - opencv -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']
  - pkg-config -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']
  - python=3.9 -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']
  - pytorch -> __glibc[version='>=2.17|>=2.17,<3.0.a0']
  - torchvision -> __glibc[version='>=2.17|>=2.17,<3.0.a0']

Your installed version is: 2.17

Note that strict channel priority may have removed packages required for satisfiability.

Issue Analytics

State:
Created 2 years ago
Comments:11 (4 by maintainers)

Top GitHub Comments

1reaction

GuillaumeLeclerccommented, Jan 19, 2022

Conda can be really annoying. To be honest we don’t really need anything specific from there. The only reason we used it was to avoid having to specify installation that vary from linux distribution to linux distribution but it might be doing more harm than good…

0reactions

andrewilyascommented, Jan 19, 2022

Great! Closing this issue and added a note to the README regarding the fix.

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