ca-certificates 2021.1.19 h06a4308_1
certifi 2020.12.5 py38h06a4308_0
cudatoolkit 11.0.221 h6bb024c_0
ld_impl_linux-64 2.33.1 h53a641e_7
libedit 3.1.20191231 h14c3975_1
libffi 3.3 he6710b0_2
libgcc-ng 9.1.0 hdf63c60_0
libstdcxx-ng 9.1.0 hdf63c60_0
ncurses 6.2 he6710b0_1
openssl 1.1.1j h27cfd23_0
pip 20.0.2 py38_1 conda-forge
python 3.8.8 hdb3f193_4
readline 8.1 h27cfd23_0
setuptools 52.0.0 py38h06a4308_0
sqlite 3.33.0 h62c20be_0
tk 8.6.10 hbc83047_0
wheel 0.36.2 pyhd3eb1b0_0
xz 5.2.5 h7b6447c_0
zlib 1.2.11 h7b6447c_3
Also tried conda version 4.7.12. Same problem.
Thanks! Tomorrow is great, I'll put the wheel here 🙂
Thu Mar 11 17:52:45 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.56 Driver Version: 460.56 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce RTX 3090 Off | 00000000:01:00.0 Off | N/A |
| 61% 63C P2 296W / 350W | 8318MiB / 24268MiB | 74% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 GeForce RTX 3090 Off | 00000000:21:00.0 Off | N/A |
| 30% 29C P8 20W / 350W | 1MiB / 24268MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 133165 C+G ...s-builds.1/3.7/bin/python 8314MiB |
+-----------------------------------------------------------------------------+
drwxr-xr-x 10 root root 4096 Jul 31 2020 .
drwxr-xr-x 14 root root 4096 Jul 31 2020 ..
drwxr-xr-x 2 root root 4096 Feb 4 13:52 bin
drwxr-xr-x 2 root root 4096 Jul 31 2020 etc
drwxr-xr-x 2 root root 4096 Jul 31 2020 games
drwxr-xr-x 2 root root 4096 Jul 31 2020 include
drwxr-xr-x 4 root root 4096 Feb 3 13:40 lib
lrwxrwxrwx 1 root root 9 Dez 10 14:29 man -> share/man
drwxr-xr-x 2 root root 4096 Jul 31 2020 sbin
drwxr-xr-x 7 root root 4096 Jul 31 2020 share
drwxr-xr-x 2 root root 4096 Jul 31 2020 src
I will try again tomorrow. It s getting late! Thank you for helping so far!
Can you ping me when it is updated in None so I can update my installation?
# Python 3.7.10 (default, Feb 26 2021, 18:47:35) [GCC 7.3.0]
aiostream==0.4.2
attrs==20.3.0
clearml==0.17.4
dm-control==0.0.355168290
dm-env==1.4
furl==2.1.0
future==0.18.2
glfw==2.1.0
gym==0.18.0
humanfriendly==9.1
imageio-ffmpeg==0.4.3
jsonschema==3.2.0
labmaze==1.0.3
lxml==4.6.2
moviepy==1.0.3
orderedmultidict==1.0.1
pathlib2==2.3.5
pillow==7.2.0
proglog==0.1.9
psutil==5.8.0
pybullet==3.0.9
pygame==2.0.1
pyglet==1.5.0
pyjwt==2.0.1
pyrsistent==0.17.3
requests-file==1.5.1
tensorboard==2.4.1
tensorboardx==2.1
# Conda Packages
blas==1.0
bzip2==1.0.8
ca-certificates==2020.10.14
certifi==2020.6.20
cloudpickle==1.6.0
cudatoolkit==11.1.1
cycler==0.10.0
cytoolz==0.11.0
dask-core==2021.2.0
decorator==4.4.2
ffmpeg==4.3
freetype==2.10.4
gmp==6.2.1
gnutls==3.6.13
imageio==2.9.0
jpeg==9b
kiwisolver==1.3.1
lame==3.100
lcms2==2.11
ld_impl_linux-64==2.33.1
libedit==3.1.20191231
libffi==3.3
libgcc-ng==9.3.0
libgfortran-ng==7.3.0
libiconv==1.16
libpng==1.6.37
libstdcxx-ng==9.3.0
libtiff==4.1.0
libuv==1.41.0
llvm-openmp==11.0.1
lz4-c==1.9.3
matplotlib-base==3.3.4
mkl==2020.4
mkl-service==2.3.0
mkl_fft==1.3.0
mkl_random==1.2.0
ncurses==6.2
nettle==3.6
networkx==2.5
ninja==1.10.2
numpy==1.19.2
numpy-base==1.19.2
olefile==0.46
openh264==2.1.1
openssl==1.1.1j
pip==21.0.1
pyparsing==2.4.7
python==3.7.10
python-dateutil==2.8.1
python_abi==3.7
torch==1.8.0
pywavelets==1.1.1
pyyaml==5.3.1
readline==8.1
scikit-image==0.17.2
scipy==1.6.1
setuptools==52.0.0
six==1.15.0
sqlite==3.33.0
tifffile==2020.10.1
tk==8.6.10
toolz==0.11.1
torchaudio==0.8.0
torchvision==0.9.0
tornado==6.1
typing_extensions==3.7.4.3
wheel==0.36.2
xz==5.2.5
yaml==0.2.5
zlib==1.2.11
zstd==1.4.9
fyi: NVIDIA-SMI 460.56 Driver Version: 460.56 CUDA Version: 11.2
Tried to install cudatoolkit==11.1 manually in this environemnt and got:
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Package xz conflicts for:
python=3.8 -> xz[version='>=5.2.4,<5.3.0a0|>=5.2.4,<6.0a0|>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0']
Package libstdcxx-ng conflicts for:
python=3.8 -> libstdcxx-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']
cudatoolkit=11.1 -> libstdcxx-ng[version='>=9.3.0']
Package libgcc-ng conflicts for:
cudatoolkit=11.1 -> libgcc-ng[version='>=9.3.0']
python=3.8 -> libgcc-ng[version='>=7.3.0|>=7.5.0|>=9.3.0']
Package __glibc conflicts for:
cudatoolkit=11.1 -> __glibc[version='>=2.17,<3.0.a0']
Package libffi conflicts for:
python=3.8 -> libffi[version='>=3.2.1,<3.3.0a0|>=3.2.1,<3.3a0|>=3.3,<3.4.0a0']
Package ncurses conflicts for:
python=3.8 -> ncurses[version='>=6.1,<6.3.0a0|>=6.1,<7.0a0|>=6.2,<6.3.0a0|>=6.2,<7.0a0']
Package zlib conflicts for:
python=3.8 -> zlib[version='>=1.2.11,<1.3.0a0']
Package python_abi conflicts for:
python=3.8 -> python_abi[version='*|3.8.*',build=*_cp38]
Package sqlite conflicts for:
python=3.8 -> sqlite[version='>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.34.0,<4.0a0']
Package bzip2 conflicts for:
python=3.8 -> bzip2[version='>=1.0.8,<2.0a0']
Package readline conflicts for:
python=3.8 -> readline[version='>=7.0,<8.0a0|>=8.0,<9.0a0']
Package openssl conflicts for:
python=3.8 -> openssl[version='>=1.1.1a,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1f,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a']
Package tk conflicts for:
python=3.8 -> tk[version='>=8.6.10,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.9,<8.7.0a0']
Package pip conflicts for:
python=3.8 -> pip
Package ld_impl_linux-64 conflicts for:
python=3.8 -> ld_impl_linux-64[version='>=2.34']The following specifications were found to be incompatible with your CUDA driver:
- cudatoolkit=11.1 -> __cuda[version='>=11.1']
Your installed CUDA driver is: 11.2
From the logs when ran with --foreground I I do not see any conda create command.
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=conda_forge
_openmp_mutex=4.5=1_llvm
absl-py=0.12.0=pypi_0
aiostream=0.4.2=pypi_0
attrs=20.3.0=pypi_0
blas=1.0=mkl
bzip2=1.0.8=h7b6447c_0
ca-certificates=2020.10.14=0
cached-property=1.5.2=pypi_0
cachetools=4.2.1=pypi_0
certifi=2020.6.20=py37_0
chardet=4.0.0=pypi_0
clearml=0.17.4=pypi_0
cloudpickle=1.6.0=py_0
cudatoolkit=11.1.1=h6406543_8
cycler=0.10.0=py37_0
cytoolz=0.11.0=py37h7b6447c_0
dask-core=2021.2.0=pyhd8ed1ab_0
decorator=4.4.2=py_0
dm-control=0.0.355168290=pypi_0
dm-env=1.4=pypi_0
dm-tree=0.1.5=pypi_0
ffmpeg=4.3=hf484d3e_0
freetype=2.10.4=h5ab3b9f_0
furl=2.1.0=pypi_0
future=0.18.2=pypi_0
glfw=2.1.0=pypi_0
gmp=6.2.1=h58526e2_0
gnutls=3.6.13=h85f3911_1
google-auth=1.27.1=pypi_0
google-auth-oauthlib=0.4.3=pypi_0
grpcio=1.36.1=pypi_0
gym=0.18.0=pypi_0
h5py=3.2.1=pypi_0
humanfriendly=9.1=pypi_0
idna=2.10=pypi_0
imageio=2.9.0=py_0
imageio-ffmpeg=0.4.3=pypi_0
importlib-metadata=3.7.2=pypi_0
jpeg=9b=habf39ab_1
jsonschema=3.2.0=pypi_0
kiwisolver=1.3.1=py37h2527ec5_1
labmaze=1.0.3=pypi_0
lame=3.100=h7b6447c_0
lcms2=2.11=h396b838_0
ld_impl_linux-64=2.33.1=h53a641e_7
libedit=3.1.20191231=h14c3975_1
libffi=3.3=he6710b0_2
libgcc-ng=9.3.0=h2828fa1_18
libgfortran-ng=7.3.0=hdf63c60_0
libgomp=9.3.0=h2828fa1_18
libiconv=1.16=h516909a_0
libpng=1.6.37=hbc83047_0
libstdcxx-ng=9.3.0=h6de172a_18
libtiff=4.1.0=h2733197_1
libuv=1.41.0=h7f98852_0
llvm-openmp=11.0.1=h4bd325d_0
lxml=4.6.2=pypi_0
lz4-c=1.9.3=h9c3ff4c_0
markdown=3.3.4=pypi_0
matplotlib-base=3.3.4=py37h0c9df89_0
mkl=2020.4=h726a3e6_304
mkl-service=2.3.0=py37h8f50634_2
mkl_fft=1.3.0=py37h902c9e0_1
mkl_random=1.2.0=py37h9fdb41a_1
moviepy=1.0.3=pypi_0
ncurses=6.2=he6710b0_1
nettle=3.6=he412f7d_0
networkx=2.5=py_0
ninja=1.10.2=h4bd325d_0
numpy=1.19.2=py37h54aff64_0
numpy-base=1.19.2=py37hfa32c7d_0
oauthlib=3.1.0=pypi_0
olefile=0.46=py37_0
openh264=2.1.1=h780b84a_0
openssl=1.1.1j=h7f98852_0
orderedmultidict=1.0.1=pypi_0
pathlib2=2.3.5=pypi_0
pillow=7.2.0=pypi_0
pip=21.0.1=pyhd8ed1ab_0
proglog=0.1.9=pypi_0
protobuf=3.15.5=pypi_0
psutil=5.8.0=pypi_0
pyasn1=0.4.8=pypi_0
pyasn1-modules=0.2.8=pypi_0
pybullet=3.0.9=pypi_0
pygame=2.0.1=pypi_0
pyglet=1.5.0=pypi_0
pyjwt=2.0.1=pypi_0
pyopengl=3.1.5=pypi_0
pyparsing=2.4.7=py_0
pyrsistent=0.17.3=pypi_0
python=3.7.10=hdb3f193_0
python-dateutil=2.8.1=py_0
python_abi=3.7=1_cp37m
pytorch=1.8.0=py3.7_cuda11.1_cudnn8.0.5_0
pywavelets=1.1.1=py37h7b6447c_2
pyyaml=5.3.1=py37h7b6447c_1
readline=8.1=h27cfd23_0
requests=2.25.1=pypi_0
requests-file=1.5.1=pypi_0
requests-oauthlib=1.3.0=pypi_0
rsa=4.7.2=pypi_0
scikit-image=0.17.2=py37hdf5156a_0
scipy=1.6.1=py37h91f5cce_0
setuptools=52.0.0=py37h06a4308_0
six=1.15.0=py_0
sqlite=3.33.0=h62c20be_0
tensorboard=2.4.1=pypi_0
tensorboard-plugin-wit=1.8.0=pypi_0
tensorboardx=2.1=pypi_0
tifffile=2020.10.1=py37hdd07704_2
tk=8.6.10=hbc83047_0
toolz=0.11.1=py_0
torchaudio=0.8.0=py37
torchvision=0.9.0=py37_cu111
tornado=6.1=py37h5e8e339_1
tqdm=4.59.0=pypi_0
typing_extensions=3.7.4.3=py_0
urllib3=1.26.3=pypi_0
werkzeug=1.0.1=pypi_0
wheel=0.36.2=pyhd3deb0d_0
xz=5.2.5=h7b6447c_0
yaml=0.2.5=h7b6447c_0
zipp=3.4.1=pypi_0
zlib=1.2.11=h7b6447c_3
zstd=1.4.9=ha95c52a_0
==> 2021-03-11 13:54:59 <==
# cmd: /home/tim/miniconda3/condabin/conda create --yes --mkdir --prefix /home/tim/.clearml/venvs-builds/3.8 python=3.8
# conda version: 4.9.2
+defaults/linux-64::_libgcc_mutex-0.1-main
+defaults/linux-64::ca-certificates-2021.1.19-h06a4308_1
+defaults/linux-64::certifi-2020.12.5-py38h06a4308_0
+defaults/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7
+defaults/linux-64::libedit-3.1.20191231-h14c3975_1
+defaults/linux-64::libffi-3.3-he6710b0_2
+defaults/linux-64::libgcc-ng-9.1.0-hdf63c60_0
+defaults/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
+defaults/linux-64::ncurses-6.2-he6710b0_1
+defaults/linux-64::openssl-1.1.1j-h27cfd23_0
+defaults/linux-64::pip-21.0.1-py38h06a4308_0
+defaults/linux-64::python-3.8.8-hdb3f193_4
+defaults/linux-64::readline-8.1-h27cfd23_0
+defaults/linux-64::setuptools-52.0.0-py38h06a4308_0
+defaults/linux-64::sqlite-3.33.0-h62c20be_0
+defaults/linux-64::tk-8.6.10-hbc83047_0
+defaults/linux-64::xz-5.2.5-h7b6447c_0
+defaults/linux-64::zlib-1.2.11-h7b6447c_3
+defaults/noarch::wheel-0.36.2-pyhd3eb1b0_0
# update specs: ['python=3.8']
==> 2021-03-11 13:55:01 <==
# cmd: /home/tim/miniconda3/condabin/conda install -p /home/tim/.clearml/venvs-builds/3.8 -c defaults -c conda-forge -c pytorch cudatoolkit=11.1 --quiet --json
# conda version: 4.9.2
-defaults/linux-64::_libgcc_mutex-0.1-main
-defaults/linux-64::libgcc-ng-9.1.0-hdf63c60_0
-defaults/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
+conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge
+conda-forge/linux-64::_openmp_mutex-4.5-1_gnu
+conda-forge/linux-64::cudatoolkit-11.1.1-h6406543_8
+conda-forge/linux-64::libgcc-ng-9.3.0-h2828fa1_18
+conda-forge/linux-64::libgomp-9.3.0-h2828fa1_18
+conda-forge/linux-64::libstdcxx-ng-9.3.0-h6de172a_18
# update specs: ['cudatoolkit=11.1']
==> 2021-03-11 13:55:06 <==
# cmd: /home/tim/miniconda3/condabin/conda install -p /home/tim/.clearml/venvs-builds/3.8 -c defaults -c conda-forge -c pytorch pip<20.2 --quiet --json
# conda version: 4.9.2
-defaults/linux-64::pip-21.0.1-py38h06a4308_0
+conda-forge/linux-64::pip-20.0.2-py38_1
# update specs: ["pip[version='<20.2']"]
==> 2021-03-11 13:55:21 <==
# cmd: /home/tim/miniconda3/bin/conda-env update -p /home/tim/.clearml/venvs-builds/3.8 --file /tmp/conda_envu_x8060h.yml --quiet --json
# conda version: 4.9.2
-conda-forge/linux-64::_openmp_mutex-4.5-1_gnu
-defaults/linux-64::ca-certificates-2021.1.19-h06a4308_1
+conda-forge/linux-64::_openmp_mutex-4.5-1_llvm
+conda-forge/linux-64::ffmpeg-4.3.1-h03821db_2
+conda-forge/linux-64::gnutls-3.6.13-h85f3911_1
+conda-forge/linux-64::libblas-3.9.0-8_mkl
+conda-forge/linux-64::libiconv-1.16-h516909a_0
+conda-forge/linux-64::libprotobuf-3.15.5-h780b84a_0
+conda-forge/linux-64::libuv-1.41.0-h7f98852_0
+conda-forge/linux-64::llvm-openmp-11.0.1-h4bd325d_0
+conda-forge/linux-64::mkl-2020.4-h726a3e6_304
+conda-forge/linux-64::mkl_random-1.2.0-py38hc5bc63f_1
+conda-forge/linux-64::nettle-3.6-he412f7d_0
+conda-forge/linux-64::openh264-2.1.1-h780b84a_0
+conda-forge/linux-64::python_abi-3.8-1_cp38
+conda-forge/linux-64::pytorch-1.8.0-cpu_py38he614459_0
+conda-forge/linux-64::sleef-3.5.1-h7f98852_1
+conda-forge/linux-64::zstd-1.4.9-ha95c52a_0
+defaults/linux-64::blas-1.0-mkl
+defaults/linux-64::bzip2-1.0.8-h7b6447c_0
+defaults/linux-64::ca-certificates-2020.12.8-h06a4308_1
+defaults/linux-64::cffi-1.14.5-py38h261ae71_0
+defaults/linux-64::freetype-2.10.4-h5ab3b9f_0
+defaults/linux-64::future-0.18.2-py38_1
+defaults/linux-64::gmp-6.2.1-h2531618_2
+defaults/linux-64::jpeg-9b-h024ee3a_2
+defaults/linux-64::lame-3.100-h7b6447c_0
+defaults/linux-64::lcms2-2.11-h396b838_0
+defaults/linux-64::libpng-1.6.37-hbc83047_0
+defaults/linux-64::libtiff-4.1.0-h2733197_1
+defaults/linux-64::lz4-c-1.9.3-h2531618_0
+defaults/linux-64::mkl-service-2.3.0-py38he904b0f_0
+defaults/linux-64::mkl_fft-1.3.0-py38h54f3939_0
+defaults/linux-64::ninja-1.10.2-py38hff7bd54_0
+defaults/linux-64::numpy-1.19.2-py38h54aff64_0
+defaults/linux-64::numpy-base-1.19.2-py38hfa32c7d_0
+defaults/linux-64::pillow-8.1.2-py38he98fc37_0
+defaults/linux-64::six-1.15.0-py38h06a4308_0
+defaults/linux-64::x264-1!152.20180806-h7b6447c_0
+defaults/noarch::olefile-0.46-py_0
+defaults/noarch::pycparser-2.20-py_2
+defaults/noarch::typing_extensions-3.7.4.3-pyha847dfd_0
+pytorch/linux-64::torchaudio-0.8.0-py38
+pytorch/linux-64::torchvision-0.9.0-py38_cu111
# update specs: ['ld_impl_linux-64~=2.33.1', 'libpng~=1.6.37', 'ninja~=1.10.2', 'pytorch~=1.8.0', 'zstd~=1.4.9', 'gmp~=6.2.1', 'python~=3.8.8', 'torchaudio~=0.8.0', 'libtiff~=4.1.0', 'mkl-service~=2.3.0', 'typing_extensions~=3.7.4.3', 'llvm-openmp~=11.0.1', 'python_abi~=3.8', 'readline~=8.1', 'jpeg~=9b.0', 'libedit~=3.1.20191231', 'mkl_random~=1.2.0', 'numpy~=1.19.2', 'openssl~=1.1.1j', 'pillow~=8.1.2', 'blas~=1.0', 'setuptools~=52.0.0', 'tk~=8.6.10', 'ffmpeg~=4.3', 'lz4-c~=1.9.3', 'xz~=5.2.5', 'ncurses~=6.2', 'lame~=3.100', 'libgcc-ng~=9.3.0', 'libffi~=3.3', 'six~=1.15.0', 'certifi~=2020.12.5', 'libuv~=1.41.0', 'gnutls~=3.6.13', 'torchvision~=0.9.0', 'sqlite~=3.33.0', 'libstdcxx-ng~=9.3.0', 'olefile~=0.46', 'openh264~=2.1.1', 'libiconv~=1.16', 'ca-certificates~=2020.12.5', 'cudatoolkit~=11.1.1', 'mkl_fft~=1.3.0', 'freetype~=2.10.4', 'numpy-base~=1.19.2', 'wheel~=0.36.2', 'mkl~=2020.4', 'nettle~=3.6', 'lcms2~=2.11', 'bzip2~=1.0.8', 'zlib~=1.2.11']
Hi ReassuredTiger98
This should have worked, and seems like conda is not fetching the correct pytorch version (even though the conda env contains the cuda version they specify)
Let's try something, reset the Task, then edit the "Installed packages" and add:
cudatoolkit==11.1.1
Then try again.
Let's see what we get.
(The idea, is that I think conda forgets it just install cudatoolkit and assumes the env is for CPU)
Do you know how I can get this version?
Hmm maybe this is the issue, :
Conda error: UnsatisfiableError: The following specifications were found to be incompatible with a past
explicit spec that is not an explicit spec in this operation (cudatoolkit):
- pytorch~=1.8.0 -> cudatoolkit[version='>=10.1,<10.2|>=10.2,<10.3']
This makes no sense, conda is saying pytorch=1.8 needs cudatoolkit <10.2/10.3 but actually it needs cudatoolkit 11.1
So only short update for today: I did not yet start a run with conda 4.7.12.
But one question: Actually conda can not be at fault here, right? I can install pytorch just fine locally on the agent, when I do not use clearml(-agent)
It's always preferred to use conda_freeze: false
That said, if you do use conda_freeze: true it should also freeze the cudatoolkit, so it should have worked.
BTW when you say it worked, is it 0.17.2 version or the hacked RC I sent ?
I try it one more time just to make sure
conda env update -p .clearml/venvs-builds/3.8 ./environment.yml
with environment.yml
name: clearml
channels:
- pytorch
- anaconda
- conda-forge
- defaults
dependencies:
- pytorch==1.8.0
I mean the version which it bases the PyTorch installation on.
Well, in that case, just change the order it should solve it (I'll make sure we have that as the default:
conda_channels: ["pytorch", "conda-forge", "defaults", ]
It should solve the issue 🙂