Topaz Train - TypeError: concat() takes 1 positional argument but 2 were given

Thank you for your help.
I followed your suggestions and now topaz is working fine.

Here is the list of packages for old (non-working) and new (working) installation:

Packages for our old, non-working installation with python3.11
(conda install topaz cudatoolkit=11.8 -c tbepler -c pytorch)

Name Version Build Channel

_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
blas 1.0 mkl
bottleneck 1.3.7 py311hf4808d0_0
brotli-python 1.0.9 py311h6a678d5_7
bzip2 1.0.8 h7b6447c_0
ca-certificates 2023.12.12 h06a4308_0
certifi 2024.2.2 py311h06a4308_0
cffi 1.16.0 py311h5eee18b_0
charset-normalizer 2.0.4 pyhd3eb1b0_0
cudatoolkit 11.8.0 h6a678d5_0
filelock 3.13.1 py311h06a4308_0
freetype 2.12.1 h4a9f257_0
fsspec 2023.10.0 py311h06a4308_0
future 0.18.3 py311h06a4308_0
gmp 6.2.1 h295c915_3
gmpy2 2.1.2 py311hc9b5ff0_0
idna 3.4 py311h06a4308_0
intel-openmp 2023.1.0 hdb19cb5_46306
jinja2 3.1.3 py311h06a4308_0
joblib 1.2.0 py311h06a4308_0
jpeg 9e h5eee18b_1
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.38 h1181459_1
lerc 3.0 h295c915_0
libdeflate 1.17 h5eee18b_1
libffi 3.4.4 h6a678d5_0
libgcc-ng 11.2.0 h1234567_1
libgfortran-ng 11.2.0 h00389a5_1
libgfortran5 11.2.0 h1234567_1
libgomp 11.2.0 h1234567_1
libpng 1.6.39 h5eee18b_0
libprotobuf 3.20.3 he621ea3_0
libstdcxx-ng 11.2.0 h1234567_1
libtiff 4.5.1 h6a678d5_0
libuuid 1.41.5 h5eee18b_0
libwebp-base 1.3.2 h5eee18b_0
lz4-c 1.9.4 h6a678d5_0
markupsafe 2.1.3 py311h5eee18b_0
mkl 2023.1.0 h213fc3f_46344
mkl-service 2.4.0 py311h5eee18b_1
mkl_fft 1.3.8 py311h5eee18b_0
mkl_random 1.2.4 py311hdb19cb5_0
mpc 1.1.0 h10f8cd9_1
mpfr 4.0.2 hb69a4c5_1
mpmath 1.3.0 py311h06a4308_0
ncurses 6.4 h6a678d5_0
networkx 3.1 py311h06a4308_0
ninja 1.10.2 h06a4308_5
ninja-base 1.10.2 hd09550d_5
numexpr 2.8.7 py311h65dcdc2_0
numpy 1.26.3 py311h08b1b3b_0
numpy-base 1.26.3 py311hf175353_0
openjpeg 2.4.0 h3ad879b_0
openssl 3.0.13 h7f8727e_0
pandas 2.1.4 py311ha02d727_0
pillow 10.2.0 py311h5eee18b_0
pip 23.3.1 py311h06a4308_0
pycparser 2.21 pyhd3eb1b0_0
pysocks 1.7.1 py311h06a4308_0
python 3.11.5 h955ad1f_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python-tzdata 2023.3 pyhd3eb1b0_0
pytorch 2.2.0 cpu_py311h6d93b4c_0
pytz 2023.3.post1 py311h06a4308_0
readline 8.2 h5eee18b_0
requests 2.31.0 py311h06a4308_1
scikit-learn 1.2.2 py311h6a678d5_1
scipy 1.11.4 py311h08b1b3b_0
setuptools 68.2.2 py311h06a4308_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.41.2 h5eee18b_0
sympy 1.12 py311h06a4308_0
tbb 2021.8.0 hdb19cb5_0
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.12 h1ccaba5_0
topaz 0.2.5 py_0 tbepler
torchvision 0.15.2 cuda118py311h4cc2eb7_0
typing_extensions 4.9.0 py311h06a4308_1
tzdata 2023d h04d1e81_0
urllib3 2.1.0 py311h06a4308_1
wheel 0.41.2 py311h06a4308_0
xz 5.4.5 h5eee18b_0
zlib 1.2.13 h5eee18b_0
zstd 1.5.5 hc292b87_0

Packages for the new, working installation with python3.6
(conda install topaz pytorch=1.10.2=py3.6_cuda11.3_cudnn8.2.0_0 -c tbepler -c pytorch)

Name Version Build Channel

_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
blas 1.0 mkl
bzip2 1.0.8 h7b6447c_0
ca-certificates 2023.12.12 h06a4308_0
certifi 2021.5.30 py36h06a4308_0
cudatoolkit 11.3.1 h2bc3f7f_2
dataclasses 0.8 pyh4f3eec9_6
ffmpeg 4.3 hf484d3e_0 pytorch
freetype 2.12.1 h4a9f257_0
future 0.18.2 py36_1
giflib 5.2.1 h5eee18b_3
gmp 6.2.1 h295c915_3
gnutls 3.6.15 he1e5248_0
intel-openmp 2022.1.0 h9e868ea_3769
joblib 1.0.1 pyhd3eb1b0_0
jpeg 9e h5eee18b_1
lame 3.100 h7b6447c_0
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.38 h1181459_1
lerc 3.0 h295c915_0
libdeflate 1.17 h5eee18b_1
libffi 3.3 he6710b0_2
libgcc-ng 11.2.0 h1234567_1
libgfortran-ng 7.5.0 ha8ba4b0_17
libgfortran4 7.5.0 ha8ba4b0_17
libgomp 11.2.0 h1234567_1
libiconv 1.16 h7f8727e_2
libidn2 2.3.4 h5eee18b_0
libpng 1.6.39 h5eee18b_0
libstdcxx-ng 11.2.0 h1234567_1
libtasn1 4.19.0 h5eee18b_0
libtiff 4.5.1 h6a678d5_0
libunistring 0.9.10 h27cfd23_0
libuv 1.44.2 h5eee18b_0
libwebp 1.2.4 h11a3e52_1
libwebp-base 1.2.4 h5eee18b_1
lz4-c 1.9.4 h6a678d5_0
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
ncurses 6.4 h6a678d5_0
nettle 3.7.3 hbbd107a_1
numpy 1.19.2 py36h54aff64_0
numpy-base 1.19.2 py36hfa32c7d_0
olefile 0.46 pyhd3eb1b0_0
openh264 2.1.1 h4ff587b_0
openssl 1.1.1w h7f8727e_0
pandas 1.1.5 py36ha9443f7_0
pillow 8.3.1 py36h5aabda8_0
pip 21.2.2 py36h06a4308_0
python 3.6.13 h12debd9_1
python-dateutil 2.8.2 pyhd3eb1b0_0
pytorch 1.10.2 py3.6_cuda11.3_cudnn8.2.0_0 pytorch
pytorch-mutex 1.0 cuda pytorch
pytz 2021.3 pyhd3eb1b0_0
readline 8.2 h5eee18b_0
scikit-learn 0.24.2 py36ha9443f7_0
scipy 1.5.2 py36h0b6359f_0
setuptools 58.0.4 py36h06a4308_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.41.2 h5eee18b_0
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.12 h1ccaba5_0
topaz 0.2.5 py_0 tbepler
torchvision 0.11.3 py36_cu113 pytorch
typing_extensions 4.1.1 pyh06a4308_0
wheel 0.37.1 pyhd3eb1b0_0
xz 5.4.5 h5eee18b_0
zlib 1.2.13 h5eee18b_0
zstd 1.5.5 hc292b87_0