"bias_act_plugin"...Failed!
MedTechWiz opened this issue · comments
Hello :)
I am struggling quite some time by now with the panohead configuration. I installed all the environment requirements for Panohead and checked up for the Stylegan3 requirements as well.
Here some information about the current env:
- Working on Linux
- Python 3.8.18
- torch 2.1.1
- cudatoolkit 11.8.0
- ninja 1.11.1
- GCC 11.4.0
nvidia-smi output:
nvcc --version output:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Nov_18_09:45:30_PST_2021
Cuda compilation tools, release 11.5, V11.5.119
Build cuda_11.5.r11.5/compiler.30672275_0
I'm trying to execute the following statement:
python gen_videos.py --network models/easy-khair-180-gpc0.8-trans10-025000.pkl --seeds 0-3 --grid 2x2 --output=out --cfg Head --trunc 0.7
Here the error message I am dealing with when executing:
Loading networks from "models/easy-khair-180-gpc0.8-trans10-025000.pkl"...
Setting up PyTorch plugin "bias_act_plugin"... Failed!
Traceback (most recent call last):
File "/home/research-server/anaconda3/envs/panohead/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 2100, in _run_ninja_build
subprocess.run(
File "/home/research-server/anaconda3/envs/panohead/lib/python3.8/subprocess.py", line 516, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "gen_videos.py", line 365, in etc.
I'm still not sure what is causing the error. Does anybody have some ideas?
changing the environment.yml as below and reinstalling the environment solved the issue for me.
name: panohead
channels:
- pytorch
- nvidia
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- blas=1.0=mkl
- brotli-python=1.0.9=py312h6a678d5_7
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.12.12=h06a4308_0
- certifi=2024.2.2=py312h06a4308_0
- cffi=1.16.0=py312h5eee18b_0
- charset-normalizer=2.0.4=pyhd3eb1b0_0
- click=8.1.7=py312h06a4308_0
- cryptography=41.0.7=py312hdda0065_0
- cuda-cudart=12.1.105=0
- cuda-cupti=12.1.105=0
- cuda-libraries=12.1.0=0
- cuda-nvrtc=12.1.105=0
- cuda-nvtx=12.1.105=0
- cuda-opencl=12.3.101=0
- cuda-runtime=12.1.0=0
- expat=2.5.0=h6a678d5_0
- ffmpeg=4.3=hf484d3e_0
- filelock=3.13.1=py312h06a4308_0
- freetype=2.12.1=h4a9f257_0
- gmp=6.2.1=h295c915_3
- gnutls=3.6.15=he1e5248_0
- idna=3.4=py312h06a4308_0
- intel-openmp=2023.1.0=hdb19cb5_46306
- jinja2=3.1.2=py312h06a4308_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
- libcublas=12.1.0.26=0
- libcufft=11.0.2.4=0
- libcufile=1.8.1.2=0
- libcurand=10.3.4.107=0
- libcusolver=11.4.4.55=0
- libcusparse=12.0.2.55=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
- libiconv=1.16=h7f8727e_2
- libidn2=2.3.4=h5eee18b_0
- libjpeg-turbo=2.0.0=h9bf148f_0
- libnpp=12.0.2.50=0
- libnvjitlink=12.1.105=0
- libnvjpeg=12.1.1.14=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
- libuuid=1.41.5=h5eee18b_0
- libwebp-base=1.3.2=h5eee18b_0
- llvm-openmp=14.0.6=h9e868ea_0
- lz4-c=1.9.4=h6a678d5_0
- markupsafe=2.1.1=py312h5eee18b_0
- mkl=2023.1.0=h213fc3f_46344
- mkl-service=2.4.0=py312h5eee18b_1
- mkl_fft=1.3.8=py312h5eee18b_0
- mkl_random=1.2.4=py312hdb19cb5_0
- mpmath=1.3.0=py312h06a4308_0
- ncurses=6.4=h6a678d5_0
- nettle=3.7.3=hbbd107a_1
- networkx=3.1=py312h06a4308_0
- ninja=1.10.2=h06a4308_5
- ninja-base=1.10.2=hd09550d_5
- numpy=1.26.3=py312hc5e2394_0
- numpy-base=1.26.3=py312h0da6c21_0
- openh264=2.1.1=h4ff587b_0
- openjpeg=2.4.0=h3ad879b_0
- openssl=3.0.13=h7f8727e_0
- pillow=10.2.0=py312h5eee18b_0
- pip=23.3.1=py312h06a4308_0
- pycparser=2.21=pyhd3eb1b0_0
- pyopenssl=23.2.0=py312h06a4308_0
- pysocks=1.7.1=py312h06a4308_0
- python=3.12.1=h996f2a0_0
- pytorch=2.2.0=py3.12_cuda12.1_cudnn8.9.2_0
- pytorch-cuda=12.1=ha16c6d3_5
- pytorch-mutex=1.0=cuda
- pyyaml=6.0.1=py312h5eee18b_0
- readline=8.2=h5eee18b_0
- requests=2.31.0=py312h06a4308_0
- scipy=1.11.4=py312hc5e2394_0
- setuptools=68.2.2=py312h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- sympy=1.12=py312h06a4308_0
- tbb=2021.8.0=hdb19cb5_0
- tk=8.6.12=h1ccaba5_0
- torchaudio=2.2.0=py312_cu121
- torchvision=0.17.0=py312_cu121
- tqdm=4.65.0=py312he106c6f_0
- typing_extensions=4.9.0=py312h06a4308_1
- tzdata=2023d=h04d1e81_0
- urllib3=1.26.18=py312h06a4308_0
- wheel=0.41.2=py312h06a4308_0
- xz=5.4.5=h5eee18b_0
- yaml=0.2.5=h7b6447c_0
- zlib=1.2.13=h5eee18b_0
- zstd=1.5.5=hc292b87_0
- pip:
- mrcfile==1.5.0