conda environment fails to install
inobrevi opened this issue ยท 21 comments
conda env create -f ./environment/vtoonify_env.yaml
Collecting package metadata (repodata.json): done
Solving environment: failed
ResolvePackageNotFound:
- python-lmdb==1.2.1=py38h2531618_1
- scikit-image==0.18.1=py38ha9443f7_0
- libfaiss==1.7.1=hb573701_0_cpu
- libstdcxx-ng==9.3.0=h6de172a_19
- pillow==8.3.1=py38h2c7a002_0
- libedit==3.1.20191231=he28a2e2_2
- pytorch==1.7.1=py3.8_cuda10.1.243_cudnn7.6.3_0
- libgcc-ng==9.3.0=h2828fa1_19
- ca-certificates==2022.2.1=h06a4308_0
- python==3.8.3=cpython_he5300dc_0
- certifi==2021.10.8=py38h06a4308_2
- faiss==1.7.1=py38h7b17aaf_0_cpu
- _libgcc_mutex==0.1=conda_forge
- setuptools==49.6.0=py38h578d9bd_3
- matplotlib-base==3.3.4=py38h62a2d02_0
- libffi==3.2.1=he1b5a44_1007
Any info on that? The builds seem too specific.
after reducing builds I still get error with those:
ResolvePackageNotFound:
- libstdcxx-ng=9.3.0
- libedit=3.1
- libgcc-ng=9.3.0
What operating system are you trying to run this on?
A similar question was asked by a Windows user
22
Windows 10, I forgot to search for similar issue ( I assumed it would be mentioned in readme).
I will try to install it manually and create requirements file for other interested people if successful.
hi, i made it work on windows with the following steps:
conda env create --name vtoonify_env
conda activate vtoonify_env
conda install python=3.9
conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia -c conda-forge
conda install libfaiss=1.7.1 -c conda-forge
conda install _libgcc_mutex=0.1 ca-certificates=2022.2.1 certifi=2021.10.8
conda install faiss=1.7.1 m2-libedit libfaiss-avx2=1.7.1
conda install libffi=3.2.1 -c conda-forge
conda install matplotlib-base=3.3.4 pillow=8.3.1 pip python-lmdb=1.2.1 setuptools=49.6.0 scikit-image=0.18.1
pip install cmake matplotlib ninja numpy opencv-python==4.5.3.56 scipy tqdm wget
pip install "dlib-19.22.99-cp39-cp39-win_amd64.whl" (get it here: https://github.com/sachadee/Dlib)
i skipped libgcc-ng & libstdcxx-ng as they are not available for windows
seems to work with one error:
:\VToonify\model\stylegan\op\conv2d_gradfix.py:88: UserWarning: conv2d_gradfix not supported on PyTorch 1.13.1. Falling back to torch.nn.functional.conv2d().
Build is failing for me as well, I tried to install manually with a virtual environment using Python3.8.3 and the following list of dependencies:
Package Version
------------------ -----------
certifi 2022.12.7
charset-normalizer 3.0.1
cmake 3.21.0
colorama 0.4.6
contourpy 1.0.7
cycler 0.11.0
dlib 19.21.0
fonttools 4.38.0
idna 3.4
imageio 2.24.0
kiwisolver 1.4.4
matplotlib 3.6.3
networkx 3.0
ninja 1.10.2
numpy 1.21.0
opencv-python 4.5.3.56
packaging 23.0
Pillow 8.3.1
pip 19.2.3
pyparsing 3.0.9
python-dateutil 2.8.2
PyWavelets 1.4.1
requests 2.28.2
scikit-image 0.18.1
scipy 1.7.0
setuptools 49.6.0
six 1.16.0
tifffile 2022.10.10
torch 1.7.1+cu101
torchaudio 0.7.2
torchvision 0.8.2+cu101
tqdm 4.61.2
typing-extensions 4.4.0
urllib3 1.26.14
wget 3.2
I have CUDA runtime 10.1.243 (Update 2) installed but I'm having the following error:
Traceback (most recent call last):
File "C:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\utils\cpp_extension.py", line 1533, in _run_ninja_build
subprocess.run(
File "C:\Users\alero\AppData\Local\Programs\Python\Python38\lib\subprocess.py", line 512, 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 ".\style_transfer.py", line 11, in <module>
from model.vtoonify import VToonify
File "C:\Users\alero\Desktop\AI\VToonify\model\vtoonify.py", line 5, in <module>
from model.stylegan.model import ConvLayer, EqualLinear, Generator, ResBlock
File "C:\Users\alero\Desktop\AI\VToonify\model\stylegan\model.py", line 11, in <module>
from model.stylegan.op import FusedLeakyReLU, fused_leaky_relu, upfirdn2d, conv2d_gradfix
File "C:\Users\alero\Desktop\AI\VToonify\model\stylegan\op\__init__.py", line 1, in <module>
from .fused_act import FusedLeakyReLU, fused_leaky_relu
File "C:\Users\alero\Desktop\AI\VToonify\model\stylegan\op\fused_act.py", line 11, in <module>
fused = load(
File "C:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\utils\cpp_extension.py", line 986, in load
return _jit_compile(
File "C:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\utils\cpp_extension.py", line 1193, in _jit_compile
_write_ninja_file_and_build_library(
File "C:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\utils\cpp_extension.py", line 1297, in _write_ninja_file_and_build_library
_run_ninja_build(
File "C:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\utils\cpp_extension.py", line 1555, in _run_ninja_build
raise RuntimeError(message) from e
RuntimeError: Error building extension 'fused': [1/3] cl /showIncludes -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUDE_EXTENSION_H -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include\torch\csrc\api\include -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include\TH -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include" -IC:\Users\alero\AppData\Local\Programs\Python\Python38\Include -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /EHsc -c C:\Users\alero\Desktop\AI\VToonify\model\stylegan\op\fused_bias_act.cpp /Fofused_bias_act.o
Microsoft (R) C/C++ Optimizing Compiler Version 19.29.30133 for x64
Copyright (C) Microsoft Corporation. All rights reserved.
C:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include\pybind11\detail/common.h(106): warning C4005: 'HAVE_SNPRINTF': macro redefinition
C:\Users\alero\AppData\Local\Programs\Python\Python38\Include\pyerrors.h(315): note: see previous definition of 'HAVE_SNPRINTF'
[2/3] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\nvcc -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUDE_EXTENSION_H -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include\torch\csrc\api\include -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include\TH -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include" -IC:\Users\alero\AppData\Local\Programs\Python\Python38\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_75,code=sm_75 -c C:\Users\alero\Desktop\AI\VToonify\model\stylegan\op\fused_bias_act_kernel.cu -o fused_bias_act_kernel.cuda.o
FAILED: fused_bias_act_kernel.cuda.o
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\nvcc -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUDE_EXTENSION_H -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include\torch\csrc\api\include -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include\TH -IC:\Users\alero\Desktop\AI\VToonify\venv\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include" -IC:\Users\alero\AppData\Local\Programs\Python\Python38\Include -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_75,code=sm_75 -c C:\Users\alero\Desktop\AI\VToonify\model\stylegan\op\fused_bias_act_kernel.cu -o fused_bias_act_kernel.cuda.o
C:/Users/alero/Desktop/AI/VToonify/venv/lib/site-packages/torch/include\c10/util/ThreadLocalDebugInfo.h(12): warning: modifier is ignored on an enum specifier
C:/Users/alero/Desktop/AI/VToonify/venv/lib/site-packages/torch/include\ATen/core/boxing/impl/boxing.h(100): warning: integer conversion resulted in a change of sign
C:/Users/alero/Desktop/AI/VToonify/venv/lib/site-packages/torch/include\ATen/record_function.h(13): warning: modifier is ignored on an enum specifier
C:/Users/alero/Desktop/AI/VToonify/venv/lib/site-packages/torch/include\ATen/core/op_registration/op_whitelist.h(39): warning: integer conversion resulted in a change of sign
C:/Users/alero/Desktop/AI/VToonify/venv/lib/site-packages/torch/include\torch/csrc/jit/ir/ir.h(1347): error: member "torch::jit::ProfileOptionalOp::Kind" may not be initialized
1 error detected in the compilation of "C:/Users/alero/AppData/Local/Temp/tmpxft_00006c08_00000000-10_fused_bias_act_kernel.cpp1.ii".
fused_bias_act_kernel.cu
ninja: build stopped: subcommand failed.
maybe you can use a CPU compatible version of model.stylegan.op to avoid the use of ninja/fused on Windows
It seems many people have problem with model.stylegan.op even on Linux and replacing it with this version will solve the problem.
https://github.com/williamyang1991/VToonify/tree/main/model/stylegan/op_cpu
Here are my two incomplete cents... =)
conda env create --name vtoonify_env
conda activate vtoonify_env
conda install python=3.9
conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia -c conda-forge
conda install libfaiss=1.7.1 -c conda-forge
conda install _libgcc_mutex=0.1 ca-certificates=2022.2.1 certifi=2021.10.8
conda install faiss=1.7.1 m2-libedit libfaiss-avx2=1.7.1
conda install libffi=3.2.1 -c conda-forge
conda install matplotlib-base=3.3.4 pillow=8.3.1 pip python-lmdb=1.2.1 setuptools=49.6.0 scikit-image=0.18.1
pip install cmake matplotlib ninja numpy opencv-python==4.5.3.56 scipy tqdm wget
pip install "dlib-19.22.99-cp39-cp39-win_amd64.whl" (get it here: https://github.com/sachadee/Dlib)
I had to modify it a bit.
These somewhat passed - sometimes with different versions.
conda create --name vtoon_env
conda activate vtoon_env
conda install python=3.9
conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia -c conda-forge
conda install libfaiss=1.7.1 -c conda-forge
conda install _libgcc_mutex=0.1 ca-certificates=2022.2.1 certifi=2021.10.8
conda install faiss=1.7.1 m2-libedit libfaiss-avx2=1.7.1 -c conda-forge
conda install libffi=3.2.1 -c conda-forge
conda install matplotlib-base=3.3.4
conda install python-lmdb=1.2.1
conda install setuptools
conda install pip
conda install pillow
pip install cmake matplotlib ninja numpy opencv-python==4.5.3.56 scipy tqdm wget
pip install "dlib-19.22.99-cp39-cp39-win_amd64.whl"
(get it here: https://github.com/sachadee/Dlib)
However, this one reports a long list of conflicts:
conda install scikit-image
I ran the app anyway to see what exactly woud crash and I got this:
"UserWarning: Error checking compiler version for cl"
I had already installed separate CL Tools from the latest Visual Studio, but I had to run the .bat (from Anaconda Prompt) to set paths.
"c:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\VC\Auxiliary\Build\vcvarsx86_amd64.bat"
Then I noticed I had to manually download some model so I did it, ran the app again and...
Downloading: "https://download.pytorch.org/models/resnet18-5c106cde.pth" to C:\Users\Administrator/.cache\torch\hub\checkpoints\resnet18-5c106cde.pth
100%|โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ| 44.7M/44.7M [01:29<00:00, 526kB/s]
Load models successfully!
Processing portrait.jpg with vtoonify_d
C:\Users\Administrator\VToonify\model\stylegan\op\conv2d_gradfix.py:88: UserWarning: conv2d_gradfix not supported on PyTorch 1.13.1. Falling back to torch.nn.functional.conv2d().
warnings.warn(
Traceback (most recent call last):
File "C:\Users\Administrator\VToonify\style_transfer.py", line 226, in <module>
y_tilde = vtoonify(inputs, s_w.repeat(inputs.size(0), 1, 1), d_s = args.style_degree)
File "C:\ProgramData\Anaconda3\envs\vtoon_env\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Users\Administrator\VToonify\model\vtoonify.py", line 258, in forward
out, m_E = self.fusion_out[fusion_index](out, f_E, d_s)
File "C:\ProgramData\Anaconda3\envs\vtoon_env\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Users\Administrator\VToonify\model\vtoonify.py", line 125, in forward
out = torch.cat([f_G, abs(f_G-f_E)], dim=1)
RuntimeError: The size of tensor a (120) must match the size of tensor b (119) at non-singleton dimension 3
I suppose I should try other version than PyTorch 1.13.1...
@vitacon
The warning of UserWarning: conv2d_gradfix not supported on PyTorch 1.13.1. Falling back to torch.nn.functional.conv2d(). is not a big problem. I can also run the code to produce the right results with this warning.
I think you successfully install the environment. I think the error RuntimeError: The size of tensor a (120) must match the size of tensor b (119) at non-singleton dimension 3 is not related to the environment, but your input size.
You can try to make the width/height of portrait.jpg divisible by 8 or even 16 to clear the runtimeerror.
Thanks @williamyang1991!
I should have read your comment before I made a mess in my installed packages. =} It took me a while to make it running again and you were right - the problem was just the wrong resolution of the input.
The easiest solution was using "-- scale_image",
It was also necessary for another image of 1600 x 1600 pixels because otherwise it crashed:
OutOfMemoryError: CUDA out of memory. Tried to allocate 626.00 MiB (GPU 0; 8.00 GiB total capacity; 5.30 GiB already allocated; 0 bytes free; 6.81 GiB reserved in total by PyTorch)
I think it would be useful to enable the option "-- scale_image" by default or add a proper error message for this kind of situations. =}
@vitacon do you mind to share your env image with conda-pack? I've been trying for 4 days with no success.
I've reproduced what you guys did but with no luck. This is what happens when I run
python style_transfer.py --scale_image --content ./data/529.mp4 --video
warnings.warn(f'Error checking compiler version for {compiler}: {error}') Traceback (most recent call last): File "C:\Users\felip\VToonify\style_transfer.py", line 11, in <module> from model.vtoonify import VToonify File "C:\Users\felip\VToonify\model\vtoonify.py", line 5, in <module> from model.stylegan.model import ConvLayer, EqualLinear, Generator, ResBlock File "C:\Users\felip\VToonify\model\stylegan\model.py", line 11, in <module> from model.stylegan.op import FusedLeakyReLU, fused_leaky_relu, upfirdn2d, conv2d_gradfix File "C:\Users\felip\VToonify\model\stylegan\op\__init__.py", line 1, in <module> from .fused_act import FusedLeakyReLU, fused_leaky_relu File "C:\Users\felip\VToonify\model\stylegan\op\fused_act.py", line 11, in <module> fused = load( File "C:\Users\felip\anaconda3\envs\AVToonify_env\lib\site-packages\torch\utils\cpp_extension.py", line 1284, in load return _jit_compile( File "C:\Users\felip\anaconda3\envs\AVToonify_env\lib\site-packages\torch\utils\cpp_extension.py", line 1508, in _jit_compile _write_ninja_file_and_build_library( File "C:\Users\felip\anaconda3\envs\AVToonify_env\lib\site-packages\torch\utils\cpp_extension.py", line 1610, in _write_ninja_file_and_build_library _write_ninja_file_to_build_library( File "C:\Users\felip\anaconda3\envs\AVToonify_env\lib\site-packages\torch\utils\cpp_extension.py", line 2014, in _write_ninja_file_to_build_library cuda_flags = common_cflags + COMMON_NVCC_FLAGS + _get_cuda_arch_flags() File "C:\Users\felip\anaconda3\envs\AVToonify_env\lib\site-packages\torch\utils\cpp_extension.py", line 1780, in _get_cuda_arch_flags arch_list[-1] += '+PTX' IndexError: list index out of range
@mercantigo I'm no expert at Python etc. but since it mentions compiler I suspect this error is related to CL Tools.
https://learn.microsoft.com/en-us/cpp/build/building-on-the-command-line?view=msvc-170
I did not have Visual Studio on my lab computer so I had to download at least part of it.
I forgot some details but I hope it was this:
https://aka.ms/vs/17/release/vs_BuildTools.exe
@vitacon @hugosbnarciso
can you share me your env and the vs env and GPU ?
and i have installed Vs2019, but it is wrong when run code.
now my main pkgs is cuda11.3 torch1.12.1 ( i have try torch1.7 and 1.9 but it is wrong),
run default cmd,
it show me:
fused_bias_act_kernel.cuda.o : error LNK2001: ๆ ๆณ่งฃๆ็ๅค้จ็ฌฆๅท "protected: virtual __int64 __cdecl std::basic_streambuf<char,struct std::char_traits >::xsgetn(char *,__int64)" (?xsget
n@?$basic_streambuf@DU?$char_traits@D@std@@@std@@MEAA_JPEAD_J@Z)
fused_bias_act.o : error LNK2001: ๆ ๆณ่งฃๆ็ๅค้จ็ฌฆๅท "protected: virtual __int64 __cdecl std::basic_streambuf<char,struct std::char_traits >::xsputn(char const *,__int64)" (?xsputn@?$ba
sic_streambuf@DU?$char_traits@D@std@@@std@@MEAA_JPEBD_J@Z)
fused_bias_act_kernel.cuda.o : error LNK2001: ๆ ๆณ่งฃๆ็ๅค้จ็ฌฆๅท "protected: virtual __int64 __cdecl std::basic_streambuf<char,struct std::char_traits >::xsputn(char const *,__int64)" (
?xsputn@?$basic_streambuf@DU?$char_traits@D@std@@@std@@MEAA_JPEBD_J@Z)
fused.pyd : fatal error LNK1120: 67 ไธชๆ ๆณ่งฃๆ็ๅค้จๅฝไปค
ninja: build stopped: subcommand failed.
how to do it ?
@luoww1992 My environment is really messy after all my experiments and I think it includes many unnecessary things:
# packages in environment at C:\Users\ATC\.conda\envs\vtoon_env:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
blas 1.0 mkl
blosc 1.21.3 h6c2663c_0
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
brotlipy 0.7.0 py39h2bbff1b_1003
bzip2 1.0.8 he774522_0
ca-certificates 2022.12.7 h5b45459_0 conda-forge
certifi 2022.12.7 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py39h2bbff1b_3
cfitsio 3.470 h2bbff1b_7
charls 2.2.0 h6c2663c_0
charset-normalizer 2.0.4 pyhd3eb1b0_0
cloudpickle 2.0.0 pyhd3eb1b0_0
cmake 3.25.2 pypi_0 pypi
colorama 0.4.6 pypi_0 pypi
contourpy 1.0.5 py39h59b6b97_0
cryptography 38.0.4 py39h21b164f_0
cuda 11.7.1 0 nvidia
cuda-cccl 11.7.91 0 nvidia
cuda-command-line-tools 11.7.1 0 nvidia
cuda-compiler 11.7.1 0 nvidia
cuda-cudart 11.7.99 0 nvidia
cuda-cudart-dev 11.7.99 0 nvidia
cuda-cuobjdump 11.7.91 0 nvidia
cuda-cupti 11.7.101 0 nvidia
cuda-cuxxfilt 11.7.91 0 nvidia
cuda-demo-suite 12.0.140 0 nvidia
cuda-documentation 12.0.140 0 nvidia
cuda-libraries 11.7.1 0 nvidia
cuda-libraries-dev 11.7.1 0 nvidia
cuda-memcheck 11.8.86 0 nvidia
cuda-nsight-compute 12.0.1 0 nvidia
cuda-nvcc 11.7.99 0 nvidia
cuda-nvdisasm 12.0.140 0 nvidia
cuda-nvml-dev 11.7.91 0 nvidia
cuda-nvprof 12.0.146 0 nvidia
cuda-nvprune 11.7.91 0 nvidia
cuda-nvrtc 11.7.99 0 nvidia
cuda-nvrtc-dev 11.7.99 0 nvidia
cuda-nvtx 11.7.91 0 nvidia
cuda-nvvp 12.0.146 0 nvidia
cuda-runtime 11.7.1 0 nvidia
cuda-sanitizer-api 12.0.140 0 nvidia
cuda-toolkit 11.7.1 0 nvidia
cuda-tools 11.7.1 0 nvidia
cuda-visual-tools 11.7.1 0 nvidia
cudatoolkit 11.3.1 h59b6b97_2
cycler 0.11.0 pyhd3eb1b0_0
cytoolz 0.12.0 py39h2bbff1b_0
dask-core 2022.7.0 py39haa95532_0
faiss 1.7.1 py39hd7114ca_1_cpu conda-forge
fftw 3.3.9 h2bbff1b_1
flit-core 3.6.0 pyhd3eb1b0_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 ha860e81_0
fsspec 2022.11.0 py39haa95532_0
giflib 5.2.1 h8cc25b3_1
icc_rt 2022.1.0 h6049295_2
idna 3.4 py39haa95532_0
imagecodecs 2021.8.26 py39hc0a7faf_1
imageio 2.19.3 py39haa95532_0
intel-openmp 2021.4.0 haa95532_3556
jpeg 9e h2bbff1b_0
kiwisolver 1.4.4 py39hd77b12b_0
lcms2 2.12 h83e58a3_0
lerc 3.0 hd77b12b_0
libaec 1.0.4 h33f27b4_1
libblas 3.9.0 1_h8933c1f_netlib conda-forge
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libcublas 11.10.3.66 0 nvidia
libcublas-dev 11.10.3.66 0 nvidia
libcufft 10.7.2.124 0 nvidia
libcufft-dev 10.7.2.124 0 nvidia
libcurand 10.3.1.124 0 nvidia
libcurand-dev 10.3.1.124 0 nvidia
libcusolver 11.4.0.1 0 nvidia
libcusolver-dev 11.4.0.1 0 nvidia
libcusparse 11.7.4.91 0 nvidia
libcusparse-dev 11.7.4.91 0 nvidia
libdeflate 1.8 h2bbff1b_5
libfaiss 1.7.1 hf21947d_1_cpu conda-forge
libfaiss-avx2 1.7.1 h1234567_1_cpu conda-forge
libffi 3.2.1 ha925a31_1007
liblapack 3.9.0 5_hd5c7e75_netlib conda-forge
libnpp 11.7.4.75 0 nvidia
libnpp-dev 11.7.4.75 0 nvidia
libnvjpeg 11.8.0.2 0 nvidia
libnvjpeg-dev 11.8.0.2 0 nvidia
libpng 1.6.37 h2a8f88b_0
libtiff 4.5.0 h6c2663c_1
libuv 1.40.0 he774522_0
libwebp 1.2.4 h2bbff1b_0
libwebp-base 1.2.4 h2bbff1b_0
libzopfli 1.0.3 ha925a31_0
locket 1.0.0 py39haa95532_0
lz4-c 1.9.4 h2bbff1b_0
m2-bash 4.3.042 5 conda-forge
m2-gcc-libs 5.3.0 4 conda-forge
m2-libedit 3.1 20150326 conda-forge
m2-msys2-runtime 2.5.0.17080.65c939c 3 conda-forge
m2-ncurses 6.0.20160220 2 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
matplotlib-base 3.6.2 py39h1094b8e_0
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py39h2bbff1b_0
mkl_fft 1.3.1 py39h277e83a_0
mkl_random 1.2.2 py39hf11a4ad_0
msys2-conda-epoch 20160418 1 conda-forge
munkres 1.1.4 py_0
networkx 2.8.4 py39haa95532_0
ninja 1.11.1 pypi_0 pypi
nsight-compute 2022.4.1.6 0 nvidia
numpy 1.23.5 py39h3b20f71_0
numpy-base 1.23.5 py39h4da318b_0
opencv-python 4.5.3.56 pypi_0 pypi
openjpeg 2.4.0 h4fc8c34_0
openssl 1.1.1s hcfcfb64_1 conda-forge
packaging 22.0 py39haa95532_0
partd 1.2.0 pyhd3eb1b0_1
pillow 9.3.0 py39hd77b12b_2
pip 22.3.1 py39haa95532_0
pycparser 2.21 pyhd3eb1b0_0
pyopenssl 22.0.0 pyhd3eb1b0_0
pyparsing 3.0.9 py39haa95532_0
pysocks 1.7.1 py39haa95532_0
python 3.9.16 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python-lmdb 1.2.1 py39hd77b12b_1
python_abi 3.9 2_cp39 conda-forge
pytorch 1.13.1 py3.9_cuda11.7_cudnn8_0 pytorch
pytorch-cuda 11.7 h67b0de4_1 pytorch
pytorch-mutex 1.0 cuda pytorch
pywavelets 1.4.1 py39h2bbff1b_0
pyyaml 6.0 py39h2bbff1b_1
requests 2.28.1 py39haa95532_0
scikit-image 0.19.3 py39hd77b12b_1
scipy 1.9.3 py39he11b74f_0
setuptools 65.6.3 py39haa95532_0
six 1.16.0 pyhd3eb1b0_1
snappy 1.1.9 h6c2663c_0
sqlite 3.40.1 h2bbff1b_0
tifffile 2021.7.2 pyhd3eb1b0_2
tk 8.6.12 h2bbff1b_0
toolz 0.12.0 py39haa95532_0
torchaudio 0.13.1 pypi_0 pypi
torchvision 0.14.1 pypi_0 pypi
tqdm 4.64.1 pypi_0 pypi
typing_extensions 4.4.0 py39haa95532_0
tzdata 2022g h04d1e81_0
ucrt 10.0.20348.0 haa95532_0
urllib3 1.26.14 py39haa95532_0
vc 14.2 h21ff451_1
vs2015_runtime 14.34.31931 h4c5c07a_10 conda-forge
wget 3.2 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0
win_inet_pton 1.1.0 py39haa95532_0
wincertstore 0.2 py39haa95532_2
xz 5.2.10 h8cc25b3_1
yaml 0.2.5 he774522_0
zfp 0.5.5 hd77b12b_6
zlib 1.2.13 h8cc25b3_0
zstd 1.5.2 h19a0ad4_0
I used a test computer so I did not want to install the whole Visual Studio on it and I installed just "vs_BuildTools.exe" (and I think I chose "CPP" in its installer). Then I ran
"c:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\VC\Auxiliary\Build\vcvarsx86_amd64.bat"
from Anaconda prompt to modify %PATH% and then it started to work.
(FYI I used RTX 3060 with 8 GB RAM.)
@vitacon
i have installed pkgs, then i run the vcvarsx86_amd64.bat,
and you say: from Anaconda prompt to modify %PATH% , how ? is that add cl.exe to PATH ?
when after install vs_BuildTools.exe, i find nothing changed in PATH.
@vitacon , @williamyang1991
i try to add cl.exe in ...xxx/hostx64/x64 to PATH,
after activate conda virtual env๏ผ when i run python style_transfer.py --scale_image , it use cuda11.3 (my real main env) to compile instead of cuda11.7 in conda env. why and how ?
@vitacon , @williamyang1991
i am sucessful running the project in win10๏ผ
Thank you for you help!
@luoww1992 You are too quick. ;) Congratulation! =)
Just to explain it a bit more:
As far as I know "vcvarsx86_amd64.bat" sets all the necessary variables. I usually create some batch file to activate the environment (init.cmd: conda activate ...) so I did not bother editing system path and I just added "call fullpath-to-vcvarsx86_amd64.bat" to my "init.cmd" file and I was done. That's just a matter of taste. =)
@vitacon
i tested to run the vcvarsx86_amd64.bat, but nothing changed in PATH, so i add it manually.
๏ผ๏ผpip install cmake matplotlib ninja numpy opencv-python==4.5.3.56 scipy tqdm wget
Traceback (most recent call last):
File "D:\anaconda\envs\newpic\Scripts\pip-script.py", line 6, in
from pip._internal.cli.main import main
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\cli\main.py", line 10, in
from pip._internal.cli.autocompletion import autocomplete
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\cli\autocompletion.py", line 10, in
from pip._internal.cli.main_parser import create_main_parser
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\cli\main_parser.py", line 9, in
from pip._internal.build_env import get_runnable_pip
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\build_env.py", line 19, in
from pip._internal.cli.spinners import open_spinner
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\cli\spinners.py", line 9, in
from pip._internal.utils.logging import get_indentation
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\utils\logging.py", line 29, in
from pip._internal.utils.misc import ensure_dir
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\utils\misc.py", line 44, in
from pip.internal.locations import get_major_minor_version
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\locations_init.py", line 14, in
from . import _sysconfig
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\locations_sysconfig.py", line 11, in
from .base import change_root, get_major_minor_version, is_osx_framework
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\locations\base.py", line 9, in
from pip._internal.utils import appdirs
File "D:\anaconda\envs\newpic\lib\site-packages\pip_internal\utils\appdirs.py", line 13, in
from pip._vendor import platformdirs as appdirs
File "D:\anaconda\envs\newpic\lib\site-packages\pip_vendor\platformdirs_init.py", line 46, in
PlatformDirs = set_platform_dir_class() #: Currently active platform
File "D:\anaconda\envs\newpic\lib\site-packages\pip_vendor\platformdirs_init.py", line 26, in _set_platform_dir_class
from pip.vendor.platformdirs.windows import Windows as Result
File "D:\anaconda\envs\newpic\lib\site-packages\pip_vendor\platformdirs\windows.py", line 4, in
import ctypes
File "D:\anaconda\envs\newpic\lib\ctypes_init.py", line 8, in
from _ctypes import Union, Structure, Array
ImportError: DLL load failed while importing _ctypes: ๆพไธๅฐๆๅฎ็ๆจกๅใ
D:\xiangmuproject\VToonify-main>python style_transfer.py ./data/908.mp4 -ckpt ./checkpoint/vtoonify.pt
Traceback (most recent call last):
File "D:\xiangmuproject\VToonify-main\style_transfer.py", line 8, in
from torchvision import transforms
File "D:\anaconda\envs\vtvideo\lib\site-packages\torchvision_init_.py", line 7, in
from torchvision import datasets
File "D:\anaconda\envs\vtvideo\lib\site-packages\torchvision\datasets_init_.py", line 1, in
from .lsun import LSUN, LSUNClass
File "D:\anaconda\envs\vtvideo\lib\site-packages\torchvision\datasets\lsun.py", line 2, in
from PIL import Image
File "D:\anaconda\envs\vtvideo\lib\site-packages\PIL\Image.py", line 114, in
from . import _imaging as core
ImportError: DLL load failed while importing _imaging: ๆพไธๅฐๆๅฎ็ๆจกๅใ
how can i do
line 114, in from . import _imaging as core ImportError: DLL load failed while importing _imaging: ๆพไธๅฐๆๅฎ็ๆจก
I got the same error
(vtoon) C:\usable\VToonify>python style_transfer.py --scale_image
Traceback (most recent call last):
File "C:\usable\VToonify\style_transfer.py", line 8, in <module>
from torchvision import transforms
File "C:\Users\nitin\miniconda3\envs\vtoon\lib\site-packages\torchvision\__init__.py", line 10, in <module>
from torchvision import _meta_registrations, datasets, io, models, ops, transforms, utils # usort:skip
File "C:\Users\nitin\miniconda3\envs\vtoon\lib\site-packages\torchvision\datasets\__init__.py", line 1, in <module>
from ._optical_flow import FlyingChairs, FlyingThings3D, HD1K, KittiFlow, Sintel
File "C:\Users\nitin\miniconda3\envs\vtoon\lib\site-packages\torchvision\datasets\_optical_flow.py", line 10, in <module>
from PIL import Image
File "C:\Users\nitin\miniconda3\envs\vtoon\lib\site-packages\PIL\Image.py", line 100, in <module>
from . import _imaging as core
ImportError: DLL load failed while importing _imaging: The specified module could not be found.
Solution:
pip install pillow==9.0.0
Next error
(vtoon) C:\usable\VToonify>python style_transfer.py --scale_image
C:\Users\nitin\miniconda3\envs\vtoon\lib\site-packages\torch\utils\cpp_extension.py:1965: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
warnings.warn(
Traceback (most recent call last):
File "C:\usable\VToonify\style_transfer.py", line 11, in <module>
from model.vtoonify import VToonify
File "C:\usable\VToonify\model\vtoonify.py", line 5, in <module>
from model.stylegan.model import ConvLayer, EqualLinear, Generator, ResBlock
File "C:\usable\VToonify\model\stylegan\model.py", line 11, in <module>
from model.stylegan.op import FusedLeakyReLU, fused_leaky_relu, upfirdn2d, conv2d_gradfix
File "C:\usable\VToonify\model\stylegan\op\__init__.py", line 1, in <module>
from .fused_act import FusedLeakyReLU, fused_leaky_relu
File "C:\usable\VToonify\model\stylegan\op\fused_act.py", line 11, in <module>
fused = load(
File "C:\Users\nitin\miniconda3\envs\vtoon\lib\site-packages\torch\utils\cpp_extension.py", line 1312, in load
return _jit_compile(
File "C:\Users\nitin\miniconda3\envs\vtoon\lib\site-packages\torch\utils\cpp_extension.py", line 1747, in _jit_compile
return _import_module_from_library(name, build_directory, is_python_module)
File "C:\Users\nitin\miniconda3\envs\vtoon\lib\site-packages\torch\utils\cpp_extension.py", line 2141, in _import_module_from_library
module = importlib.util.module_from_spec(spec)
ImportError: DLL load failed while importing fused: The specified module could not be found.