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I cant train the model when set BASICSR_JIT == 'True' #138
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Originally created by @1145520074 on GitHub (Dec 23, 2021).
The error is as following:
Traceback (most recent call last):
File "/data/zx/miniconda3/envs/D22/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 1723, in _run_ninja_build
env=env)
File "/data/zx/miniconda3/envs/D22/lib/python3.7/subprocess.py", line 512, in run
output=stdout, stderr=stderr)
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 "gfpgan/train.py", line 3, in
from basicsr.train import train_pipeline
File "/data/zx/miniconda3/envs/D22/lib/python3.7/site-packages/basicsr/init.py", line 3, in
from .archs import *
File "/data/zx/miniconda3/envs/D22/lib/python3.7/site-packages/basicsr/archs/init.py", line 16, in
_arch_modules = [importlib.import_module(f'basicsr.archs.{file_name}') for file_name in arch_filenames]
@@@
RuntimeError: Error building extension 'deform_conv': [1/2] /usr/bin/nvcc -DTORCH_EXTENSION_NAME=deform_conv -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /data/zx/miniconda3/envs/D22/lib/python3.7/site-packages/torch/include -isystem /data/zx/miniconda3/envs/D22/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /data/zx/miniconda3/envs/D22/lib/python3.7/site-packages/torch/include/TH -isystem /data/zx/miniconda3/envs/D22/lib/python3.7/site-packages/torch/include/THC -isystem /data/zx/miniconda3/envs/D22/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_70,code=compute_70 -gencode=arch=compute_70,code=sm_70 --compiler-options '-fPIC' -std=c++14 -c /data/zx/miniconda3/envs/D22/lib/python3.7/site-packages/basicsr/ops/dcn/src/deform_conv_cuda_kernel.cu -o deform_conv_cuda_kernel.cuda.o
Thanks!
@maliho0803 commented on GitHub (May 9, 2022):
how to resolve it?