python setup.py build develop

Open Cuibaby opened this issue 3 years ago • 0 comments

您好，感谢分享code。我在安装你的环境是出现了以下错误，如有时间希望你能提供帮助，万分感谢。我的环境是：Python 3.8.13 pip 包： Package Version

brotlipy 0.7.0 certifi 2022.5.18.1 cffi 1.15.0 charset-normalizer 2.0.4 cryptography 37.0.1 idna 3.3 mkl-fft 1.3.1 mkl-random 1.2.2 mkl-service 2.4.0 numpy 1.22.3 Pillow 9.0.1 pip 21.2.4 pycparser 2.21 pyOpenSSL 22.0.0 PySocks 1.7.1 requests 2.27.1 setuptools 61.2.0 six 1.16.0 terminaltables 3.1.0 torch 1.8.0 torchvision 0.9.0 typing_extensions 4.1.1 urllib3 1.26.9 wheel 0.37.1

/home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/setuptools/installer.py:27: SetuptoolsDeprecationWarning: setuptools.installer is deprecated. Requirements should be satisfied by a PEP 517 installer. warnings.warn( running build running build_py creating build creating build/lib.linux-x86_64-3.8 creating build/lib.linux-x86_64-3.8/clrnet copying clrnet/init.py -> build/lib.linux-x86_64-3.8/clrnet creating build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/tusimple_metric.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/init.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/config.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/net_utils.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/logger.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/recorder.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/visualization.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/lane.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/registry.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/llamas_metric.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/llamas_utils.py -> build/lib.linux-x86_64-3.8/clrnet/utils copying clrnet/utils/culane_metric.py -> build/lib.linux-x86_64-3.8/clrnet/utils creating build/lib.linux-x86_64-3.8/clrnet/models copying clrnet/models/init.py -> build/lib.linux-x86_64-3.8/clrnet/models copying clrnet/models/registry.py -> build/lib.linux-x86_64-3.8/clrnet/models creating build/lib.linux-x86_64-3.8/clrnet/datasets copying clrnet/datasets/tusimple.py -> build/lib.linux-x86_64-3.8/clrnet/datasets copying clrnet/datasets/init.py -> build/lib.linux-x86_64-3.8/clrnet/datasets copying clrnet/datasets/llamas.py -> build/lib.linux-x86_64-3.8/clrnet/datasets copying clrnet/datasets/culane.py -> build/lib.linux-x86_64-3.8/clrnet/datasets copying clrnet/datasets/registry.py -> build/lib.linux-x86_64-3.8/clrnet/datasets copying clrnet/datasets/base_dataset.py -> build/lib.linux-x86_64-3.8/clrnet/datasets creating build/lib.linux-x86_64-3.8/clrnet/engine copying clrnet/engine/scheduler.py -> build/lib.linux-x86_64-3.8/clrnet/engine copying clrnet/engine/init.py -> build/lib.linux-x86_64-3.8/clrnet/engine copying clrnet/engine/optimizer.py -> build/lib.linux-x86_64-3.8/clrnet/engine copying clrnet/engine/runner.py -> build/lib.linux-x86_64-3.8/clrnet/engine copying clrnet/engine/registry.py -> build/lib.linux-x86_64-3.8/clrnet/engine creating build/lib.linux-x86_64-3.8/clrnet/ops copying clrnet/ops/init.py -> build/lib.linux-x86_64-3.8/clrnet/ops copying clrnet/ops/nms.py -> build/lib.linux-x86_64-3.8/clrnet/ops creating build/lib.linux-x86_64-3.8/clrnet/models/necks copying clrnet/models/necks/init.py -> build/lib.linux-x86_64-3.8/clrnet/models/necks copying clrnet/models/necks/fpn.py -> build/lib.linux-x86_64-3.8/clrnet/models/necks copying clrnet/models/necks/pafpn.py -> build/lib.linux-x86_64-3.8/clrnet/models/necks creating build/lib.linux-x86_64-3.8/clrnet/models/utils copying clrnet/models/utils/init.py -> build/lib.linux-x86_64-3.8/clrnet/models/utils copying clrnet/models/utils/roi_gather.py -> build/lib.linux-x86_64-3.8/clrnet/models/utils copying clrnet/models/utils/dynamic_assign.py -> build/lib.linux-x86_64-3.8/clrnet/models/utils copying clrnet/models/utils/seg_decoder.py -> build/lib.linux-x86_64-3.8/clrnet/models/utils creating build/lib.linux-x86_64-3.8/clrnet/models/nets copying clrnet/models/nets/init.py -> build/lib.linux-x86_64-3.8/clrnet/models/nets copying clrnet/models/nets/detector.py -> build/lib.linux-x86_64-3.8/clrnet/models/nets creating build/lib.linux-x86_64-3.8/clrnet/models/backbones copying clrnet/models/backbones/resnet.py -> build/lib.linux-x86_64-3.8/clrnet/models/backbones copying clrnet/models/backbones/init.py -> build/lib.linux-x86_64-3.8/clrnet/models/backbones copying clrnet/models/backbones/dla34.py -> build/lib.linux-x86_64-3.8/clrnet/models/backbones creating build/lib.linux-x86_64-3.8/clrnet/models/heads copying clrnet/models/heads/init.py -> build/lib.linux-x86_64-3.8/clrnet/models/heads copying clrnet/models/heads/clr_head.py -> build/lib.linux-x86_64-3.8/clrnet/models/heads creating build/lib.linux-x86_64-3.8/clrnet/models/losses copying clrnet/models/losses/init.py -> build/lib.linux-x86_64-3.8/clrnet/models/losses copying clrnet/models/losses/accuracy.py -> build/lib.linux-x86_64-3.8/clrnet/models/losses copying clrnet/models/losses/lineiou_loss.py -> build/lib.linux-x86_64-3.8/clrnet/models/losses copying clrnet/models/losses/focal_loss.py -> build/lib.linux-x86_64-3.8/clrnet/models/losses creating build/lib.linux-x86_64-3.8/clrnet/datasets/process copying clrnet/datasets/process/init.py -> build/lib.linux-x86_64-3.8/clrnet/datasets/process copying clrnet/datasets/process/generate_lane_line.py -> build/lib.linux-x86_64-3.8/clrnet/datasets/process copying clrnet/datasets/process/process.py -> build/lib.linux-x86_64-3.8/clrnet/datasets/process copying clrnet/datasets/process/transforms.py -> build/lib.linux-x86_64-3.8/clrnet/datasets/process running egg_info creating clrnet.egg-info writing clrnet.egg-info/PKG-INFO writing dependency_links to clrnet.egg-info/dependency_links.txt writing requirements to clrnet.egg-info/requires.txt writing top-level names to clrnet.egg-info/top_level.txt writing manifest file 'clrnet.egg-info/SOURCES.txt' /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/utils/cpp_extension.py:369: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend. warnings.warn(msg.format('we could not find ninja.')) reading manifest file 'clrnet.egg-info/SOURCES.txt' adding license file 'LICENSE' writing manifest file 'clrnet.egg-info/SOURCES.txt' running build_ext building 'clrnet.ops.nms_impl' extension creating build/temp.linux-x86_64-3.8 creating build/temp.linux-x86_64-3.8/clrnet creating build/temp.linux-x86_64-3.8/clrnet/ops creating build/temp.linux-x86_64-3.8/clrnet/ops/csrc gcc -pthread -B /home/qzy/anaconda3/envs/clrnet/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include -I/home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/TH -I/home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/THC -I/home/qzy/anaconda3/envs/clrnet/include/python3.8 -c ./clrnet/ops/csrc/nms.cpp -o build/temp.linux-x86_64-3.8/./clrnet/ops/csrc/nms.o -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -DTORCH_EXTENSION_NAME=nms_impl -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ In file included from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/Parallel.h:140:0, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:13, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/extension.h:4, from ./clrnet/ops/csrc/nms.cpp:30: /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/ParallelOpenMP.h:83:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas] #pragma omp parallel for if ((end - begin) >= grain_size) ^ In file included from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/core/Device.h:5:0, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/core/Allocator.h:6, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/ATen.h:7, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/extension.h:4, from ./clrnet/ops/csrc/nms.cpp:30: ./clrnet/ops/csrc/nms.cpp: In function ‘std::vectorat::Tensor nms_forward(at::Tensor, at::Tensor, float, long unsigned int)’: ./clrnet/ops/csrc/nms.cpp:40:41: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations] #define CHECK_CUDA(x) AT_ASSERTM(x.type().is_cuda(), #x " must be a CUDA tensor") ^ /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/util/Exception.h:225:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’ #define C10_EXPAND_MSVC_WORKAROUND(x) x ^ /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/util/Exception.h:244:34: note: in expansion of macro ‘C10_UNLIKELY’ #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e) ^ /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/util/Exception.h:291:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’ if (C10_UNLIKELY_OR_CONST(!(cond))) {
^ /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/util/Exception.h:484:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’ C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, VA_ARGS));
^ ./clrnet/ops/csrc/nms.cpp:40:23: note: in expansion of macro ‘AT_ASSERTM’ #define CHECK_CUDA(x) AT_ASSERTM(x.type().is_cuda(), #x " must be a CUDA tensor") ^ ./clrnet/ops/csrc/nms.cpp:42:24: note: in expansion of macro ‘CHECK_CUDA’ #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x) ^ ./clrnet/ops/csrc/nms.cpp:53:5: note: in expansion of macro ‘CHECK_INPUT’ CHECK_INPUT(boxes); ^ In file included from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/Tensor.h:3:0, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/Context.h:4, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/ATen.h:9, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/extension.h:4, from ./clrnet/ops/csrc/nms.cpp:30: /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here DeprecatedTypeProperties & type() const { ^ In file included from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/core/Device.h:5:0, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/core/Allocator.h:6, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/ATen.h:7, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/extension.h:4, from ./clrnet/ops/csrc/nms.cpp:30: ./clrnet/ops/csrc/nms.cpp:40:41: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations] #define CHECK_CUDA(x) AT_ASSERTM(x.type().is_cuda(), #x " must be a CUDA tensor") ^ /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/util/Exception.h:225:39: note: in definition of macro ‘C10_EXPAND_MSVC_WORKAROUND’ #define C10_EXPAND_MSVC_WORKAROUND(x) x ^ /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/util/Exception.h:244:34: note: in expansion of macro ‘C10_UNLIKELY’ #define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e) ^ /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/util/Exception.h:291:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’ if (C10_UNLIKELY_OR_CONST(!(cond))) {
^ /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/c10/util/Exception.h:484:32: note: in expansion of macro ‘TORCH_INTERNAL_ASSERT’ C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, VA_ARGS));
^ ./clrnet/ops/csrc/nms.cpp:40:23: note: in expansion of macro ‘AT_ASSERTM’ #define CHECK_CUDA(x) AT_ASSERTM(x.type().is_cuda(), #x " must be a CUDA tensor") ^ ./clrnet/ops/csrc/nms.cpp:42:24: note: in expansion of macro ‘CHECK_CUDA’ #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x) ^ ./clrnet/ops/csrc/nms.cpp:54:5: note: in expansion of macro ‘CHECK_INPUT’ CHECK_INPUT(idx); ^ In file included from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/Tensor.h:3:0, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/Context.h:4, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/ATen.h:9, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8, from /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/extension.h:4, from ./clrnet/ops/csrc/nms.cpp:30: /home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here DeprecatedTypeProperties & type() const { ^ /usr/bin/nvcc -I/home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include -I/home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/TH -I/home/qzy/anaconda3/envs/clrnet/lib/python3.8/site-packages/torch/include/THC -I/home/qzy/anaconda3/envs/clrnet/include/python3.8 -c ./clrnet/ops/csrc/nms_kernel.cu -o build/temp.linux-x86_64-3.8/./clrnet/ops/csrc/nms_kernel.o -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=nms_impl -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_70,code=compute_70 -gencode=arch=compute_70,code=sm_70 -std=c++14 nvcc fatal : Path to libdevice library not specified error: command '/usr/bin/nvcc' failed with exit code 1 我把setup.py中的： ext_modules=get_extensions(),注释掉不会报错。

May 21 '22 17:05 Cuibaby