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Tramac / awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Apache License 2.0
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problem when: python setup.py build develop #53

Closed electronicYH closed 5 years ago

electronicYH commented 5 years ago

yh@amax:/data/yh/proj/awesome-semantic-segmentation-pytorch/core/nn$ python setup.py build develop running build running build_ext building '._C' extension gcc -pthread -B /home/yh/.conda/envs/yh/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/data/yh/proj/awesome-semantic-segmentation-pytorch/core/nn/csrc -I/home/yh/.conda/envs/yh/lib/python3.6/site-packages/torch/lib/include -I/home/yh/.conda/envs/yh/lib/python3.6/site-packages/torch/lib/include/TH -I/home/yh/.conda/envs/yh/lib/python3.6/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/home/yh/.conda/envs/yh/include/python3.6m -c /data/yh/proj/awesome-semantic-segmentation-pytorch/core/nn/csrc/vision.cpp -o build/temp.linux-x86_64-3.6/data/yh/proj/awesome-semantic-segmentation-pytorch/core/nn/csrc/vision.o -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ In file included from /data/yh/proj/awesome-semantic-segmentation-pytorch/core/nn/csrc/ca.h:3:0, from /data/yh/proj/awesome-semantic-segmentation-pytorch/core/nn/csrc/vision.cpp:1: /data/yh/proj/awesome-semantic-segmentation-pytorch/core/nn/csrc/cpu/vision.h:2:29: fatal error: torch/extension.h: No such file or directory compilation terminated. error: command 'gcc' failed with exit status 1

electronicYH commented 5 years ago

please help me

Tramac commented 5 years ago

Which your Pytorch version?

electronicYH commented 5 years ago

python Python 3.6.4 |Anaconda, Inc.| (default, Jan 16 2018, 18:10:19) [GCC 7.2.0] on linux Type "help", "copyright", "credits" or "license" for more information.

import torch torch.version '0.4.1'

Tramac commented 5 years ago

Please update Pytorch to version 1.1.