Detectron2 CUDA Compiler not available

After so many commits since October, I tried to reinstall my Detectron2. However, I met some problems with the code

1. what changes you made (git diff) or what code you wrote

I didn't change anything

1. what exact command you run: I tried to install by typing python setup.py build develop

2. what you observed (including the full logs):

File "setup.py", line 63
    def get_model_zoo_configs() -> List[str]:
                                ^
SyntaxError: invalid syntax

Expected behavior

File “setup.py”, line 63 def get_model_zoo_configs() -> List[str]: ^ SyntaxError: invalid syntax

Environment

sys.platform linux Python 3.6.8 (default, Oct 7 2019, 12:59:55) [GCC 8.3.0] Numpy 1.17.4 detectron2._C failed to import DETECTRON2_ENV_MODULE <not set> PyTorch 1.3.0 PyTorch Debug Build False torchvision 0.4.1 CUDA available True GPU 0 GeForce RTX 2070 SUPER CUDA_HOME None Pillow 6.2.1 cv2 3.2.0

---

PyTorch built with:

• GCC 7.3
• Intel® Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel® 64 architecture applications
• Intel® MKL-DNN v0.20.5 (Git Hash 0125f28c61c1f822fd48570b4c1066f96fcb9b2e)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• NNPACK is enabled
• CUDA Runtime 10.1
• NVCC architecture flags: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_50,code=compute_50
• CuDNN 7.6.3
• Magma 2.5.1
• Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=True, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF,

[ppwwyyxx]

CUDA_HOME None

This means pytorch cannot find cuda compiler. You can verify this by

from torch.utils.cpp_extension import CUDA_HOME

and print it. This is then not a detectron2 issue.

You can try including nvcc in your $PATH or some other ways to inform pytorch of your cuda installation. You can also ask in https://discuss.pytorch.org/.

Closing as the original issue is solved and the new issue is not about detectron2.

[jas-nat]

Thank you very much for the explanation. Sorry for asking question outside of detectron2