detectron2: RuntimeError: CUDA error: no kernel image is available for execution on the device
Hi, I’m using detectron2 on a computing cluster and thus have various gpus that the code will be run on as per allocation. detectron was installed successfully and i’m able to import it from python.
However I get the following error on certain(most) gpus:
RuntimeError: CUDA error: no kernel image is available for execution on the device (ROIAlign_forward_cuda at /network/home/guptagun/od/detectron2_repo/detectron2/layers/csrc/ROIAlign/ROIAlign_cuda.cu:361)
frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x47 (0x7f2459bbc687 in /network/home/guptagun/anaconda3/envs/detectron/lib/python3.7/site-packages/torch/lib/libc10.so)
frame #1: detectron2::ROIAlign_forward_cuda(at::Tensor const&, at::Tensor const&, float, int, int, int, bool) + 0xa24 (0x7f23f419189c in /network/home/guptagun/od/detectron2_repo/detectron2/_C.cpython-37m-x86_64-linux-gnu.so)
frame #2: detectron2::ROIAlign_forward(at::Tensor const&, at::Tensor const&, float, int, int, int, bool) + 0xb6 (0x7f23f4132f66 in /network/home/guptagun/od/detectron2_repo/detectron2/_C.cpython-37m-x86_64-linux-gnu.so)
frame #3: <unknown function> + 0x4ec8f (0x7f23f4144c8f in /network/home/guptagun/od/detectron2_repo/detectron2/_C.cpython-37m-x86_64-linux-gnu.so)
frame #4: <unknown function> + 0x49750 (0x7f23f413f750 in /network/home/guptagun/od/detectron2_repo/detectron2/_C.cpython-37m-x86_64-linux-gnu.so)
<omitting python frames>
frame #9: THPFunction_apply(_object*, _object*) + 0x8d6 (0x7f245a4abe96 in /network/home/guptagun/anaconda3/envs/detectron/lib/python3.7/site-packages/torch/lib/libtorch_python.so)
While on some gpus (one of them being Geforce GTX) the code runs as expected.
I was trying to run the demo.py file through:
python detectron2_repo/demo/demo.py --config-file detectron2_repo/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml --input ./leftImg8bit.png --opts MODEL.WEIGHTS detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl
Environment
output of python -m detectron2.utils.collect_env.
------------------------ --------------------------------------------------
sys.platform linux
Python 3.7.5 (default, Oct 25 2019, 15:51:11) [GCC 7.3.0]
Numpy 1.15.4
Detectron2 Compiler GCC 7.4
Detectron2 CUDA Compiler 10.0
DETECTRON2_ENV_MODULE <not set>
PyTorch 1.3.0
PyTorch Debug Build False
torchvision 0.4.1a0+d94043a
CUDA available True
GPU 0 GeForce GTX TITAN X
CUDA_HOME None
Pillow 5.3.0
cv2 4.1.0
------------------------ --------------------------------------------------
PyTorch built with:
- GCC 7.3
- Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications
- Intel(R) 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,
when i build detectron using : python setup.py build develop TORCH_CUDA_ARCH_LIST was set empty, and so it should have been compiled for all architectures? (acc to https://github.com/facebookresearch/detectron2/issues/62#issuecomment-549432420) What can I do while compiling so that I’m able to use detectron on most gpus, or is this an issue with the compute node I’m using?
Thanks, Gunshi
About this issue
- Original URL
- State: closed
- Created 5 years ago
- Comments: 19 (7 by maintainers)
@ppwwyyxx I am facing the exact same issue and my pytorch and detectron2 are compiled with exact same cuda versions. Also, I am facing this issue when I try to run detectron2 on different GPU than the one I have used to compile it. Here I compiled with titanX GPU, so it doesn’t work on titanrtx or other GPUs. Note that I haven’t installed using pip as I am modifying the codebase(only python files, not touching any cuda implementation) for my research, not sure if that has any effect though. Here is the output of python -m detectron2.utils.collect_env. Could you try installing on one GPU and test on other and see if this is general issue or I messed something up.
You need to rebuild detectron2 with
export TORCH_CUDA_ARCH_LIST=6.0;7.0. Or build on the machine where you run detectron2.Hi, I have actually tried loading both cuda/10.0 and cuda/10.1 modules one by one before running the demo.py command and i still get the error, are you saying i should install pytorch and then detectron2 again but after loading cuda 10.0 specifically?
Your cuda versions mismatch and that’s not allowed.