Open biggeR-data opened 1 year ago
You've chosen to report an unexpected problem or bug. Unless you already know the root cause of it, please include details about it by filling the issue template. The following information is missing: "Instructions To Reproduce the Issue and Full Logs"; "Your Environment";
Full runnable code or full changes you made: No changes were made. The used version (v0.5) is identical with the related code section of the current main branch.
What exact command you run: python train_net.py --num-gpus 1 --config-file ./configs/fp-geom/cc5k/R50.yaml OUTPUT_DIR logs/runs/R50
Full logs or other relevant observations: Logs are not relevant in this case as the source code itself might be the cause of a mixup in metrics.
Evaluation metrics should calculate actual per class accuracy and not per class recall.
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sys.platform linux
Python 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0]
numpy 1.21.5
detectron2 0.5 @/home/stud2/patrick_bigge/experiment/setup/detectron2-0.5/detectron2
Compiler GCC 9.4
CUDA compiler CUDA 11.5
detectron2 arch flags 7.0
DETECTRON2_ENV_MODULE <not set>
PyTorch 1.7.1 @/home/stud2/miniconda3/envs/p37t17det2_2/lib/python3.7/site-packages/torch
PyTorch debug build False
GPU available Yes
GPU 0 GRID V100S-16C (arch=7.0)
CUDA_HOME /usr/local/cuda
Pillow 9.3.0
torchvision 0.8.2 @/home/stud2/miniconda3/envs/p37t17det2_2/lib/python3.7/site-packages/torchvision
torchvision arch flags 3.5, 5.0, 6.0, 7.0, 7.5, 8.0
fvcore 0.1.5.post20210915
iopath 0.1.9
cv2 4.1.2
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PyTorch built with:
- GCC 7.3
- C++ Version: 201402
- Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 11.0
- NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-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_80,code=sm_80;-gencode;arch=compute_37,code=compute_37
- CuDNN 8.0.5
- Magma 2.5.2
- Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -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-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -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 -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, 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,
Any news on this @ppwwyyxx ?
Discussed in https://github.com/facebookresearch/detectron2/discussions/4861