Comments (5)
Hi, first welcome to use our project!
And could you provide your command history before make -j$(nproc)
?
Also, if you could provide the result after executing python tools/check_env.py
is better.
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Hi, first welcome to use our project! And could you provide your command history before
make -j$(nproc)
? Also, if you could provide the result after executingpython tools/check_env.py
is better.
Hi, I have the same problem, and the result after executing python tools/check_env.py is
INFO:root:sys.platform: linux
INFO:root:Python: 3.7.10 (default, Feb 26 2021, 18:47:35) [GCC 7.3.0]
INFO:root:CUDA available: True
INFO:root:GPU 0,1,2,3: Tesla P40
INFO:root:CUDA_HOME: /usr/local/cuda-11.1
INFO:root:NVCC: Build cuda_11.1.TC455_06.29069683_0
INFO:root:GCC: gcc (Ubuntu 5.5.0-12ubuntu1) 5.5.0 20171010
INFO:root:PyTorch: 1.9.0+cu111
INFO:root:PyTorch compiling details: PyTorch built with:
- GCC 7.3
- C++ Version: 201402
- Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 11.1
- 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_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86
- CuDNN 8.0.5
- Magma 2.5.2
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -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, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=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,
INFO:root:TorchVision: 0.10.0+cu111
INFO:root:OpenCV: 4.5.2
INFO:root:MMCV: 1.3.15
INFO:root:MMCV Compiler: GCC 7.3
INFO:root:MMCV CUDA Compiler: 11.1
INFO:root:MMDeployment: 0.1.0+c6fccd0
INFO:root:onnxruntime: 1.8.1 ops_is_avaliable : True
INFO:root:tensorrt: 7.2.3.4 ops_is_avaliable : True
INFO:root:ncnn: None ops_is_avaliable : False
INFO:root:pplnn_is_avaliable: False
INFO:root:openvino_is_avaliable: False
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INFO:root:GCC: gcc (Ubuntu 5.5.0-12ubuntu1) 5.5.0 20171010
Attention to this info. You could have a try to upgrade gcc and g++ to gcc-7 and g++-7.
from mmdeploy.
INFO:root:GCC: gcc (Ubuntu 5.5.0-12ubuntu1) 5.5.0 20171010
Attention to this info. You could have a try to upgrade gcc and g++ to gcc-7 and g++-7.
Thanks for your answer ,I had installed gcc-7 and g++-7, but it doesn't be set to default setting, and I solve it by:
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-7 20 --slave /usr/bin/g++ g++ /usr/bin/g++-7
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Hi, first welcome to use our project! And could you provide your command history before
make -j$(nproc)
? Also, if you could provide the result after executingpython tools/check_env.py
is better.
Hi, I have the same problem, and the result after executing python tools/check_env.py is
10/26 15:27:22 - mmengine - INFO - Environmental information
10/26 15:27:23 - mmengine - INFO - sys.platform: linux
10/26 15:27:23 - mmengine - INFO - Python: 3.8.18 (default, Sep 11 2023, 13:40:15) [GCC 11.2.0]
10/26 15:27:23 - mmengine - INFO - CUDA available: True
10/26 15:27:23 - mmengine - INFO - numpy_random_seed: 2147483648
10/26 15:27:23 - mmengine - INFO - GPU 0,1,2,3: NVIDIA GeForce RTX 2080 Ti
10/26 15:27:23 - mmengine - INFO - CUDA_HOME: /usr/local/cuda
10/26 15:27:23 - mmengine - INFO - NVCC: Cuda compilation tools, release 11.1, V11.1.74
10/26 15:27:23 - mmengine - INFO - GCC: gcc (GCC) 7.3.1 20180303 (Red Hat 7.3.1-5)
10/26 15:27:23 - mmengine - INFO - PyTorch: 1.10.1+cu111
10/26 15:27:23 - mmengine - INFO - PyTorch compiling details: PyTorch built with:
- GCC 7.3
- C++ Version: 201402
- Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX512
- CUDA Runtime 11.1
- 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_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86
- CuDNN 8.0.5
- Magma 2.5.2
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -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, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.1, USE_CUDA=ON, USE_CUDNN=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,
10/26 15:27:23 - mmengine - INFO - TorchVision: 0.11.2+cu111
10/26 15:27:23 - mmengine - INFO - OpenCV: 4.8.1
10/26 15:27:23 - mmengine - INFO - MMEngine: 0.9.0
10/26 15:27:23 - mmengine - INFO - MMCV: 2.1.0
10/26 15:27:23 - mmengine - INFO - MMCV Compiler: GCC 5.4
10/26 15:27:23 - mmengine - INFO - MMCV CUDA Compiler: 11.1
10/26 15:27:23 - mmengine - INFO - MMDeploy: 1.3.0+
10/26 15:27:23 - mmengine - INFO -
10/26 15:27:23 - mmengine - INFO - Backend information
10/26 15:27:23 - mmengine - INFO - tensorrt: None
10/26 15:27:23 - mmengine - INFO - ONNXRuntime: None
10/26 15:27:23 - mmengine - INFO - ONNXRuntime-gpu: 1.8.1
10/26 15:27:23 - mmengine - INFO - ONNXRuntime custom ops: Available
10/26 15:27:23 - mmengine - INFO - pplnn: None
10/26 15:27:23 - mmengine - INFO - ncnn: None
10/26 15:27:23 - mmengine - INFO - snpe: None
10/26 15:27:23 - mmengine - INFO - openvino: None
10/26 15:27:23 - mmengine - INFO - torchscript: 1.10.1+cu111
10/26 15:27:23 - mmengine - INFO - torchscript custom ops: NotAvailable
10/26 15:27:23 - mmengine - INFO - rknn-toolkit: None
10/26 15:27:23 - mmengine - INFO - rknn-toolkit2: None
10/26 15:27:23 - mmengine - INFO - ascend: None
10/26 15:27:23 - mmengine - INFO - coreml: None
10/26 15:27:23 - mmengine - INFO - tvm: None
10/26 15:27:23 - mmengine - INFO - vacc: None
10/26 15:27:23 - mmengine - INFO -
10/26 15:27:23 - mmengine - INFO - Codebase information
10/26 15:27:23 - mmengine - INFO - mmdet: None
10/26 15:27:23 - mmengine - INFO - mmseg: None
10/26 15:27:23 - mmengine - INFO - mmpretrain: None
10/26 15:27:23 - mmengine - INFO - mmocr: None
10/26 15:27:23 - mmengine - INFO - mmagic: None
10/26 15:27:23 - mmengine - INFO - mmdet3d: None
10/26 15:27:23 - mmengine - INFO - mmpose: None
10/26 15:27:23 - mmengine - INFO - mmrotate: None
10/26 15:27:23 - mmengine - INFO - mmaction: None
10/26 15:27:23 - mmengine - INFO - mmrazor: None
10/26 15:27:23 - mmengine - INFO - mmyolo: None
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Related Issues (20)
- how to remove "mmdeploy" domain in model's input and keep the onnx model reasoning normal HOT 1
- [Bug] How do I use multiprocess or multithreaded loading models
- [Bug] Dynamic Axes Not supported with this tensorRT version
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- [Docs] ONNX export Optimizer
- [Feature] DSVT in mmdeploy
- [Bug] Converting to ONNX: Dynamic batch size on input gives all dynamic axes on output.
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- Fatal error: mmdeploy:MMCVModulatedDeformConv2d(-1) is not a registered function/op
- RTMO model convert to onnx HOT 1
- [Bug] RTMDet model to ONNXRuntime or Torchscript doesn't produce masks
- [Bug] Failed to convert fcos-resnet50 to onnx HOT 1
- [Bug] Detection TensorRT has zero output binding shape
- [Feature] Torchscript Backend support for Pytorch 2.1.0+ versions
- [Bug]When I deploy segmentation, the result of SDK occurs discontinuous results. Sometimes the result is normal, but another time it's unnormal.
- [Bug] 尝试进行瑞芯微RK3588模型转换出错 HOT 1
- [Docs] RTMO inference with TensorRT
- [Bug] Wrong Onnx Execution Provider - Error when binding input: There's no data transfer registered for copying tensors from Device:[DeviceType:1 MemoryType:0 DeviceId:0] to Device:[DeviceType:0 MemoryType:0 DeviceId:0] HOT 1
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