Question about installation

[ZecCheng]

Hello, zehui! Thanks for your impressive work! I'd like to know what's the version of your installation environment about mmdet3d, mmcv-full, pytorch etc... could you share it with us? Thanks a lot~

[zehuichen123]

mmdet3d version is 0.16.0, and I think pytorch version is not a problem, maybe 1.5 ? mmcv-full could be an early version, perhaps 1.4, if it does not work, try some version earlier. Sorry that I have no access to the environment then, so I can not give you an exact number.

[ZecCheng]

Thans a lot for your in-time reply, I will try then and re-comment below if there are any issues~

mmdet3d version is 0.16.0, and I think pytorch version is not a problem, maybe 1.5 ? mmcv-full could be an early version, perhaps 1.4, if it does not work, try some version earlier. Sorry that I have no access to the environment then, so I can not give you an exact number.

[ZecCheng]

My environment lists below: `sys.platform: linux Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] CUDA available: True GPU 0: NVIDIA GeForce RTX 3090 CUDA_HOME: /usr/local/cuda-11.0 NVCC: Build cuda_11.0_bu.TC445_37.28358933_0 GCC: gcc (Ubuntu 9.5.0-1ubuntu1~22.04) 9.5.0 PyTorch: 1.7.1 PyTorch compiling details: 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;-genco de;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;-genc ode;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 -D USE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKANWRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -W no-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-varia ble -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarat ions -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -fal igned-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, US E_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON,

TorchVision: 0.8.2 OpenCV: 4.8.0 MMCV: 1.4.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.0 MMDetection: 2.14.0 MMSegmentation: 0.14.1 MMDetection3D: 0.16.0+07faf5b` And when I tried to test the pretrained checkpoint you provided in github, it shows " RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED". I guess the pytorch version 1.7.1 I used maybe higher than your original one, however, it's the lowest version I can use cause 3090GPU only supports CUDA>11.0. Do you have any idea about this? problem?