可以看看你的环境吗，我这边有8卡4090，但是环境有些问题

stickygao commented 2 weeks ago

rubbish001 commented 2 weeks ago

合作发论文怎么样，我这边缺显卡，就是用mmdet3D的啊，环境很容易搞定的大不了打包conda环境直接到你机器上弄，有兴趣可以+v 13554227357

System environment: sys.platform: linux Python: 3.10.0 | packaged by conda-forge | (default, Nov 20 2021, 02:24:10) [GCC 9.4.0] CUDA available: True numpy_random_seed: 583576763 GPU 0,2,3: NVIDIA GeForce RTX 4090 D GPU 1: NVIDIA GeForce RTX 4090 CUDA_HOME: /opt/cuda-11.8 NVCC: Cuda compilation tools, release 11.8, V11.8.89 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 PyTorch: 2.0.1+cu118 PyTorch compiling details: PyTorch built with:

GCC 9.3
C++ Version: 201703
Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications
Intel(R) MKL-DNN v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e)
OpenMP 201511 (a.k.a. OpenMP 4.5)
LAPACK is enabled (usually provided by MKL)
NNPACK is enabled
CPU capability usage: AVX2
CUDA Runtime 11.8
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;-gencode;arch=compute_90,code=sm_90
CuDNN 8.7
Magma 2.6.1
Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.1, 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=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.15.2+cu118 OpenCV: 4.7.0 MMEngine: 0.7.3

Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: pytorch Distributed training: True GPU number: 4

stickygao commented 1 week ago

加个vx怎么样

发件人: 李文轩 @.> 发送时间: 2024年9月6日星期五上午11:42 收件人: rubbish001/Co-Fix3d @.> 抄送: stickygao @.>; Author @.> 主题: Re: [rubbish001/Co-Fix3d] 可以看看你的环境吗，我这边有8卡4090，但是环境有些问题 (Issue #1)

合作发论文怎么样，我这边缺显卡，就是用mmdet3D的啊，环境很容易搞定的大不了打包conda环境直接到你机器上弄

— Reply to this email directly, view it on GitHubhttps://github.com/rubbish001/Co-Fix3d/issues/1#issuecomment-2333176397, or unsubscribehttps://github.com/notifications/unsubscribe-auth/BI273F6OKB2IHKMHMODDMC3ZVEQBHAVCNFSM6AAAAABNWZXSUWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDGMZTGE3TMMZZG4. You are receiving this because you authored the thread.Message ID: @.**@.>>

rubbish001 commented 1 week ago

我wx：13554227357 ，或者你微信多少

rubbish001 / Co-Fix3d

可以看看你的环境吗，我这边有8卡4090，但是环境有些问题 #1