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2024-12-07 10:41:36,319 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs
2024-12-07 10:41:36,319 - mmdet - INFO - Checkpoints will be saved to /mnt/g/V2X-Kitti-Spd/mmdetection3d/work_dirs/vic3d_latefusion_veh_imvoxelnet by HardDiskBackend.
Traceback (most recent call last):
File "tools/train.py", line 224, in
main()
File "tools/train.py", line 213, in main
train_model(
File "/mnt/g/V2X-Kitti-Spd/mmdetection3d/mmdet3d/apis/train.py", line 28, in train_model
train_detector(
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmdet/apis/train.py", line 170, in train_detector
runner.run(data_loaders, cfg.workflow)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 127, in run
epoch_runner(data_loaders[i], **kwargs)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 50, in train
self.run_iter(data_batch, train_mode=True, **kwargs)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 29, in run_iter
outputs = self.model.train_step(data_batch, self.optimizer,
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmcv/parallel/data_parallel.py", line 75, in train_step
return self.module.train_step(*inputs[0], **kwargs[0])
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmdet/models/detectors/base.py", line 237, in train_step
losses = self(**data)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmcv/runner/fp16_utils.py", line 98, in new_func
return old_func(*args, **kwargs)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmdet/models/detectors/base.py", line 171, in forward
return self.forward_train(img, img_metas, **kwargs)
File "/mnt/g/V2X-Kitti-Spd/mmdetection3d/mmdet3d/models/detectors/imvoxelnet.py", line 91, in forward_train
x = self.extract_feat(img, img_metas)
File "/mnt/g/V2X-Kitti-Spd/mmdetection3d/mmdet3d/models/detectors/imvoxelnet.py", line 60, in extract_feat
volume = point_sample(
File "/mnt/g/V2X-Kitti-Spd/mmdetection3d/mmdet3d/models/fusion_layers/point_fusion.py", line 56, in point_sample
points = apply_3d_transformation(
File "/mnt/g/V2X-Kitti-Spd/mmdetection3d/mmdet3d/models/fusion_layers/coord_transform.py", line 69, in apply_3d_transformation
rotate_func = partial(pcd.rotate, rotation=pcd_rotate_mat.inverse())
RuntimeError: cusolver error: CUSOLVER_STATUS_INTERNAL_ERROR, when calling cusolverDnCreate(handle)
envs info
(openmmlablinux) root@DESKTOP-46K4CEN:/mnt/g/V2X-Kitti-Spd/mmdetection3d# python tools/train.py configs/imvoxelnet/trainval_config_v.py
2024-12-07 09:56:54,558 - mmdet - INFO - Environment info:
sys.platform: linux
Python: 3.8.0 (default, Nov 6 2019, 21:49:08) [GCC 7.3.0]
CUDA available: True
GPU 0: NVIDIA GeForce RTX 4080
CUDA_HOME: /usr/local/cuda-11.1
NVCC: Build cuda_11.1.TC455_06.29069683_0
GCC: gcc (Ubuntu 9.5.0-1ubuntu1~22.04) 9.5.0
PyTorch: 1.9.1+cu111
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
2024-12-07 10:41:36,319 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs
2024-12-07 10:41:36,319 - mmdet - INFO - Checkpoints will be saved to /mnt/g/V2X-Kitti-Spd/mmdetection3d/work_dirs/vic3d_latefusion_veh_imvoxelnet by HardDiskBackend.
Traceback (most recent call last):
File "tools/train.py", line 224, in
main()
File "tools/train.py", line 213, in main
train_model(
File "/mnt/g/V2X-Kitti-Spd/mmdetection3d/mmdet3d/apis/train.py", line 28, in train_model
train_detector(
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmdet/apis/train.py", line 170, in train_detector
runner.run(data_loaders, cfg.workflow)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 127, in run
epoch_runner(data_loaders[i], **kwargs)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 50, in train
self.run_iter(data_batch, train_mode=True, **kwargs)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 29, in run_iter
outputs = self.model.train_step(data_batch, self.optimizer,
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmcv/parallel/data_parallel.py", line 75, in train_step
return self.module.train_step(*inputs[0], **kwargs[0])
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmdet/models/detectors/base.py", line 237, in train_step
losses = self(**data)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmcv/runner/fp16_utils.py", line 98, in new_func
return old_func(*args, **kwargs)
File "/root/anaconda3/envs/openmmlablinux/lib/python3.8/site-packages/mmdet/models/detectors/base.py", line 171, in forward
return self.forward_train(img, img_metas, **kwargs)
File "/mnt/g/V2X-Kitti-Spd/mmdetection3d/mmdet3d/models/detectors/imvoxelnet.py", line 91, in forward_train
x = self.extract_feat(img, img_metas)
File "/mnt/g/V2X-Kitti-Spd/mmdetection3d/mmdet3d/models/detectors/imvoxelnet.py", line 60, in extract_feat
volume = point_sample(
File "/mnt/g/V2X-Kitti-Spd/mmdetection3d/mmdet3d/models/fusion_layers/point_fusion.py", line 56, in point_sample
points = apply_3d_transformation(
File "/mnt/g/V2X-Kitti-Spd/mmdetection3d/mmdet3d/models/fusion_layers/coord_transform.py", line 69, in apply_3d_transformation
rotate_func = partial(pcd.rotate, rotation=pcd_rotate_mat.inverse())
RuntimeError: cusolver error: CUSOLVER_STATUS_INTERNAL_ERROR, when calling
cusolverDnCreate(handle)
envs info
(openmmlablinux) root@DESKTOP-46K4CEN:/mnt/g/V2X-Kitti-Spd/mmdetection3d# python tools/train.py configs/imvoxelnet/trainval_config_v.py
2024-12-07 09:56:54,558 - mmdet - INFO - Environment info:
sys.platform: linux
Python: 3.8.0 (default, Nov 6 2019, 21:49:08) [GCC 7.3.0]
CUDA available: True
GPU 0: NVIDIA GeForce RTX 4080
CUDA_HOME: /usr/local/cuda-11.1
NVCC: Build cuda_11.1.TC455_06.29069683_0
GCC: gcc (Ubuntu 9.5.0-1ubuntu1~22.04) 9.5.0
PyTorch: 1.9.1+cu111
PyTorch compiling details: PyTorch built with:
ncode;arch=compute_86,code=sm_86
TO -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=1.9.1, 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,
TorchVision: 0.10.1+cu111
OpenCV: 4.10.0
MMCV: 1.4.0
MMCV Compiler: GCC 7.3
MMCV CUDA Compiler: 11.1
MMDetection: 2.14.0
MMSegmentation: 0.14.1
MMDetection3D: 0.17.1+f110797
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