RuntimeError: CUDA error: no kernel image is available for execution on the device

[2000lf]

when I train raise RuntimeError: CUDA error: no kernel image is available for execution on the device

Environment

sys.platform: linux
Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]
CUDA available: True
GPU 0,1: NVIDIA A30
CUDA_HOME: /home/shiying/luofan/CUDA/cuda11.1
NVCC: Build cuda_11.1.TC455_06.29069683_0
GCC: gcc (GCC) 9.4.0
PyTorch: 1.8.0+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
  - Intel(R) MKL-DNN v1.7.0 (Git Hash 7aed236906b1f7a05c0917e5257a1af05e9ff683)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - NNPACK is enabled
  - CPU capability usage: NO AVX
  - 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 -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=1.8.0, 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, 

TorchVision: 0.9.0+cu111
OpenCV: 4.9.0
MMCV: 1.3.0
MMCV Compiler: GCC 7.3
MMCV CUDA Compiler: 11.1
MMDetection: 2.11.0
MMDetection3D: 0.11.0+73c596f

Error traceback
Traceback (most recent call last):
File "tools/train.py", line 254, in
main()
File "tools/train.py", line 250, in main
meta=meta)
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmdet/apis/train.py", line 170, in train_detector
runner.run(data_loaders, cfg.workflow)
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 125, in run
epoch_runner(data_loaders[i], **kwargs)
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 50, in train
self.run_iter(data_batch, train_mode=True)
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 30, in run_iter
**kwargs)
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmcv/parallel/data_parallel.py", line 67, in train_step
return self.module.train_step(*inputs[0], **kwargs[0])
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmdet/models/detectors/base.py", line 247, in train_step
losses = self(**data)
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 84, in new_func
return old_func(*args, **kwargs)
File "/home/shiying/luofan/TransFusion/mmdet3d/models/detectors/base.py", line 58, in forward
return self.forward_train(**kwargs)
File "/home/shiying/luofan/TransFusion/mmdet3d/models/detectors/transfusion.py", line 142, in forward_train
gt_bboxes_ignore)
File "/home/shiying/luofan/TransFusion/mmdet3d/models/detectors/transfusion.py", line 179, in forward_pts_train
losses = self.pts_bbox_head.loss(*loss_inputs)
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 164, in new_func
return old_func(*args, **kwargs)
File "/home/shiying/luofan/TransFusion/mmdet3d/models/dense_heads/transfusion_head.py", line 1257, in loss
layer_loss_cls = self.loss_cls(layer_cls_score, layer_labels, layer_label_weights, avg_factor=max(num_pos, 1))
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmdet/models/losses/focal_loss.py", line 177, in forward
avg_factor=avg_factor)
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmdet/models/losses/focal_loss.py", line 86, in sigmoid_focal_loss
'none')
File "/home/shiying/zjx/envs/anaconda3/envs/transfusion/lib/python3.7/site-packages/mmcv/ops/focal_loss.py", line 55, in forward
input, target, weight, output, gamma=ctx.gamma, alpha=ctx.alpha)
RuntimeError: CUDA error: no kernel image is available for execution on the device

[Gaoeee]

Hi, did you solve it?