[Bug] CUDA errors when changing the voxel size.

[IdrissGo]

Prerequisite

• [X] I have searched Issues and Discussions but cannot get the expected help.
• [X] I have read the FAQ documentation but cannot get the expected help.
• [X] The bug has not been fixed in the latest version (dev-1.x) or latest version (dev-1.0).

Task

I have modified the scripts/configs, or I'm working on my own tasks/models/datasets.

Branch

main branch https://github.com/open-mmlab/mmdetection3d

Environment

sys.platform: linux Python: 3.8.16 | packaged by conda-forge | (default, Feb 1 2023, 16:01:55) [GCC 11.3.0] CUDA available: True numpy_random_seed: 2147483648 GPU 0: NVIDIA A100-SXM4-40GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.7, V11.7.99 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 PyTorch: 2.0.1 PyTorch compiling details: PyTorch built with:

• GCC 9.3
• C++ Version: 201703
• Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 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 11.7
• 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_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;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
• CuDNN 8.5
• Magma 2.6.1
• Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, 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=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.15.2 OpenCV: 4.7.0 MMEngine: 0.7.4 MMDetection: 3.0.0 MMDetection3D: 1.1.0+fa724b1 spconv2.0: True

Reproduces the problem - code sample

In the base model file for pointpillars, just modified the voxel size entry (first line) voxel_size = [0.05, 0.05, 4]

Reproduces the problem - command or script

python tools/train.py configs/pointpillars/pointpillars_hv_secfpn_8xb6-160e_kitti-3d-3class.py

Reproduces the problem - error message

A bunch of these : /opt/conda/conda-bld/pytorch_1682343962757/work/aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [446,0,0], thread: [113,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /opt/conda/conda-bld/pytorch_1682343962757/work/aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [446,0,0], thread: [114,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /opt/conda/conda-bld/pytorch_1682343962757/work/aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [446,0,0], thread: [115,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /opt/conda/conda-bld/pytorch_1682343962757/work/aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [446,0,0], thread: [116,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /opt/conda/conda-bld/pytorch_1682343962757/work/aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [446,0,0], thread: [117,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /opt/conda/conda-bld/pytorch_1682343962757/work/aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [446,0,0], thread: [118,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /opt/conda/conda-bld/pytorch_1682343962757/work/aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [446,0,0], thread: [119,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /opt/conda/conda-bld/pytorch_1682343962757/work/aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [446,0,0], thread: [120,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /opt/conda/conda-bld/pytorch_1682343962757/work/aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [446,0,0], thread: [121,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /opt/conda/conda-bld/pytorch_1682343962757/work/aten/src/ATen/native/cuda/IndexKernel.c

And : Traceback (most recent call last): File "tools/train.py", line 135, in main() File "tools/train.py", line 131, in main runner.train() File "/nfs/home/gouidr/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1721, in train model = self.train_loop.run() # type: ignore File "/nfs/home/gouidr/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/runner/loops.py", line 96, in run self.run_epoch() File "/nfs/home/gouidr/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/runner/loops.py", line 112, in run_epoch self.run_iter(idx, data_batch) File "/nfs/home/gouidr/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/runner/loops.py", line 128, in run_iter outputs = self.runner.model.train_step( File "/nfs/home/gouidr/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/model/base_model/base_model.py", line 114, in train_step losses = self._run_forward(data, mode='loss') # type: ignore File "/nfs/home/gouidr/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/model/base_model/base_model.py", line 340, in _run_forward results = self(data, mode=mode) File "/nfs/home/gouidr/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "/nfs/home/gouidr/mmdetection3d/mmdet3d/models/detectors/base.py", line 75, in forward return self.loss(inputs, data_samples, kwargs) File "/nfs/home/gouidr/mmdetection3d/mmdet3d/models/detectors/single_stage.py", line 74, in loss x = self.extract_feat(batch_inputs_dict) File "/nfs/home/gouidr/mmdetection3d/mmdet3d/models/detectors/voxelnet.py", line 43, in extract_feat x = self.middle_encoder(voxel_features, voxel_dict['coors'], File "/nfs/home/gouidr/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "/nfs/home/gouidr/mmdetection3d/mmdet3d/models/middle_encoders/pillar_scatter.py", line 36, in forward return self.forward_batch(voxel_features, coors, batch_size) File "/nfs/home/gouidr/mmdetection3d/mmdet3d/models/middle_encoders/pillar_scatter.py", line 86, in forward_batch this_coors = coors[batch_mask, :] RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Additional information

I wanted to play with the voxel size values for pointpillars but I get these CUDA error when training the model. Any insight on this ?

[Xiangxu-0103]

If you modify the voxel_size, you need to modify the output_shape correspondingly.

[VeeranjaneyuluToka]

@IdrissGo , did you change output_shape and trained a model. I have modified point_cloud_range, voxel_size, and out_size but i was getting the below error

Anything else that i need to modify?

[VeeranjaneyuluToka]

FYI, i have modified point_cloud_range, voxel_size, output_shape in pts_middle_encoder, grid_shape in train_cfg solved the issue and am able to train the model.