[Bug] get_flops.py throws error for Pointpillars

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'm using the official example scripts/configs for the officially supported tasks/models/datasets.

Branch

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

Environment

sys.platform: linux Python: 3.8.19 | packaged by conda-forge | (default, Mar 20 2024, 12:47:35) [GCC 12.3.0] CUDA available: False MUSA available: False numpy_random_seed: 2147483648 GCC: gcc (GCC) 11.4.1 20231218 (Red Hat 11.4.1-3) PyTorch: 2.0.1+cu117 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
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=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.15.2+cu117 OpenCV: 4.10.0 MMEngine: 0.10.4 MMDetection: 3.3.0 MMDetection3D: 1.4.0+962f093 spconv2.0: False

Reproduces the problem - code sample

python tools/analysis_tools/get_flops.py configs/pointpillars/pointpillars_hv_secfpn_sbn-all_8xb4-2x_nus-3d.py --modality point

Reproduces the problem - command or script

python tools/analysis_tools/get_flops.py configs/pointpillars/pointpillars_hv_secfpn_sbn-all_8xb4-2x_nus-3d.py --modality point

Reproduces the problem - error message

warnings.warn( Traceback (most recent call last): File "tools/analysis_tools/get_flops.py", line 83, in main() File "tools/analysis_tools/get_flops.py", line 73, in main flops, params = get_model_complexity_info(model, input_shape) File "/beegfs/chandorkar/miniforge3/envs/mmdet3d/lib/python3.8/site-packages/mmcv/cnn/utils/flops_counter.py", line 107, in get_model_complexityinfo = flops_model(batch) File "/beegfs/chandorkar/miniforge3/envs/mmdet3d/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl result = forward_call(*args, kwargs) File "/beegfs/chandorkar/projects/mmdetection3d/mmdet3d/models/detectors/base.py", line 88, in forward return self._forward(inputs, data_samples, kwargs) TypeError: _forward() takes 1 positional argument but 3 were given

Additional information

Seems like a bug in the code. I get the same error with the config file for kitti. configs/pointpillars/pointpillars_hv_secfpn_8xb6-160e_kitti-3d-3class.py

open-mmlab / mmdetection3d