TypeError: 'DataContainer' object is not iterable

[siddharthKatageri]

I am using transfusion_nusc_voxel_L.py config file to train transfusion. I have not changed anything from this config file (other than gpu ids, num_heads in the model and num_workers). I am getting this error just after the 1st epoch model is saved and the evaluation starts. I am not able to solve this issue.

Please help.

File "./tools/train.py", line 254, in <module>
    main()
  File "./tools/train.py", line 250, in main
    meta=meta)
  File "/home/siddharth/installations/mmdetection/mmdet/apis/train.py", line 170, in train_detector
    runner.run(data_loaders, cfg.workflow)
  File "/home/siddharth/miniconda3/envs/open-mmlab/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 125, in run
    epoch_runner(data_loaders[i], **kwargs)
  File "/home/siddharth/miniconda3/envs/open-mmlab/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 54, in train
    self.call_hook('after_train_epoch')
  File "/home/siddharth/miniconda3/envs/open-mmlab/lib/python3.7/site-packages/mmcv/runner/base_runner.py", line 307, in call_hook
    getattr(hook, fn_name)(self)
  File "/home/siddharth/installations/mmdetection/mmdet/core/evaluation/eval_hooks.py", line 276, in after_train_epoch
    gpu_collect=self.gpu_collect)
  File "/home/siddharth/installations/mmdetection/mmdet/apis/test.py", line 97, in multi_gpu_test
    result = model(return_loss=False, rescale=True, **data)
  File "/home/siddharth/miniconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/siddharth/miniconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/nn/parallel/distributed.py", line 799, in forward
    output = self.module(*inputs[0], **kwargs[0])
  File "/home/siddharth/miniconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/siddharth/miniconda3/envs/open-mmlab/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 84, in new_func
    return old_func(*args, **kwargs)
  File "/home/siddharth/TransFusion/mmdet3d/models/detectors/base.py", line 60, in forward
    return self.forward_test(**kwargs)
  File "/home/siddharth/TransFusion/mmdet3d/models/detectors/base.py", line 41, in forward_test
    return self.simple_test(points[0], img_metas[0], img[0], **kwargs)
  File "/home/siddharth/TransFusion/mmdet3d/models/detectors/transfusion.py", line 196, in simple_test
    points, img=img, img_metas=img_metas)
  File "/home/siddharth/TransFusion/mmdet3d/models/detectors/mvx_two_stage.py", line 225, in extract_feat
    pts_feats = self.extract_pts_feat(points, img_feats, img_metas)
  File "/home/siddharth/TransFusion/mmdet3d/models/detectors/transfusion.py", line 64, in extract_pts_feat
    voxels, num_points, coors = self.voxelize(pts)
  File "/home/siddharth/miniconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/autograd/grad_mode.py", line 28, in decorate_context
    return func(*args, **kwargs)
  File "/home/siddharth/miniconda3/envs/open-mmlab/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 164, in new_func
    return old_func(*args, **kwargs)
  File "/home/siddharth/TransFusion/mmdet3d/models/detectors/transfusion.py", line 87, in voxelize
    for res in points:
TypeError: 'DataContainer' object is not iterable

[siddharthKatageri]

This is the output I get by python mmdet3d/utils/collect_env.py

sys.platform: linux
Python: 3.7.13 (default, Mar 29 2022, 02:18:16) [GCC 7.5.0]
CUDA available: True
GPU 0,1,2,3: NVIDIA GeForce RTX 2080 Ti
CUDA_HOME: /usr/local/cuda-10.2
NVCC: Cuda compilation tools, release 10.2, V10.2.89
GCC: gcc (Ubuntu 5.5.0-12ubuntu1) 5.5.0 20171010
PyTorch: 1.9.0
PyTorch compiling details: PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 10.2
  - 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_37,code=compute_37
  - CuDNN 7.6.5
  - Magma 2.5.2
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=10.2, CUDNN_VERSION=7.6.5, 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 -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=1.9.0, 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: 0.10.0
OpenCV: 4.6.0
MMCV: 1.2.4
MMCV Compiler: GCC 5.5
MMCV CUDA Compiler: 10.2
MMDetection: 2.10.0
MMDetection3D: 0.11.0+399bda0

[siddharthKatageri]

I solved this issue by changing the MMCV and MMDetection version. These are the version that I installed. MMCV: 1.3.10 MMDetection: 2.11.0

[Tracy-git]

have you solved it?