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Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. #5

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lartpang opened this issue Aug 5, 2020 · 2 comments

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@lartpang
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lartpang commented Aug 5, 2020

Thanks for your work.

My ENV:
  • Ubuntu 18.04.04
  • 2080Ti
  • cuda in my system: 9.2, V9.2.148
  • gcc, g++ 5.5.0
  • conda list:
➜ conda list
# packages in environment at /home/lart/miniconda3/envs/sipmask:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                        main    defaults
addict                    2.2.1                    pypi_0    pypi
blas                      1.0                         mkl    defaults
ca-certificates           2020.6.24                     0    defaults
certifi                   2020.6.20                py36_0    defaults
cffi                      1.14.0           py36he30daa8_1    defaults
chardet                   3.0.4                    pypi_0    pypi
cudatoolkit               9.2                           0    defaults
cudnn                     7.6.5                 cuda9.2_0    defaults
cycler                    0.10.0                   pypi_0    pypi
cython                    0.29.21                  pypi_0    pypi
decorator                 4.4.2                    pypi_0    pypi
freetype                  2.10.2               h5ab3b9f_0    defaults
idna                      2.10                     pypi_0    pypi
imagecorruptions          1.1.0                    pypi_0    pypi
imageio                   2.9.0                    pypi_0    pypi
intel-openmp              2020.1                      217    defaults
jpeg                      9b                   h024ee3a_2    defaults
kiwisolver                1.2.0                    pypi_0    pypi
lcms2                     2.11                 h396b838_0    defaults
ld_impl_linux-64          2.33.1               h53a641e_7    defaults
libedit                   3.1.20191231         h14c3975_1    defaults
libffi                    3.3                  he6710b0_2    defaults
libgcc-ng                 9.1.0                hdf63c60_0    defaults
libpng                    1.6.37               hbc83047_0    defaults
libstdcxx-ng              9.1.0                hdf63c60_0    defaults
libtiff                   4.1.0                h2733197_1    defaults
lz4-c                     1.9.2                he6710b0_1    defaults
matplotlib                3.3.0                    pypi_0    pypi
mkl                       2020.1                      217    defaults
mkl-service               2.3.0            py36he904b0f_0    defaults
mkl_fft                   1.1.0            py36h23d657b_0    defaults
mkl_random                1.1.1            py36h0573a6f_0    defaults
mmcv                      0.2.10                   pypi_0    pypi
mmdet                     1.0rc0+unknown            dev_0    <develop>
ncurses                   6.2                  he6710b0_1    defaults
networkx                  2.4                      pypi_0    pypi
ninja                     1.10.0           py36hfd86e86_0    defaults
numpy                     1.19.1           py36hbc911f0_0    defaults
numpy-base                1.19.1           py36hfa32c7d_0    defaults
olefile                   0.46                     py36_0    defaults
opencv-python             4.3.0.36                 pypi_0    pypi
openssl                   1.1.1g               h7b6447c_0    defaults
pillow                    7.2.0            py36hb39fc2d_0    defaults
pip                       20.1.1                   py36_1    defaults
pycocotools               2.0                      pypi_0    pypi
pycparser                 2.20                       py_2    defaults
pyparsing                 2.4.7                    pypi_0    pypi
python                    3.6.10               h7579374_2    defaults
python-dateutil           2.8.1                    pypi_0    pypi
pytorch                   1.1.0           cuda92py36h65efead_0    defaults
pywavelets                1.1.1                    pypi_0    pypi
pyyaml                    5.3.1                    pypi_0    pypi
readline                  8.0                  h7b6447c_0    defaults
requests                  2.24.0                   pypi_0    pypi
scikit-image              0.17.2                   pypi_0    pypi
scipy                     1.5.2                    pypi_0    pypi
setuptools                49.2.0                   py36_0    defaults
six                       1.15.0                     py_0    defaults
sqlite                    3.32.3               h62c20be_0    defaults
tifffile                  2020.7.24                pypi_0    pypi
tk                        8.6.10               hbc83047_0    defaults
torchvision               0.3.0           cuda92py36h0601742_0    defaults
urllib3                   1.25.10                  pypi_0    pypi
wheel                     0.34.2                   py36_0    defaults
xz                        5.2.5                h7b6447c_0    defaults
yapf                      0.30.0                   pypi_0    pypi
zlib                      1.2.11               h7b6447c_3    defaults
zstd                      1.4.5                h9ceee32_0    defaults

When I test the pretrained model vis_sipmask_r50_fpn_1x.pth (provided by you) on the valid set of the Youtube-VIS, I will get the following error message:

ERROR MESSAGE
SipMask/SipMask-VIS on  master [!+?] via 🐍 v3.6.10 :: Anaconda, Inc. via C sipmask took 15s 
➜ CUDA_VISIBLE_DEVICES=1 python tools/test_video.py ./configs/sipmask/sipmask_r50_caffe_fpn_gn_1x.py ./work_dirs/vis_sipmask_r50_fpn_1x.pth --out results.pkl --eval bbox --show
loading annotations into memory...
Done (t=0.00s)
creating index...
index created!
Traceback (most recent call last):
  File "/home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/mmcv/runner/checkpoint.py", line 67, in load_state_dict
    own_state[name].copy_(param)
RuntimeError: The expanded size of the tensor (1) must match the existing size (3) at non-singleton dimension 3.  Target sizes: [512, 768, 1, 1].  Tensor sizes: [512, 768, 3, 3]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "tools/test_video.py", line 122, in <module>
    main()
  File "tools/test_video.py", line 91, in main
    load_checkpoint(model, args.checkpoint)
  File "/home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/mmcv/runner/checkpoint.py", line 162, in load_checkpoint
    load_state_dict(model, state_dict, strict, logger)
  File "/home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/mmcv/runner/checkpoint.py", line 73, in load_state_dict
    name, own_state[name].size(), param.size()))
RuntimeError: While copying the parameter named bbox_head.fovea_track.weight, whose dimensions in the model are torch.Size([512, 768, 1, 1]) and whose dimensions in the checkpoint are torch.Size([512, 768, 3, 3]).

When I change as follows, that will get even stranger error messages:

# SipMask-VIS/mmdet/models/anchor_heads/sipmask_head.py
        # self.fovea_track = nn.Conv2d(self.feat_channels * 3, 512, 1, padding=0)
        self.fovea_track = nn.Conv2d(self.feat_channels * 3, 512, 3, padding=0)
ERROR MESSAGE
SipMask/SipMask-VIS on  master [!+?] via 🐍 v3.6.10 :: Anaconda, Inc. via C sipmask took 30s 
➜ CUDA_VISIBLE_DEVICES=1 python tools/test_video.py ./configs/sipmask/sipmask_r50_caffe_fpn_gn_1x.py ./work_dirs/vis_sipmask_r50_fpn_1x.pth --out results.pkl --eval bbox --show
loading annotations into memory...
Done (t=0.00s)
creating index...
index created!
unexpected key in source state_dict: bbox_head.track_convs.3.conv.weight, bbox_head.track_convs.3.gn.weight, bbox_head.track_convs.3.gn.bias

[                                                  ] 0/8289, elapsed: 0s, ETA:/tmp/pip-req-build-xea91aoh/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda [](int)->auto::operator()(int)->auto: block: [0,0,0], thread: [64,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
/tmp/pip-req-build-xea91aoh/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda [](int)->auto::operator()(int)->auto: block: [0,0,0], thread: [65,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
/tmp/pip-req-build-xea91aoh/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda [](int)->auto::operator()(int)->auto: block: [0,0,0], thread: [66,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
/tmp/pip-req-build-xea91aoh/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda [](int)->auto::operator()(int)->auto: block: [0,0,0], thread: [67,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
/tmp/pip-req-build-xea91aoh/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda [](int)->auto::operator()(int)->auto: block: [0,0,0], thread: [68,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
/tmp/pip-req-build-xea91aoh/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda [](int)->auto::operator()(int)->auto: block: [0,0,0], thread: [69,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
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/tmp/pip-req-build-xea91aoh/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda [](int)->auto::operator()(int)->auto: block: [0,0,0], thread: [96,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
/tmp/pip-req-build-xea91aoh/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda [](int)->auto::operator()(int)->auto: block: [0,0,0], thread: [97,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
/tmp/pip-req-build-xea91aoh/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda [](int)->auto::operator()(int)->auto: block: [0,0,0], thread: [98,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
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Traceback (most recent call last):
  File "tools/test_video.py", line 122, in <module>
    main()
  File "tools/test_video.py", line 104, in main
    outputs = single_test(model, data_loader, False, save_path=args.save_path)
  File "tools/test_video.py", line 23, in single_test
    result = model(return_loss=False, rescale=not show, **data)
  File "/home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 150, in forward
    return self.module(*inputs[0], **kwargs[0])
  File "/home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/lart/Coding/VISProj/SipMask/SipMask-VIS/tools/../mmdet/core/fp16/decorators.py", line 49, in new_func
    return old_func(*args, **kwargs)
  File "/home/lart/Coding/VISProj/SipMask/SipMask-VIS/tools/../mmdet/models/detectors/base.py", line 88, in forward
    return self.forward_test(img, img_meta, **kwargs)
  File "/home/lart/Coding/VISProj/SipMask/SipMask-VIS/tools/../mmdet/models/detectors/base.py", line 79, in forward_test
    return self.simple_test(imgs[0], img_metas[0], **kwargs)
  File "/home/lart/Coding/VISProj/SipMask/SipMask-VIS/tools/../mmdet/models/detectors/single_stage.py", line 73, in simple_test
    bbox_list = self.bbox_head.get_bboxes(*bbox_inputs)
  File "/home/lart/Coding/VISProj/SipMask/SipMask-VIS/tools/../mmdet/core/fp16/decorators.py", line 127, in new_func
    return old_func(*args, **kwargs)
  File "/home/lart/Coding/VISProj/SipMask/SipMask-VIS/tools/../mmdet/models/anchor_heads/sipmask_head.py", line 674, in get_bboxes
    mask = masks[i].cpu().numpy()
RuntimeError: CUDA error: device-side assert triggered
terminate called after throwing an instance of 'c10::Error'
  what():  CUDA error: device-side assert triggered (insert_events at ../c10/cuda/CUDACachingAllocator.cpp:564)
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x6d (0x7fec585d933d in /home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/torch/lib/libc10.so)
frame #1: <unknown function> + 0x11ea1 (0x7fec585fdea1 in /home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/torch/lib/libc10_cuda.so)
frame #2: c10::TensorImpl::release_resources() + 0x5c (0x7fec585cb91c in /home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/torch/lib/libc10.so)
frame #3: torch::autograd::Variable::Impl::release_resources() + 0x7c (0x7fec5bfdb17c in /home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/torch/lib/libtorch.so.1)
frame #4: <unknown function> + 0x124c84 (0x7fec808a7c84 in /home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
frame #5: <unknown function> + 0x35467c (0x7fec80ad767c in /home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
frame #6: <unknown function> + 0x3546b2 (0x7fec80ad76b2 in /home/lart/miniconda3/envs/sipmask/lib/python3.6/site-packages/torch/lib/libtorch_python.so)
<omitting python frames>
frame #23: __libc_start_main + 0xe7 (0x7fec8f26bb97 in /lib/x86_64-linux-gnu/libc.so.6)

Can you help me solve this problem?

@JialeCao001
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JialeCao001 commented Aug 5, 2020

@lartpang Sorry. I forget to clear this code at last. I have updated the codes and models. I think that it will work after updating your code and downloading the new model.

@lartpang
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lartpang commented Aug 6, 2020

@JialeCao001 Thanks for your reply and code. It's working well.

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