Abandon (core dumped)

[thibault390]

❔I'm trying to convert my yolo model with "python3 models/export.py --weights ./best_weight_large_12epochs.pt --img-size 640 384 --batch 1" command and results in Abandon (core dumped)

No idea how to correct that?

Additional context

Ubuntu 18.04
python3.8
pytorch: 1.7.1+cpu
torchvision: 0.8.2+cpu

[github-actions]

👋 Hello @thibault390, thank you for your interest in YOLOv3 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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[thibault390]

My error come from yolo.py and is as follow:

TorchScript: starting export with torch 1.7.1+cpu...
/home/yolov5/models/yolo.py:51: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if self.grid[i].shape[2:4] != x[i].shape[2:4] or self.onnx_dynamic:
terminate called after throwing an instance of 'c10::Error'
what(): [enforce fail at inline_container.cc:380] . PytorchStreamWriter failed writing file version: file write failed
frame #0: c10::ThrowEnforceNotMet(char const*, int, char const*, std::string const&, void const*) + 0x47 (0x7f2ade3ce6a7 in /home/thibault/.local/lib/python3.7/site-packages/torch/lib/libc10.so)
frame #1: caffe2::serialize::PyTorchStreamWriter::valid(char const*, char const*) + 0xa2 (0x7f2acfa52f72 in /home/thibault/.local/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #2: caffe2::serialize::PyTorchStreamWriter::writeRecord(std::string const&, void const*, unsigned long, bool) + 0xbf (0x7f2acfa5391f in /home/thibault/.local/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #3: caffe2::serialize::PyTorchStreamWriter::writeEndOfFile() + 0xe1 (0x7f2acfa54441 in /home/thibault/.local/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #4: caffe2::serialize::PyTorchStreamWriter::~PyTorchStreamWriter() + 0x115 (0x7f2acfa54c35 in /home/thibault/.local/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #5: + 0x3131545 (0x7f2ad0eeb545 in /home/thibault/.local/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #6: torch::jit::ExportModule(torch::jit::Module const&, std::string const&, std::unordered_map<std::string, std::string, std::hashstd::string, std::equal_tostd::string, std::allocator<std::pair<std::string const, std::string> > > const&, bool, bool) + 0x374 (0x7f2ad0eea414 in /home/thibault/.local/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #7: + 0x6f7628 (0x7f2adf323628 in /home/thibault/.local/lib/python3.7/site-packages/torch/lib/libtorch_python.so)
frame #8: + 0x2952b9 (0x7f2adeec12b9 in /home/thibault/.local/lib/python3.7/site-packages/torch/lib/libtorch_python.so)

frame #24: __libc_start_main + 0xe7 (0x7f2ae4807bf7 in /lib/x86_64-linux-gnu/libc.so.6)

Abandon (core dumped)

[thibault390]

I solved my problem

[glenn-jocher]

@thibault390 great to hear that you were able to solve the issue! If you have any other questions or need further assistance, feel free to ask.