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Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric

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--------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) [](https://localhost:8080/#) in () 30 # y = torch.cat([i.y for i in data], 0).view(-1, out_channels).to(device) 31 optimizer.zero_grad() ---> 32 out = model(data) 33 #...

Hi, Whether are there any key points or tricks when re-implement the model? I tried to implement it without `torch_geometric`, but have some problems: 1. the training loss reduces slowly...

What coordinate system is used here? Is the trajectory of every agent is defined in its own exclusive system, a global coordinate system or the target agent?

start training at epoch:0 Traceback (most recent call last): File "~miniconda3/envs/vectornet_py380/lib/python3.8/runpy.py", line 192, in _run_module_as_main return _run_code(code, main_globals, None, File "~miniconda3/envs/vectornet_py380/lib/python3.8/runpy.py", line 85, in _run_code exec(code, run_globals) File "~.vscode-server/extensions/ms-python.debugpy-2024.2.0-linux-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher/../../debugpy/__main__.py", line...