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error_002_vgg.txt
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error_002_vgg.txt
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Begin training!
Multiple GPUs detected! Turning off JIT.
d:\vsAImc\yolact\utils\augmentations.py:309: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with
different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
mode = random.choice(self.sample_options)
Traceback (most recent call last):
File "D:\Anaconda3\envs\torch\lib\runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "D:\Anaconda3\envs\torch\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "c:\Users\Administrator\.vscode\extensions\ms-python.python-2021.10.1336267007\pythonFiles\lib\python\debugpy\__main__.py", line 45, in <module>
cli.main()
File "c:\Users\Administrator\.vscode\extensions\ms-python.python-2021.10.1336267007\pythonFiles\lib\python\debugpy/..\debugpy\server\cli.py", line 444, in main
run()
File "c:\Users\Administrator\.vscode\extensions\ms-python.python-2021.10.1336267007\pythonFiles\lib\python\debugpy/..\debugpy\server\cli.py", line 285, in run_file
runpy.run_path(target_as_str, run_name=compat.force_str("__main__"))
File "D:\Anaconda3\envs\torch\lib\runpy.py", line 268, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\Anaconda3\envs\torch\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\Anaconda3\envs\torch\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "d:\vsAImc\yolact\train.py", line 515, in <module>
train()
File "d:\vsAImc\yolact\train.py", line 313, in train
losses = net(datum)
File "D:\Anaconda3\envs\torch\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Anaconda3\envs\torch\lib\site-packages\torch\nn\parallel\data_parallel.py", line 166, in forward
return self.module(*inputs[0], **kwargs[0])
File "D:\Anaconda3\envs\torch\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "d:\vsAImc\yolact\train.py", line 148, in forward
losses = self.criterion(self.net, preds, targets, masks, num_crowds)
File "D:\Anaconda3\envs\torch\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "d:\vsAImc\yolact\layers\modules\multibox_loss.py", line 137, in forward
pos_idx = pos.unsqueeze(pos.dim()).expand_as(loc_data)
RuntimeError: The expanded size of the tensor (50888) must match the existing size (56992) at non-singleton dimension 1. Target sizes: [8, 50888, 4]. Tensor sizes: [8, 56992, 1]
(torch) PS D:\vsAImc\yolact> d:; cd 'd:\vsAImc\yolact'; & 'D:\Anaconda3\envs\torch\python.exe' 'c:\Users\Administrator\.vscode\extensions\ms-python.python-2021.10.1336267007\pythonFiles\lib\python\debugpy\launcher' '52110' '--' 'd:\vsAImc\yolact\train.py'