jayalekshmijayakumar@Jayalekshmis-MacBook-Air orange % python prepare_data.py cornell
Creating annotations for cornell
885it [00:00, 726695.19it/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 885/885 [04:12<00:00, 3.50it/s]
Done.
(myproject) jayalekshmijayakumar@Jayalekshmis-MacBook-Air orange % python main.py --dataset=cornell --model=unet --use_bin_loss --use_bin_attention_loss --use_graspness_loss
2024-07-30 14:13:16,614 - INFO - Performing training for unet_cornell
2024-07-30 14:13:16,616 - DEBUG - Set up dataset of 796 files
2024-07-30 14:13:16,617 - DEBUG - Set up dataset of 89 files
2024-07-30 14:13:16,617 - DEBUG - Batch size is 8
2024-07-30 14:13:16,617 - DEBUG - Learning rate is now 0.002
0%| | 0/99 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/Users/jayalekshmijayakumar/orange/main.py", line 167, in <module>
main()
File "/Users/jayalekshmijayakumar/orange/main.py", line 163, in main
model.train_test(cfg, model_params)
File "/Users/jayalekshmijayakumar/orange/src/models/unet.py", line 120, in train_test
train_tester.train_test()
File "/Users/jayalekshmijayakumar/orange/src/train_testers/base_train_tester.py", line 72, in train_test
self.train(
File "/Users/jayalekshmijayakumar/orange/src/train_testers/base_train_tester.py", line 105, in train
loss_history, keep_training = self._train_epoch(
^^^^^^^^^^^^^^^^^^
File "/Users/jayalekshmijayakumar/orange/src/train_testers/base_train_tester.py", line 130, in _train_epoch
for batch in tqdm(self.data_loader):
File "/Users/jayalekshmijayakumar/.pyenv/versions/myproject/lib/python3.12/site-packages/tqdm/std.py", line 1181, in __iter__
for obj in iterable:
File "/Users/jayalekshmijayakumar/.pyenv/versions/myproject/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 440, in __iter__
return self._get_iterator()
^^^^^^^^^^^^^^^^^^^^
File "/Users/jayalekshmijayakumar/.pyenv/versions/myproject/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 388, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/jayalekshmijayakumar/.pyenv/versions/myproject/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1038, in __init__
w.start()
File "/Users/jayalekshmijayakumar/.pyenv/versions/3.12.0/lib/python3.12/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
^^^^^^^^^^^^^^^^^
File "/Users/jayalekshmijayakumar/.pyenv/versions/3.12.0/lib/python3.12/multiprocessing/context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/jayalekshmijayakumar/.pyenv/versions/3.12.0/lib/python3.12/multiprocessing/context.py", line 289, in _Popen
return Popen(process_obj)
^^^^^^^^^^^^^^^^^^
File "/Users/jayalekshmijayakumar/.pyenv/versions/3.12.0/lib/python3.12/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/Users/jayalekshmijayakumar/.pyenv/versions/3.12.0/lib/python3.12/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/Users/jayalekshmijayakumar/.pyenv/versions/3.12.0/lib/python3.12/multiprocessing/popen_spawn_posix.py", line 47, in _launch
reduction.dump(process_obj, fp)
File "/Users/jayalekshmijayakumar/.pyenv/versions/3.12.0/lib/python3.12/multiprocessing/reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'GraspDataLoader.__init__.<locals>.<lambda>'
Hi, I've never ran into this issue. It seems that you're using python3.12. Although I don't see why that would create a problem, keep in mind that we tested this with python3.7 or earlier.
You can give it a shot.