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[11/15 02:06:37 adet.trainer]: Starting training from iteration 0
Traceback (most recent call last):
File "train_net.py", line 303, in
args=(args,),
File "/root/anaconda3/envs/uoais/lib/python3.7/site-packages/detectron2/engine/launch.py", line 82, in launch
main_func(*args)
File "train_net.py", line 286, in main
return trainer.train()
File "train_net.py", line 83, in train
self.train_loop(self.start_iter, self.max_iter)
File "train_net.py", line 73, in train_loop
self.run_step()
File "/root/anaconda3/envs/uoais/lib/python3.7/site-packages/detectron2/engine/defaults.py", line 494, in run_step
self._trainer.run_step()
File "/root/anaconda3/envs/uoais/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 287, in run_step
self._write_metrics(loss_dict, data_time)
File "/root/anaconda3/envs/uoais/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 302, in _write_metrics
SimpleTrainer.write_metrics(loss_dict, data_time, prefix)
File "/root/anaconda3/envs/uoais/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 339, in write_metrics
f"Loss became infinite or NaN at iteration={storage.iter}!\n"
FloatingPointError: Loss became infinite or NaN at iteration=0!
loss_dict = {'loss_cls': 157.09115600585938, 'loss_box_reg': 5.162332534790039, 'loss_visible_mask': 3.1945271492004395, 'loss_amodal_mask': 2.944978952407837, 'loss_occ_cls': nan, 'loss_rpn_cls': 9.696294784545898, 'loss_rpn_loc': 12.890896797180176}
The text was updated successfully, but these errors were encountered:
Hello friend, this problem is caused by the deep learning environment. You need to make sure that your device environment is consistent with the code requirements, and replace it with a GPU with more memory.
---Original---
From: ***@***.***>
Date: Wed, May 22, 2024 21:54 PM
To: ***@***.***>;
Cc: ***@***.******@***.***>;
Subject: Re: [gist-ailab/uoais] FloatingPointError: Loss became infinite orNaN at iteration=0! (Issue #16)
halo friend! Did you work out this error? Can you give me some advice?
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Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you authored the thread.Message ID: ***@***.***>
The loss_occ_cls of the first iteration is 0
[11/15 02:06:37 adet.trainer]: Starting training from iteration 0
Traceback (most recent call last):
File "train_net.py", line 303, in
args=(args,),
File "/root/anaconda3/envs/uoais/lib/python3.7/site-packages/detectron2/engine/launch.py", line 82, in launch
main_func(*args)
File "train_net.py", line 286, in main
return trainer.train()
File "train_net.py", line 83, in train
self.train_loop(self.start_iter, self.max_iter)
File "train_net.py", line 73, in train_loop
self.run_step()
File "/root/anaconda3/envs/uoais/lib/python3.7/site-packages/detectron2/engine/defaults.py", line 494, in run_step
self._trainer.run_step()
File "/root/anaconda3/envs/uoais/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 287, in run_step
self._write_metrics(loss_dict, data_time)
File "/root/anaconda3/envs/uoais/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 302, in _write_metrics
SimpleTrainer.write_metrics(loss_dict, data_time, prefix)
File "/root/anaconda3/envs/uoais/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 339, in write_metrics
f"Loss became infinite or NaN at iteration={storage.iter}!\n"
FloatingPointError: Loss became infinite or NaN at iteration=0!
loss_dict = {'loss_cls': 157.09115600585938, 'loss_box_reg': 5.162332534790039, 'loss_visible_mask': 3.1945271492004395, 'loss_amodal_mask': 2.944978952407837, 'loss_occ_cls': nan, 'loss_rpn_cls': 9.696294784545898, 'loss_rpn_loc': 12.890896797180176}
The text was updated successfully, but these errors were encountered: