W-E-A
commented
7 months ago Same here:
`### Dataset Building ... ### Irregular async dataset with past 1 frames and expectation time delay = 0 initialized! 1326 samples totally! Irregular async dataset with past 1 frames and expectation time delay = 0 initialized! 486 samples totally! === Time consumed: 0.0 minutes. ===
Creating Model ...
device: cuda full path is: ../logs/logs/dair_where2comm_max_multiscale_resnet_2023_11_27_15_18_54 === Time consumed: 0.1 minutes. ===
Training start!
=== supervise_single_flag: True ===
learning rate 0.002000
Traceback (most recent call last):
File "opencood/tools/train.py", line 327, in
carrolltm
(cobevflow) aitest8@e6095bf2f947:~/wynne/CoBEVFlow$ python opencood/tools/train.py --hypes_yaml opencood/hypes_yaml/dair-v2x/npj/dair_where2comm_max_multiscale_resnet.yaml
Dataset Building ...
Irregular async dataset with past 1 frames and expectation time delay = 0 initialized! 1326 samples totally! Irregular async dataset with past 1 frames and expectation time delay = 0 initialized! 486 samples totally! /public/home/aitest8/anaconda3/envs/cobevflow/lib/python3.7/site-packages/torch/utils/data/dataloader.py:481: UserWarning: This DataLoader will create 16 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary. cpuset_checked)) === Time consumed: 0.0 minutes. ===
Creating Model ...
device: cuda full path is: /public/home/aitest8/wynne/CoBEVFlow/logs/logs/dair_where2comm_max_multiscale_resnet_2023_11_07_16_37_51 === Time consumed: 0.1 minutes. ===
Training start!
=== supervise_single_flag: True === learning rate 0.002000 /public/home/aitest8/anaconda3/envs/cobevflow/lib/python3.7/site-packages/torch/utils/data/dataloader.py:481: UserWarning: This DataLoader will create 16 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary. cpuset_checked)) dict_keys(['object_bbx_center', 'object_bbx_mask', 'processed_lidar', 'record_len', 'label_dict', 'object_ids', 'pairwise_t_matrix', 'lidar_pose_clean', 'lidar_pose', 'avg_time_delay', 'cp_rate', 'single_object_label', 'object_bbx_center_single', 'object_bbx_mask_single', 'epoch']) Traceback (most recent call last): File "opencood/tools/train.py", line 327, in
main()
File "opencood/tools/train.py", line 219, in main
ouput_dict = model(batch_data['ego'])
File "/public/home/aitest8/anaconda3/envs/cobevflow/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/public/home/aitest8/wynne/CoBEVFlow/opencood/models/point_pillar_where2comm_attn.py", line 245, in forward
record_frames = data_dict['past_k_time_interval'] #(B, )
KeyError: 'past_k_time_interval'