AttributeError: 'Config' object has no attribute 'check_sync_info'

[pvinhd]

问题确认 Search before asking

• [X] 我已经查询历史issue(包括open与closed)，没有发现相似的bug。I have searched the open and closed issues and found no similar bug report.

Bug描述 Describe the Bug

I train my Customized Dataset on Google Colab and I get this error. :< !python /content/PaddleSeg/train.py --config /content/gdrive/MyDrive/config.yml --do_eval --use_vdl --save_interval 100 --save_dir output

2024-03-29 07:52:13 [INFO]
------------Environment Information------------- platform: Linux-6.1.58+-x86_64-with-glibc2.35 Python: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] Paddle compiled with cuda: True NVCC: Build cuda_12.2.r12.2/compiler.33191640_0 cudnn: 8.9 GPUs used: 1 CUDA_VISIBLE_DEVICES: None GPU: ['GPU 0: Tesla T4'] GCC: gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 PaddleSeg: 2.9.0 PaddlePaddle: 2.6.1 OpenCV: 4.5.5

2024-03-29 07:52:13 [WARNING] Add the num_classes in train_dataset and val_dataset config to model config. We suggest you manually set num_classes in model config. Traceback (most recent call last): File "/content/PaddleSeg/train.py", line 262, in main(args) File "/content/PaddleSeg/train.py", line 196, in main cfg.check_sync_info() AttributeError: 'Config' object has no attribute 'check_sync_info'

My config.yml `batch_size: 8 iters: 15000

train_dataset: type: Dataset dataset_root: /content/dataset train_path: /content/dataset/train.txt num_classes: 5 transforms:

• type: ResizeStepScaling min_scale_factor: 0.125 max_scale_factor: 1.5 scale_step_size: 0.125
• type: RandomPaddingCrop crop_size: [1024, 512]
• type: RandomHorizontalFlip
• type: RandomDistort brightness_range: 0.5 contrast_range: 0.5 saturation_range: 0.5
• type: Normalize mode: train

val_dataset:
type: Dataset dataset_root: /content/dataset val_path: /content/dataset/val.txt num_classes: 5 transforms:

• type: Normalize mode: val

optimizer: type: sgd momentum: 0.9 weight_decay: 5.0e-4

lr_scheduler: type: PolynomialDecay end_lr: 0 power: 0.9 warmup_iters: 50 warmup_start_lr: 1.0e-5 learning_rate: 0.005

loss: types:

• type: OhemCrossEntropyLoss min_kept: 130000 # batch_size 1024 512 // 16
• type: OhemCrossEntropyLoss min_kept: 130000
• type: OhemCrossEntropyLoss min_kept: 130000 coef: [1, 1, 1]

test_config: aug_eval: True scales: 0.5

model: type: PPLiteSeg backbone: type: STDC1 pretrained: https://bj.bcebos.com/paddleseg/dygraph/PP_STDCNet1.tar.gz arm_out_chs: [32, 64, 128] seg_head_inter_chs: [32, 64, 64] `

复现环境 Environment

------------Environment Information------------- platform: Linux-6.1.58+-x86_64-with-glibc2.35 Python: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] Paddle compiled with cuda: True NVCC: Build cuda_12.2.r12.2/compiler.33191640_0 cudnn: 8.9 GPUs used: 1 CUDA_VISIBLE_DEVICES: None GPU: ['GPU 0: Tesla T4'] GCC: gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 PaddleSeg: 2.9.0 PaddlePaddle: 2.6.1 OpenCV: 4.5.5

Bug描述确认 Bug description confirmation

• [X] 我确认已经提供了Bug复现步骤、代码改动说明、以及环境信息，确认问题是可以复现的。I confirm that the bug replication steps, code change instructions, and environment information have been provided, and the problem can be reproduced.

是否愿意提交PR？ Are you willing to submit a PR?

• [X] 我愿意提交PR！I'd like to help by submitting a PR!

[shiyutang]

check_sync_info is no longer used in the main branch, please try to update your code.

[TingquanGao]

Thanks for this issue. As it has been inactive for a long time, we would close it. If you has any questions, please feel free to reopen or new issue, and we will follow up and resolve it.