code bug while training parseq in paddleOCR

[SleepEarlyLiveLong]

Hi, thank you for your outstanding work! I encountered an error while trying to reproduce your work based on the PaddleOCR framework. It seems to be a bug in the code. Please take a look at the specific information below:

Here is the config file:
`
Global:
use_gpu: True
epoch_num: 100
log_smooth_window: 20
print_batch_step: 5
save_model_dir: ./output/rec/parseq_cty_v1
save_epoch_step: 3
eval_batch_step: [0, 500]
cal_metric_during_train: True
pretrained_model:
checkpoints:
save_inference_dir:
use_visualdl: False
infer_img: doc/imgs_words_en/word_10.png
character_dict_path: ppocr/utils/dict/parseq_dict_mixlang.txt
character_type: ch
max_text_length: 35 # 35
num_heads: 8
infer_mode: False
use_space_char: False
save_res_path: ./output/rec/predicts_parseq.txt

Optimizer:
name: Adam
beta1: 0.9
beta2: 0.999
lr:
name: OneCycle
max_lr: 0.0007

Architecture:
model_type: rec
algorithm: ParseQ
in_channels: 3
Transform:
Backbone:
name: ViTParseQ
img_size: [32, 128]
patch_size: [4, 8]
embed_dim: 384
depth: 12
num_heads: 6
mlp_ratio: 4
in_channels: 3
Head:
name: ParseQHead
# Architecture
max_text_length: 35
embed_dim: 384
dec_num_heads: 12
dec_mlp_ratio: 4
dec_depth: 1
# Training
perm_num: 6
perm_forward: true
perm_mirrored: true
dropout: 0.1
# Decoding mode (test)
decode_ar: true
refine_iters: 1

Loss:
name: ParseQLoss

PostProcess:
name: ParseQLabelDecode

Metric:
name: RecMetric
main_indicator: acc
is_filter: True

Train:
dataset:
name: LMDBDataSet
data_dir: /mnt/workspace/workgroup/sukunming/code/parseq/data/train/synth
transforms:
- DecodeImage: # load image
img_mode: BGR
channel_first: False
- ParseQRecAug:
aug_type: 0 # or 1
- ParseQLabelEncode:
- SVTRRecResizeImg:
image_shape: [3, 32, 128]
padding: False
- KeepKeys:
keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
loader:
shuffle: True
batch_size_per_card: 192
drop_last: True
num_workers: 4

Eval:
dataset:
name: LMDBDataSet
data_dir: /mnt/workspace/workgroup/sukunming/code/parseq/data/val_label_data/synth
transforms:
- DecodeImage: # load image
img_mode: BGR
channel_first: False
- ParseQLabelEncode: # Class handling label
- SVTRRecResizeImg:
image_shape: [3, 32, 128]
padding: False
- KeepKeys:
keep_keys: ['image', 'label', 'length']
loader:
shuffle: False
drop_last: False
batch_size_per_card: 384
num_workers: 4

`

Here is the what 'data_dir' looks like, each folder includes two file: 'data.mdb' and 'lock.mdb', which are generated by 'python tools/create_lmdb_dataset.py /path/to/img/root /path/to/gt /path/to/save/lmdb':

Based on infos above, I run order "python3 tools/train.py -c configs/rec/rec_vit_parseq_cty_v1.yml" and encountered a bug at 'ppocr/modeling/heads/rec_parseq_head.py' Line 498:

where targets[0]:

targets[1]:

And:

Is there something wrong with the code? How to solve the problem? Thank you a lot!