在AI studio别人的公开项目的基础上，改动配置文件来使用自建数据集进行训练，发生‘metaclass conflict‘错误

[X-MingYang]

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原项目链接：https://aistudio.baidu.com/projectdetail/2089732?channelType=0&channel=0
本人数据集按照官方文档进行搭建：
https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.9/docs/data/transform/transform_cn.md
对于配置文件只改动了【num_classes】、【dataset_root】、【train_path】、【val_path】。发生报错如图所示


##本人改动过的ocrnet_dlrsd.yml
base: './configs/base/dlrsd.yml'

batch_size: 2
iters: 160000

model:
type: OCRNet
backbone:
type: HRNet_W18
pretrained: https://bj.bcebos.com/paddleseg/dygraph/hrnet_w18_ssld.tar.gz
num_classes: 2
backbone_indices: [0]

optimizer:
type: sgd

lr_scheduler:
type: PolynomialDecay
learning_rate: 0.01
power: 0.9

loss:
types:
- type: CrossEntropyLoss
- type: CrossEntropyLoss
coef: [1, 0.4]

##本人改动过的dlrsd.yml
batch_size: 2
iters: 80000

train_dataset:
type: Dataset
dataset_root: home/aistudio/data/labeldata/labeldata
train_path: home/aistudio/data/labeldata/labeldata/train.txt
num_classes: 20
transforms:
- type: ResizeStepScaling
min_scale_factor: 0.5
max_scale_factor: 2.0
scale_step_size: 0.25
- type: RandomPaddingCrop
crop_size: [640, 640]
- type: RandomHorizontalFlip
- type: Normalize
mode: train

val_dataset:
type: Dataset
dataset_root: home/aistudio/data/labeldata/labeldata
val_path: home/aistudio/data/labeldata/labeldata/val.txt
num_classes: 20
transforms:
- type: Normalize
mode: val

optimizer:
type: sgd
momentum: 0.9
weight_decay: 4.0e-5

lr_scheduler:
type: PolynomialDecay
learning_rate: 0.01
end_lr: 0
power: 0.9

loss:
types:
- type: CrossEntropyLoss
coef: [1]

原项目中的对应配置文件如下：
##原项目中的ocrnet_dlrsd.yml
base: './configs/base/dlrsd.yml'

batch_size: 2
iters: 160000

model:
type: OCRNet
backbone:
type: HRNet_W18
pretrained: https://bj.bcebos.com/paddleseg/dygraph/hrnet_w18_ssld.tar.gz
num_classes: 18
backbone_indices: [0]

optimizer:
type: sgd

lr_scheduler:
type: PolynomialDecay
learning_rate: 0.01
power: 0.9

loss:
types:
- type: CrossEntropyLoss
- type: CrossEntropyLoss
coef: [1, 0.4]

##原项目中的dlrsd.yml
batch_size: 2
iters: 80000

train_dataset:
type: Dataset
dataset_root: dataset/dlrsd
train_path: dataset/dlrsd/train.txt
num_classes: 18
transforms:
- type: ResizeStepScaling
min_scale_factor: 0.5
max_scale_factor: 2.0
scale_step_size: 0.25
- type: RandomPaddingCrop
crop_size: [256, 256]
- type: RandomHorizontalFlip
- type: Normalize
mode: train

val_dataset:
type: Dataset
dataset_root: dataset/dlrsd
val_path: dataset/dlrsd/val.txt
num_classes: 18
transforms:
- type: Normalize
- type: Resize
target_size: [256, 256]
mode: val

optimizer:
type: sgd
momentum: 0.9
weight_decay: 4.0e-5

lr_scheduler:
type: PolynomialDecay
learning_rate: 0.01
end_lr: 0
power: 0.9

loss:
types:
- type: CrossEntropyLoss
coef: [1]

万望各位大佬指点一二！

[shiyutang]

你好，请尝试删除"meta=ABCMeta"后查看是否会持续产生这个错误，“meta=ABCMeta”用于指定继承类为抽象类而非实现类，根据代码判断这是一个风格比较混合，在forward中有具体实现的类，因此可以尝试去除继承ABCMeta。