在Pydantic 的BaseModel中,model_config是一个类属性,它允许您为模型配置一些特定的行为。这个属性是一个ConfigDict类型的实例,您可以在其中设置各种配置选项,以改变模型的默认行为。这些配置选项可以在模型定义时设置,并且会影响所有该模型的实例。 以下是一些常用的model_config配置选项及其用途: allow_population_by_fi...
from sqlmodel import SQLModel, Field class BaseSQLModel(SQLModel): def __init__(self, **kwargs): self.__config__.table = False super().__init__(**kwargs) self.__config__.table = True class Config: validate_assignment = True class MyTable1(BaseSQLModel, table=True): a: int ...
self.to_json_file(output_config_file, use_diff=True) logger.info("Configuration saved in {}".format(output_config_file)) @classmethod def from_pretrained(cls, pretrained_model_name_or_path, **kwargs) -> "PretrainedConfig": config_dict, kwargs = cls.get_config_dict(pretrained_model_name_...
Initial Checks I confirm that I'm using Pydantic V2 Description Hello! I am aware that model_config should be ConfigDict() and this is class/instance attribute as written in documentation. I was trying to fix this behavior for my local v...
('vtype', allow_reuse=True)defreq_check(cls, t):assertt.valuein['int','cont','cat'],"'vtype' must take value from set ['int', 'cont', 'cat']"returnt# add new field called "type"@root_validator(pre=False, allow_reuse=True)definsert_type(cls, values):ifvalues['vtype']....
(base,'_meta'):# 检查是否在parents中或者是否有_meta属性# Things without _meta aren't functional models, so they're# uninteresting parents.inherited_attributes |=set(base.__dict__.keys())# 获取所有属性后继续循环continueparent_fields = base._meta.local_fields + base._meta.local_many_to_...
from_logits=True) loss = K.switch(tf.size(loss) > 0, K.mean(loss), tf.constant(0.0)) return loss def rpn_bbox_loss_graph(config, target_bbox, rpn_match, rpn_bbox): """Return the RPN bounding box loss graph. config: the model config object. target_bbox: [batch, max ...
DNA_GAN =Model(args.attributes, is_train=True) run(config, celebA, DNA_GAN, gpu=args.gpu) 开发者ID:Prinsphield,项目名称:DNA-GAN,代码行数:21,代码来源:train.py 示例4: _eval ▲点赞 6▼ # 需要导入模块: import model [as 别名]# 或者: from model importModel[as 别名]def_eval(path_to...
我使用以下 Pydantic V2 模型来序列化用户对象: class PrivateDataSerializer(BaseModel): model_config = ConfigDict(from_attributes=True) username: str | None email: str | None class ProfileSerializer(BaseModel): model_config = ConfigDict(from_attributes=True) id: int private_data: PrivateDataSeriali...
使用xrandr --addmode一直显示X Error of failed request: BadMatch (invalid parameter attributes)。解决办法是修改xorg.conf。 Section "Monitor" Identifier "VGA-0" VendorName "Unknown" ModelName "Unknown" HorizSync 28.0 - 33.0 VertRefresh 43.0 - 72.0 Option "DPMS" EndSection 这一段里的Id修改为自己...