class_docstr: 基础的 paddle 分类模型
class_docstr_tok: ["\u57fa\u7840\u7684","paddle","\u5206\u7c7b\u6a21\u578b"]
code: def __init__(self, num_labels, feature_dimension):
      super(PaddleNormalModel_Classification_1, self).__init__()
      self.num_labels = num_labels
  
      self.linear1 = nn.Linear(
          in_features=feature_dimension, out_features=64
      )
      self.ac1 = nn.ReLU()
      self.linear2 = nn.Linear(in_features=64, out_features=32)
      self.ac2 = nn.ReLU()
      self.output = nn.Linear(in_features=32, out_features=num_labels)
      self.loss_fn = nn.CrossEntropyLoss()
  
file_path: fastNLP/tests/helpers/models/paddle_model.py
imports: from fastNLP.envs.imports import _NEED_IMPORT_PADDLE
label_desc: Use image node_id 1 to create a new PaddleNormalModel_Classification_1 object from inherited base classes: Layer with example: obj = PaddleNormalModel_Classification_1(num_labels, feature_dimension)