class_docstr: The Semantic Encoding Loss implementation based on PaddlePaddle.
code: def __init__(self, *args, **kwargs):
      super(SECrossEntropyLoss, self).__init__()
  
file_path: PaddleSeg/paddleseg/models/losses/semantic_encode_cross_entropy_loss.py
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
label_desc: Use image node_id 1 to create a new SECrossEntropyLoss object from inherited base classes: nn with example: obj = SECrossEntropyLoss()