code: def __init__(self, inp: int, oup: int, embed_dim: int):
      super().__init__()
  
      self.local_embedding = layers.ConvBN(
          inp, embed_dim, kernel_size=1, bias_attr=False
      )
      self.global_act = layers.ConvBN(
          oup, embed_dim, kernel_size=1, bias_attr=False
      )
      self.act = nn.Hardsigmoid()
  
file_path: PaddleSeg/paddleseg/models/seaformer_seg.py
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new FusionBlock object from inherited base classes: nn with example: obj = FusionBlock(inp, oup, embed_dim)