code: def forward(self, g: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
      g1 = self.W_g(g)
      x1 = self.W_x(x)
      psi: torch.Tensor = self.relu(g1 + x1)
      psi = self.psi(psi)
  
      return x * psi
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  import torch
  import torch.nn
  from monai.networks.blocks.convolutions import Convolution
  from monai.networks.layers.factories import Norm
label_desc: Use image node_id 2 for calling the AttentionBlock obj's underlying member method code with example usage: obj.forward(g, x) and returns: unknown