code: def forward(self, x: torch.Tensor, e: torch.Tensor):
      x = self.layer_norm1(x)
      c = self.attention1(x, x, mask=True)
      c = self.drop1(c)
      x = x + c
      x = self.layer_norm2(x)
      c = self.attention2(x, e, mask=False)
      c = self.drop2(c)
      x = x + c
      return x
  
imports: import math
  import torch
  import torch.nn.functional
  from open_alpha_tensor.core.modules.attention import AlphaMultiHeadAttention
label_desc: Use image node_id 2 for calling the PolicyHeadDoubleAttention obj's underlying member method code with example usage: obj.forward(x, e) and returns: x