code: def forward(self, a: torch.Tensor, e: torch.Tensor):
      x = self.position_encoding(self.embedding(a))
      for layer in self.decoders:
          x = layer(x, e)
      o = self.linear2(self.relu(x))
      return o, 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 PolicyHeadCore obj's underlying member method code with example usage: obj.forward(a, e) and returns: o,  x