code: def forward(self, attention_weights_cat):
      processed_attention = self.location_conv(attention_weights_cat)
      processed_attention = processed_attention.transpose(1, 2)
      processed_attention = self.location_dense(processed_attention)
      return processed_attention
  
imports: from math import sqrt
  import torch
  import torch.distributions
  from torch.autograd import Variable
  from torch import nn
  from torch.nn import functional
  from .layers import ConvNorm, LinearNorm, GlobalAvgPool
  from .utils import to_gpu, get_mask_from_lengths
label_desc: Use image node_id 2 for calling the LocationLayer obj's underlying member method code with example usage: obj.forward(attention_weights_cat) and returns: processed_attention