code: def forward(self, x):
      outputs = tf.matmul(x, self.weight) + self.bias
      return outputs
  
imports: import numpy
  import tensorflow
  from tensorlayer.layers import Layer, Dropout, Dense, Input, BatchNorm, Reshape, Elementwise
  from tensorlayer.models import Model
  from tensorlayer import logging
  from .common import mask_weight, neighbour_matrix
label_desc: Use image node_id 3 for calling the Mask_layer obj's underlying member method code with example usage: obj.forward(x) and returns: outputs