code: def forward(self):
      out = tf.matmul(self.x, self.W)
      out = tf.nn.relu(out)
      out = tf.nn.log_softmax(out, axis=1)
      out = tf.multiply(out, self.m) + self.m
      out = tf.reduce_sum(out)
      return out
  
imports: import unittest
  import numpy
  import tensorflow
  import tensorflow_addons
  from tinygrad.tensor import Tensor
  from tinygrad.nn.optim import LAMB
label_desc: Use image node_id 2 for calling the TinyNetTF obj's underlying member method code with example usage: obj.forward() and returns: out