code: def fc_layer(x, num_out, dropout_rate, name="fc"):
      with tf.variable_scope(name):
          out = x
          out = tf.layers.dense(out, num_out)
          out = contrib.layers().layer_norm(out)
          out = tf.nn.relu(out)
          out = tf.layers.dropout(out, dropout_rate)
          return out
  
file_path: tensor2tensor/tensor2tensor/models/research/gene_expression.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from six.moves import range
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling a global function with example usage: fc_layer(x, num_out, dropout_rate, name) and returns: out