code: def adaptor_block(inp, hidden_dim):
      # Note - no residual in here as the residual connection will be from the original stack and not the mixed stack.
      hidden = tf.compat.v1.layers.dense(
          inp,
          hidden_dim,
          activation=gelu,
          kernel_initializer=tf.compat.v1.truncated_normal_initializer(
              stddev=1e-3
          ),
      )
      return tf.compat.v1.layers.dense(
          hidden,
          inp.shape[-1],
          activation=None,
          kernel_initializer=tf.compat.v1.truncated_normal_initializer(
              stddev=1e-3
          ),
      )
  
file_path: finetune/finetune/base_models/bert/table_utils.py
imports: import tensorflow
  from finetune.base_models.bert.modeling import gelu
label_desc: Use image node_id 11 for calling a global function with example usage: adaptor_block(inp, hidden_dim) and returns: tf