code: def dense_kernel_initializer(shape, dtype=None, partition_info=None):
      """Initialization for dense kernels.
  
      This initialization is equal to
        tf.variance_scaling_initializer(scale=1.0/3.0, mode='fan_out',
                                        distribution='uniform').
      It is written out explicitly here for clarity.
  
      Args:
        shape: shape of variable
        dtype: dtype of variable
        partition_info: unused
  
      Returns:
        an initialization for the variable
      """
      del partition_info
      init_range = 1.0 / np.sqrt(shape[1])
      return tf.random_uniform(
          shape, -init_range, init_range, dtype=dtype
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import functools
  import math
  from absl import logging
  import numpy
  import six
  from six.moves import xrange
  import tensorflow.compat.v1
  import utils
label_desc: Use image node_id 2 for calling a global function with example usage: dense_kernel_initializer(shape, dtype, partition_info) and returns: tf