code: def top_k_with_unique(inputs, k):
      """Finds the values and indices of the k largests entries."""
      unique_inputs = create_make_unique(tf.cast(inputs, tf.float32))
      top_values, indices = create_topk_unique(unique_inputs, k)
      top_values = tf.cast(top_values, inputs.dtype)
      return top_values, indices
  
file_path: delta/delta/layers/utils_tf.py
imports: import math
  import numpy
  import tensorflow
  from tensorflow.python.util import nest
label_desc: Use image node_id 10 for calling a global function with example usage: top_k_with_unique(inputs, k) and returns: top_values,  indices