code: def _make_inputs_dense(transformed_features):
      return {
          k: tf.sparse.to_dense(v)
          if isinstance(v, tf.SparseTensor)
          else v
          for k, v in transformed_features.items()
      }
  
file_path: transform/examples/census_example.py
imports: import os
  import pprint
  import tempfile
  import tensorflow
  from tensorflow import estimator
  import tensorflow_transform
  import census_example_common
label_desc: Use image node_id 1 for calling a global function with example usage: _make_inputs_dense(transformed_features) and returns: unknown