code: def _SparseToDense(
      sparse_indices,
      output_size,
      sparse_values,
      default_value,
      validate_indices=True,
  ):
      feed_sparse_indices = array_ops.placeholder(dtypes.int32)
      feed_dict = {feed_sparse_indices: sparse_indices}
      return sparse_ops.sparse_to_dense(
          feed_sparse_indices,
          output_size,
          sparse_values,
          default_value=default_value,
          validate_indices=validate_indices,
      ).eval(feed_dict=feed_dict)
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling a global function with example usage: _SparseToDense(sparse_indices, output_size, sparse_values, default_value, validate_indices) and returns: sparse_ops