code: def empty_sparse(dtype, shape=None):
      if shape is None:
          shape = [0]
      return (
          np.empty(shape=(0, len(shape)), dtype=np.int64),
          np.array([], dtype=dtype),
          np.array(shape, dtype=np.int64),
      )
  
imports: import itertools
  import numpy
  from tensorflow.core.example import example_pb2
  from tensorflow.core.example import feature_pb2
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 1 for calling a global function with example usage: empty_sparse(dtype, shape) and returns: np,  np,  np