def _as_variant_tensor(self):
input_t = self._input_dataset._as_variant_tensor() # pylint: disable=protected-access
return gen_dataset_ops.map_dataset(
input_t,
self._map_func.captured_inputs,
f=self._map_func,
**dataset_ops.flat_structure(self))
def _as_variant_tensor(self):
input_t = self._input_dataset._as_variant_tensor() # pylint: disable=protected-access
return gen_dataset_ops.map_dataset(
input_t,
self._map_func.captured_inputs,
f=self._map_func,
**dataset_ops.flat_structure(self))
def __init__(self,
input_dataset,
map_func,
use_inter_op_parallelism=True,
preserve_cardinality=False,
use_legacy_function=False):
"""See `Dataset.map()` for details."""
self._input_dataset = input_dataset
self._use_inter_op_parallelism = use_inter_op_parallelism
self._preserve_cardinality = preserve_cardinality
self._map_func = map_func # StructuredFunctionWrapper
variant_tensor = gen_dataset_ops.map_dataset(
input_dataset._variant_tensor, # pylint: disable=protected-access
self._map_func.function.captured_inputs,
f=self._map_func.function,
use_inter_op_parallelism=self._use_inter_op_parallelism,
preserve_cardinality=self._preserve_cardinality,
**self._flat_structure)
super(TntMapDataset, self).__init__(input_dataset, variant_tensor)