def __init__(self, input_dataset):
"""See `unbatch()` for more details."""
input_shapes = dataset_ops.get_legacy_output_shapes(input_dataset)
flat_shapes = nest.flatten(input_shapes)
if any(s.ndims == 0 for s in flat_shapes):
raise ValueError("Cannot unbatch an input with scalar components.")
known_batch_dim = tensor_shape.Dimension(None)
for s in flat_shapes:
try:
known_batch_dim = known_batch_dim.merge_with(s[0])
except ValueError:
raise ValueError(
"Cannot unbatch an input whose components have "
"different batch sizes.")
self._input_dataset = input_dataset
self._structure = structure.convert_legacy_structure(
dataset_ops.get_legacy_output_types(input_dataset),
nest.map_structure(lambda s: s[1:], input_shapes),
dataset_ops.get_legacy_output_classes(input_dataset))
variant_tensor = ged_ops.experimental_unbatch_dataset(
self._input_dataset._variant_tensor, # pylint: disable=protected-access
**dataset_ops.flat_structure(self))
super(_UnbatchDataset, self).__init__(input_dataset, variant_tensor)
def __init__(self, input_dataset):
"""See `unbatch()` for more details."""
input_shapes = dataset_ops.get_legacy_output_shapes(input_dataset)
flat_shapes = nest.flatten(input_shapes)
if any(s.ndims == 0 for s in flat_shapes):
raise ValueError("Cannot unbatch an input with scalar components.")
known_batch_dim = tensor_shape.Dimension(None)
for s in flat_shapes:
try:
known_batch_dim = known_batch_dim.merge_with(s[0])
except ValueError:
raise ValueError("Cannot unbatch an input whose components have "
"different batch sizes.")
self._input_dataset = input_dataset
self._structure = dataset_ops.get_structure(input_dataset)._unbatch() # pylint: disable=protected-access
variant_tensor = ged_ops.experimental_unbatch_dataset(
self._input_dataset._variant_tensor, # pylint: disable=protected-access
**dataset_ops.flat_structure(self))
super(_UnbatchDataset, self).__init__(input_dataset, variant_tensor)
def _as_variant_tensor(self):
return ged_ops.experimental_unbatch_dataset(
self._input_dataset._as_variant_tensor(), # pylint: disable=protected-access
**dataset_ops.flat_structure(self))
def _as_variant_tensor(self):
return ged_ops.experimental_unbatch_dataset(
self._input_dataset._as_variant_tensor(), # pylint: disable=protected-access
**dataset_ops.flat_structure(self))