def _as_variant_tensor(self):
return gen_dataset_ops.slide_dataset(
self._input_dataset._as_variant_tensor(), # pylint: disable=protected-access
window_size=self._window_size,
window_shift=self._window_shift,
window_stride=self._window_stride,
**dataset_ops.flat_structure(self))
def _as_variant_tensor(self):
return gen_dataset_ops.slide_dataset(
self._input_dataset._as_variant_tensor(), # pylint: disable=protected-access
window_size=self._window_size,
window_shift=self._window_shift,
window_stride=self._window_stride,
**dataset_ops.flat_structure(self))
def _as_variant_tensor(self):
return gen_dataset_ops.slide_dataset(
self._input_dataset._as_variant_tensor(), # pylint: disable=protected-access
window_size=self._window_size,
stride=self._stride,
output_shapes=nest.flatten(
sparse.as_dense_shapes(self.output_shapes, self.output_classes)),
output_types=nest.flatten(
sparse.as_dense_types(self.output_types, self.output_classes)))
def _as_variant_tensor(self):
return gen_dataset_ops.slide_dataset(
self._input_dataset._as_variant_tensor(), # pylint: disable=protected-access
window_size=self._window_size,
stride=self._stride,
output_shapes=nest.flatten(
sparse.as_dense_shapes(self.output_shapes, self.output_classes)),
output_types=nest.flatten(
sparse.as_dense_types(self.output_types, self.output_classes)))