Esempio n. 1
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 def _as_variant_tensor(self):
   return gen_dataset_ops.dense_to_sparse_batch_dataset(
       self._input_dataset._as_variant_tensor(),  # pylint: disable=protected-access
       self._batch_size,
       self._row_shape,
       output_shapes=self.output_shapes,
       output_types=self.output_types)
Esempio n. 2
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 def _as_variant_tensor(self):
   return gen_dataset_ops.dense_to_sparse_batch_dataset(
       self._input_dataset._as_variant_tensor(),  # pylint: disable=protected-access
       self._batch_size,
       self._row_shape,
       output_shapes=self.output_shapes,
       output_types=self.output_types)
Esempio n. 3
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 def _as_variant_tensor(self):
   return gen_dataset_ops.dense_to_sparse_batch_dataset(
       self._input_dataset._as_variant_tensor(),  # pylint: disable=protected-access
       self._batch_size,
       row_shape=dataset_ops._partial_shape_to_tensor(self._row_shape),  # pylint: disable=protected-access
       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)))
Esempio n. 4
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 def _as_variant_tensor(self):
   return gen_dataset_ops.dense_to_sparse_batch_dataset(
       self._input_dataset._as_variant_tensor(),  # pylint: disable=protected-access
       self._batch_size,
       row_shape=dataset_ops._partial_shape_to_tensor(self._row_shape),  # pylint: disable=protected-access
       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)))
Esempio n. 5
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 def _as_variant_tensor(self):
   return gen_dataset_ops.dense_to_sparse_batch_dataset(
       self._input_dataset._as_variant_tensor(),  # pylint: disable=protected-access
       self._batch_size,
       row_shape=convert.partial_shape_to_tensor(self._row_shape),
       **dataset_ops.flat_structure(self))
Esempio n. 6
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 def _as_variant_tensor(self):
     return gen_dataset_ops.dense_to_sparse_batch_dataset(
         self._input_dataset._as_variant_tensor(),  # pylint: disable=protected-access
         self._batch_size,
         row_shape=convert.partial_shape_to_tensor(self._row_shape),
         **dataset_ops.flat_structure(self))