def __init__(self, input_dataset):
   self._input_dataset = input_dataset
   temp_variant_tensor = gen_dataset_ops.prefetch_dataset(
       input_dataset._variant_tensor,
       buffer_size=1,
       **dataset_ops.flat_structure(self))
   variant_tensor = gen_dataset_ops.model_dataset(
       temp_variant_tensor, **dataset_ops.flat_structure(self))
   super(_TestDataset, self).__init__(input_dataset, variant_tensor)
Beispiel #2
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 def __init__(self, input_dataset):
     self._input_dataset = input_dataset
     temp_variant_tensor = gen_dataset_ops.prefetch_dataset(
         input_dataset._variant_tensor,
         buffer_size=1,
         **self._flat_structure)
     variant_tensor = gen_dataset_ops.model_dataset(temp_variant_tensor,
                                                    **self._flat_structure)
     super(_TestDataset, self).__init__(input_dataset, variant_tensor)
Beispiel #3
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 def _as_variant_tensor(self):
     return gen_dataset_ops.model_dataset(
         self._input_dataset._as_variant_tensor(),  # pylint: disable=protected-access
         **dataset_ops.flat_structure(self))
Beispiel #4
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 def _as_variant_tensor(self):
   return gen_dataset_ops.model_dataset(
       self._input_dataset._as_variant_tensor(),  # pylint: disable=protected-access
       **dataset_ops.flat_structure(self))