Python experimental_random_dataset Examples

Example #1

 def __init__(self, seed=None):
     """A `Dataset` of pseudorandom values."""
     self._seed, self._seed2 = random_seed.get_seed(seed)
     variant_tensor = gen_experimental_dataset_ops.experimental_random_dataset(
         seed=self._seed,
         seed2=self._seed2,
         **dataset_ops.flat_structure(self))
     super(RandomDatasetV2, self).__init__(variant_tensor)

Example #2

File: random_ops.py Project: tftuner/tf_fast_recovery

 def __init__(self, seed=None):
   """A `Dataset` of pseudorandom values."""
   self._seed, self._seed2 = random_seed.get_seed(seed)
   if compat.forward_compatible(2019, 8, 3):
     variant_tensor = gen_experimental_dataset_ops.random_dataset(
         seed=self._seed, seed2=self._seed2, **self._flat_structure)
   else:
     variant_tensor = gen_experimental_dataset_ops.experimental_random_dataset(
         seed=self._seed, seed2=self._seed2, **self._flat_structure)
   super(RandomDatasetV2, self).__init__(variant_tensor)

Example #3

File: random_ops.py Project: Wajih-O/tensorflow

 def __init__(self, seed=None):
   """A `Dataset` of pseudorandom values."""
   self._seed, self._seed2 = random_seed.get_seed(seed)
   variant_tensor = gen_experimental_dataset_ops.experimental_random_dataset(
       seed=self._seed, seed2=self._seed2, **dataset_ops.flat_structure(self))
   super(RandomDatasetV2, self).__init__(variant_tensor)

Example #4

File: random_ops.py Project: vic-yes/tensorflow

 def _as_variant_tensor(self):
   return gen_experimental_dataset_ops.experimental_random_dataset(
       seed=self._seed,
       seed2=self._seed2,
       **dataset_ops.flat_structure(self))