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