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Add DPEvent to the state in DifferentiallyPrivateFactory's next_fn. This requires implementing initial_sample_state in TreeRangeSumQuery for tests to pass. #333

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Add DPEvent to the state in DifferentiallyPrivateFactory's next_fn. This requires implementing initial_sample_state in TreeRangeSumQuery for tests to pass. #333

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9 changes: 5 additions & 4 deletions tensorflow_privacy/privacy/dp_query/dp_query.py
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Original file line number Diff line number Diff line change
Expand Up @@ -268,10 +268,11 @@ def derive_metrics(self, global_state):

def _zeros_like(arg):
"""A `zeros_like` function that also works for `tf.TensorSpec`s."""
try:
arg = tf.convert_to_tensor(value=arg)
except TypeError:
pass
if not isinstance(arg, tf.TensorSpec):
try:
arg = tf.convert_to_tensor(value=arg)
except TypeError:
pass
return tf.zeros(arg.shape, arg.dtype)


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8 changes: 7 additions & 1 deletion tensorflow_privacy/privacy/dp_query/tree_range_query.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@

import distutils
import math
from typing import Optional
from typing import Any, Optional

import attr
import dp_accounting
Expand Down Expand Up @@ -136,6 +136,12 @@ def initial_global_state(self):
arity=self._arity,
inner_query_state=self._inner_query.initial_global_state())

def initial_sample_state(self, template: Optional[Any] = None):
"""Implements `tensorflow_privacy.DPQuery.initial_sample_state`."""
return self.preprocess_record(
self.derive_sample_params(self.initial_global_state()),
super().initial_sample_state(template))

def derive_sample_params(self, global_state):
"""Implements `tensorflow_privacy.DPQuery.derive_sample_params`."""
return (global_state.arity,
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