def sequence_sum(self, value):
"""Implements `sequence_sum` as defined in `api/intrinsics.py`."""
value = value_impl.to_value(value, None, self._context_stack)
if isinstance(value.type_signature, computation_types.SequenceType):
element_type = value.type_signature.element
else:
py_typecheck.check_type(value.type_signature,
computation_types.FederatedType)
py_typecheck.check_type(value.type_signature.member,
computation_types.SequenceType)
element_type = value.type_signature.member.element
type_utils.check_is_sum_compatible(element_type)
if isinstance(value.type_signature, computation_types.SequenceType):
value = value_impl.ValueImpl.get_comp(value)
return value_impl.ValueImpl(
building_block_factory.create_sequence_sum(value),
self._context_stack)
elif isinstance(value.type_signature, computation_types.FederatedType):
intrinsic_type = computation_types.FunctionType(
value.type_signature.member, value.type_signature.member.element)
intrinsic = building_blocks.Intrinsic(intrinsic_defs.SEQUENCE_SUM.uri,
intrinsic_type)
intrinsic_impl = value_impl.ValueImpl(intrinsic, self._context_stack)
if value.type_signature.placement in [
placements.SERVER, placements.CLIENTS
]:
return self.federated_map(intrinsic_impl, value)
else:
raise TypeError('Unsupported placement {}.'.format(
value.type_signature.placement))
else:
raise TypeError(
'Cannot apply `tff.sequence_sum()` to a value of type {}.'.format(
value.type_signature))
def sequence_sum(self, value):
"""Implements `sequence_sum` as defined in `api/intrinsics.py`."""
value = value_impl.to_value(value, None, self._context_stack)
if value.type_signature.is_sequence():
element_type = value.type_signature.element
else:
py_typecheck.check_type(value.type_signature,
computation_types.FederatedType)
py_typecheck.check_type(value.type_signature.member,
computation_types.SequenceType)
element_type = value.type_signature.member.element
type_analysis.check_is_sum_compatible(element_type)
if value.type_signature.is_sequence():
value = value_impl.ValueImpl.get_comp(value)
comp = building_block_factory.create_sequence_sum(value)
comp = self._bind_comp_as_reference(comp)
return value_impl.ValueImpl(comp, self._context_stack)
elif value.type_signature.is_federated():
intrinsic_type = computation_types.FunctionType(
value.type_signature.member,
value.type_signature.member.element)
intrinsic = building_blocks.Intrinsic(
intrinsic_defs.SEQUENCE_SUM.uri, intrinsic_type)
intrinsic_impl = value_impl.ValueImpl(intrinsic,
self._context_stack)
return self.federated_map(intrinsic_impl, value)
else:
raise TypeError(
'Cannot apply `tff.sequence_sum()` to a value of type {}.'.
format(value.type_signature))
def sequence_sum(value):
"""Computes a sum of elements in a sequence.
Args:
value: A value of a TFF type that is either a sequence, or a federated
sequence.
Returns:
The sum of elements in the sequence. If the argument `value` is of a
federated type, the result is also of a federated type, with the sum
computed locally and independently at each location (see also a discussion
on `sequence_map` and `sequence_reduce`).
Raises:
TypeError: If the arguments are of wrong or unsupported types.
"""
value = value_impl.to_value(value, None)
if value.type_signature.is_sequence():
element_type = value.type_signature.element
else:
py_typecheck.check_type(value.type_signature,
computation_types.FederatedType)
py_typecheck.check_type(value.type_signature.member,
computation_types.SequenceType)
element_type = value.type_signature.member.element
type_analysis.check_is_sum_compatible(element_type)
if value.type_signature.is_sequence():
comp = building_block_factory.create_sequence_sum(value.comp)
comp = _bind_comp_as_reference(comp)
return value_impl.Value(comp)
elif value.type_signature.is_federated():
intrinsic_type = computation_types.FunctionType(
value.type_signature.member, value.type_signature.member.element)
intrinsic = building_blocks.Intrinsic(intrinsic_defs.SEQUENCE_SUM.uri,
intrinsic_type)
intrinsic_impl = value_impl.Value(intrinsic)
return federated_map(intrinsic_impl, value)
else:
raise TypeError(
'Cannot apply `tff.sequence_sum()` to a value of type {}.'.format(
value.type_signature))
