def test_passes_with_federated_map(self):
intrinsic = building_blocks.Intrinsic(
intrinsic_defs.FEDERATED_MAP.uri,
computation_types.FunctionType([
computation_types.FunctionType(tf.int32, tf.float32),
computation_types.FederatedType(tf.int32, placements.CLIENTS)
], computation_types.FederatedType(tf.float32, placements.CLIENTS)))
tree_analysis.check_intrinsics_whitelisted_for_reduction(intrinsic)
def test_raises_with_federated_mean(self):
intrinsic = building_blocks.Intrinsic(
intrinsic_defs.FEDERATED_MEAN.uri,
computation_types.FunctionType(
computation_types.FederatedType(tf.int32, placements.CLIENTS),
computation_types.FederatedType(tf.int32, placements.SERVER)))
with self.assertRaisesRegex(ValueError, intrinsic.compact_representation()):
tree_analysis.check_intrinsics_whitelisted_for_reduction(intrinsic)
def test_generic_divide_reduces(self):
uri = intrinsic_defs.GENERIC_DIVIDE.uri
context_stack = context_stack_impl.context_stack
comp = building_blocks.Intrinsic(
uri, computation_types.FunctionType([tf.float32, tf.float32],
tf.float32))
count_before_reduction = _count_intrinsics(comp, uri)
reduced, modified = value_transformations.replace_all_intrinsics_with_bodies(
comp, context_stack)
count_after_reduction = _count_intrinsics(reduced, uri)
self.assertGreater(count_before_reduction, 0)
self.assertEqual(count_after_reduction, 0)
tree_analysis.check_intrinsics_whitelisted_for_reduction(reduced)
self.assertTrue(modified)
def test_raises_on_none(self):
with self.assertRaises(TypeError):
tree_analysis.check_intrinsics_whitelisted_for_reduction(None)
def get_canonical_form_for_iterative_process(iterative_process):
"""Constructs `tff.backends.mapreduce.CanonicalForm` given iterative process.
This function transforms computations from the input `iterative_process` into
an instance of `tff.backends.mapreduce.CanonicalForm`.
Args:
iterative_process: An instance of `tff.utils.IterativeProcess`.
Returns:
An instance of `tff.backends.mapreduce.CanonicalForm` equivalent to this
process.
Raises:
TypeError: If the arguments are of the wrong types.
transformations.CanonicalFormCompilationError: If the compilation
process fails.
"""
py_typecheck.check_type(iterative_process,
computation_utils.IterativeProcess)
initialize_comp = building_blocks.ComputationBuildingBlock.from_proto(
iterative_process.initialize._computation_proto) # pylint: disable=protected-access
next_comp = building_blocks.ComputationBuildingBlock.from_proto(
iterative_process.next._computation_proto) # pylint: disable=protected-access
_check_iterative_process_compatible_with_canonical_form(
initialize_comp, next_comp)
if len(next_comp.type_signature.result) == 2:
next_comp = _create_next_with_fake_client_output(next_comp)
initialize_comp = _replace_intrinsics_with_bodies(initialize_comp)
next_comp = _replace_intrinsics_with_bodies(next_comp)
tree_analysis.check_intrinsics_whitelisted_for_reduction(initialize_comp)
tree_analysis.check_intrinsics_whitelisted_for_reduction(next_comp)
tree_analysis.check_broadcast_not_dependent_on_aggregate(next_comp)
if tree_analysis.contains_called_intrinsic(
next_comp, intrinsic_defs.FEDERATED_BROADCAST.uri):
before_broadcast, after_broadcast = (
transformations.force_align_and_split_by_intrinsics(
next_comp, [intrinsic_defs.FEDERATED_BROADCAST.uri]))
else:
before_broadcast, after_broadcast = (
_create_before_and_after_broadcast_for_no_broadcast(next_comp))
contains_federated_aggregate = tree_analysis.contains_called_intrinsic(
next_comp, intrinsic_defs.FEDERATED_AGGREGATE.uri)
contains_federated_secure_sum = tree_analysis.contains_called_intrinsic(
next_comp, intrinsic_defs.FEDERATED_SECURE_SUM.uri)
if contains_federated_aggregate and contains_federated_secure_sum:
before_aggregate, after_aggregate = (
transformations.force_align_and_split_by_intrinsics(
after_broadcast, [
intrinsic_defs.FEDERATED_AGGREGATE.uri,
intrinsic_defs.FEDERATED_SECURE_SUM.uri,
]))
elif not contains_federated_aggregate:
before_aggregate, after_aggregate = (
_create_before_and_after_aggregate_for_no_federated_aggregate(
after_broadcast))
elif not contains_federated_secure_sum:
before_aggregate, after_aggregate = (
_create_before_and_after_aggregate_for_no_federated_secure_sum(
after_broadcast))
else:
raise ValueError(
'Expected an `tff.utils.IterativeProcess` containing at least one '
'`federated_aggregate` or `federated_secure_sum`, found none.')
type_info = _get_type_info(initialize_comp, before_broadcast,
after_broadcast, before_aggregate,
after_aggregate)
initialize = transformations.consolidate_and_extract_local_processing(
initialize_comp)
_check_type_equal(initialize.type_signature, type_info['initialize_type'])
prepare = _extract_prepare(before_broadcast)
_check_type_equal(prepare.type_signature, type_info['prepare_type'])
work = _extract_work(before_aggregate, after_aggregate)
_check_type_equal(work.type_signature, type_info['work_type'])
zero, accumulate, merge, report = _extract_federated_aggregate_functions(
before_aggregate)
_check_type_equal(zero.type_signature, type_info['zero_type'])
_check_type_equal(accumulate.type_signature, type_info['accumulate_type'])
_check_type_equal(merge.type_signature, type_info['merge_type'])
_check_type_equal(report.type_signature, type_info['report_type'])
bitwidth = _extract_federated_secure_sum_functions(before_aggregate)
_check_type_equal(bitwidth.type_signature, type_info['bitwidth_type'])
update = _extract_update(after_aggregate)
_check_type_equal(update.type_signature, type_info['update_type'])
return canonical_form.CanonicalForm(
computation_wrapper_instances.building_block_to_computation(
initialize),
computation_wrapper_instances.building_block_to_computation(prepare),
computation_wrapper_instances.building_block_to_computation(work),
computation_wrapper_instances.building_block_to_computation(zero),
computation_wrapper_instances.building_block_to_computation(
accumulate),
computation_wrapper_instances.building_block_to_computation(merge),
computation_wrapper_instances.building_block_to_computation(report),
computation_wrapper_instances.building_block_to_computation(bitwidth),
computation_wrapper_instances.building_block_to_computation(update))
def get_canonical_form_for_iterative_process(iterative_process):
"""Constructs `tff.backends.mapreduce.CanonicalForm` given iterative process.
This function transforms computations from the input `iterative_process` into
an instance of `tff.backends.mapreduce.CanonicalForm`.
Args:
iterative_process: An instance of `tff.utils.IterativeProcess`.
Returns:
An instance of `tff.backends.mapreduce.CanonicalForm` equivalent to this
process.
Raises:
TypeError: If the arguments are of the wrong types.
transformations.CanonicalFormCompilationError: If the compilation
process fails.
"""
py_typecheck.check_type(iterative_process,
computation_utils.IterativeProcess)
initialize_comp = building_blocks.ComputationBuildingBlock.from_proto(
iterative_process.initialize._computation_proto) # pylint: disable=protected-access
next_comp = building_blocks.ComputationBuildingBlock.from_proto(
iterative_process.next._computation_proto) # pylint: disable=protected-access
if not (isinstance(next_comp.type_signature.parameter,
computation_types.NamedTupleType)
and isinstance(next_comp.type_signature.result,
computation_types.NamedTupleType)):
raise TypeError(
'Any IterativeProcess compatible with CanonicalForm must '
'have a `next` function which takes and returns instances '
'of `tff.NamedTupleType`; your next function takes '
'parameters of type {} and returns results of type {}'.format(
next_comp.type_signature.parameter,
next_comp.type_signature.result))
if len(next_comp.type_signature.result) == 2:
next_comp = _create_next_with_fake_client_output(next_comp)
initialize_comp = replace_intrinsics_with_bodies(initialize_comp)
next_comp = replace_intrinsics_with_bodies(next_comp)
tree_analysis.check_intrinsics_whitelisted_for_reduction(initialize_comp)
tree_analysis.check_intrinsics_whitelisted_for_reduction(next_comp)
tree_analysis.check_broadcast_not_dependent_on_aggregate(next_comp)
if tree_analysis.contains_called_intrinsic(
next_comp, intrinsic_defs.FEDERATED_BROADCAST.uri):
before_broadcast, after_broadcast = (
transformations.force_align_and_split_by_intrinsics(
next_comp, [intrinsic_defs.FEDERATED_BROADCAST.uri]))
else:
before_broadcast, after_broadcast = (
_create_before_and_after_broadcast_for_no_broadcast(next_comp))
before_aggregate, after_aggregate = (
transformations.force_align_and_split_by_intrinsics(
after_broadcast, [intrinsic_defs.FEDERATED_AGGREGATE.uri]))
init_info_packed = pack_initialize_comp_type_signature(
initialize_comp.type_signature)
next_info_packed = pack_next_comp_type_signature(next_comp.type_signature,
init_info_packed)
before_broadcast_info_packed = (
check_and_pack_before_broadcast_type_signature(
before_broadcast.type_signature, next_info_packed))
before_aggregate_info_packed = (
check_and_pack_before_aggregate_type_signature(
before_aggregate.type_signature, before_broadcast_info_packed))
canonical_form_types = check_and_pack_after_aggregate_type_signature(
after_aggregate.type_signature, before_aggregate_info_packed)
initialize = transformations.consolidate_and_extract_local_processing(
initialize_comp)
if initialize.type_signature.result != canonical_form_types[
'initialize_type'].member:
raise transformations.CanonicalFormCompilationError(
'Compilation of initialize has failed. Expected to extract a '
'`building_blocks.CompiledComputation` of type {}, instead we extracted '
'a {} of type {}.'.format(next_comp.type_signature.parameter[0],
type(initialize),
initialize.type_signature.result))
prepare = extract_prepare(before_broadcast, canonical_form_types)
work = extract_work(before_aggregate, after_aggregate,
canonical_form_types)
zero_noarg_function, accumulate, merge, report = extract_aggregate_functions(
before_aggregate, canonical_form_types)
update = extract_update(after_aggregate, canonical_form_types)
cf = canonical_form.CanonicalForm(
computation_wrapper_instances.building_block_to_computation(
initialize),
computation_wrapper_instances.building_block_to_computation(prepare),
computation_wrapper_instances.building_block_to_computation(work),
computation_wrapper_instances.building_block_to_computation(
zero_noarg_function),
computation_wrapper_instances.building_block_to_computation(
accumulate),
computation_wrapper_instances.building_block_to_computation(merge),
computation_wrapper_instances.building_block_to_computation(report),
computation_wrapper_instances.building_block_to_computation(update))
return cf
