class FederatingExecutorCreateTupleTest(executor_test_utils.AsyncTestCase, parameterized.TestCase): # pyformat: disable @parameterized.named_parameters([ ('intrinsic_def', *executor_test_utils.create_dummy_intrinsic_def()), ('placement_literal', *executor_test_utils.create_dummy_placement_literal()), ('computation_impl', *executor_test_utils.create_dummy_computation_impl()), ('computation_call', *executor_test_utils.create_dummy_computation_call()), ('computation_intrinsic', *executor_test_utils.create_dummy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_dummy_computation_lambda_empty()), ('computation_placement', *executor_test_utils.create_dummy_computation_placement()), ('computation_selection', *executor_test_utils.create_dummy_computation_selection()), ('computation_tensorflow', *executor_test_utils.create_dummy_computation_tensorflow_empty()), ('computation_tuple', *executor_test_utils.create_dummy_computation_tuple()), ('federated_type_clients', *executor_test_utils.create_dummy_value_clients()), ('federated_type_clients_all_equal', *executor_test_utils.create_dummy_value_clients_all_equal()), ('federated_type_server', *executor_test_utils.create_dummy_value_server()), ('unplaced_type', *executor_test_utils.create_dummy_value_unplaced()), ]) # pyformat: enable def test_returns_value_with_elements(self, element, type_signature): executor = create_test_executor(num_clients=3) element = self.run_sync(executor.create_value(element, type_signature)) elements = [element] * 3 type_signature = computation_types.NamedTupleType([type_signature] * 3) result = self.run_sync(executor.create_tuple(elements)) self.assertIsInstance(result, federating_executor.FederatingExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) def test_raises_type_error_with_unembedded_elements(self): executor = create_test_executor(num_clients=3) element, _ = executor_test_utils.create_dummy_value_unplaced() elements = [element] * 3 with self.assertRaises(TypeError): self.run_sync(executor.create_tuple(elements))
class FederatingExecutorCreateTupleTest(executor_test_utils.AsyncTestCase, parameterized.TestCase): # pyformat: disable @parameterized.named_parameters([ ('placement_literal', *executor_test_utils.create_dummy_placement_literal()), ('computation_call', *executor_test_utils.create_dummy_computation_call()), ('computation_placement', *executor_test_utils.create_dummy_computation_placement()), ('computation_selection', *executor_test_utils.create_dummy_computation_selection()), ('computation_tuple', *executor_test_utils.create_dummy_computation_tuple()), ('federated_type_at_clients', *executor_test_utils.create_dummy_value_at_clients()), ('federated_type_at_clients_all_equal', *executor_test_utils.create_dummy_value_at_clients_all_equal()), ('federated_type_at_server', *executor_test_utils.create_dummy_value_at_server()), ('unplaced_type', *executor_test_utils.create_dummy_value_unplaced()), ]) # pyformat: enable def test_returns_value_with_elements_value(self, value, type_signature): executor = create_test_executor() element = self.run_sync(executor.create_value(value, type_signature)) elements = [element] * 3 type_signature = computation_types.NamedTupleType([type_signature] * 3) result = self.run_sync(executor.create_tuple(elements)) self.assertIsInstance(result, federating_executor.FederatingExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) # TODO(b/153578410): Some `FederatingExecutorValue` that can can be # constructed, can not be computed. # pyformat: disable @parameterized.named_parameters([ ('intrinsic_def_federated_eval_at_server', *executor_test_utils. create_dummy_intrinsic_def_federated_eval_at_server(), *executor_test_utils.create_dummy_computation_tensorflow_constant()), ('computation_intrinsic', *executor_test_utils.create_dummy_computation_intrinsic(), *executor_test_utils.create_dummy_computation_tensorflow_constant()), ]) # pyformat: enable def test_returns_value_with_elements_fn_and_arg(self, fn, fn_type, arg, arg_type): executor = create_test_executor() fn = self.run_sync(executor.create_value(fn, fn_type)) arg = self.run_sync(executor.create_value(arg, arg_type)) element = self.run_sync(executor.create_call(fn, arg)) elements = [element] * 3 type_signature = computation_types.NamedTupleType([fn_type.result] * 3) result = self.run_sync(executor.create_tuple(elements)) self.assertIsInstance(result, federating_executor.FederatingExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) actual_result = self.run_sync(result.compute()) expected_result = [self.run_sync(element.compute())] * 3 self.assertCountEqual(actual_result, expected_result) # pyformat: disable @parameterized.named_parameters([ ('computation_tensorflow', *executor_test_utils.create_dummy_computation_tensorflow_empty()), ]) # pyformat: enable def test_returns_value_with_elements_fn_only(self, fn, fn_type): executor = create_test_executor() fn = self.run_sync(executor.create_value(fn, fn_type)) element = self.run_sync(executor.create_call(fn)) elements = [element] * 3 type_signature = computation_types.NamedTupleType([fn_type.result] * 3) result = self.run_sync(executor.create_tuple(elements)) self.assertIsInstance(result, federating_executor.FederatingExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) actual_result = self.run_sync(result.compute()) expected_result = [self.run_sync(element.compute())] * 3 self.assertCountEqual(actual_result, expected_result) def test_raises_type_error_with_unembedded_elements(self): executor = create_test_executor() element, _ = executor_test_utils.create_dummy_value_unplaced() elements = [element] * 3 with self.assertRaises(TypeError): self.run_sync(executor.create_tuple(elements))
class FederatingExecutorCreateValueTest(executor_test_utils.AsyncTestCase, parameterized.TestCase): # pyformat: disable @parameterized.named_parameters([ ('placement_literal', *executor_test_utils.create_dummy_placement_literal()), ('computation_call', *executor_test_utils.create_dummy_computation_call()), ('computation_intrinsic', *executor_test_utils.create_dummy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_dummy_computation_lambda_empty()), ('computation_placement', *executor_test_utils.create_dummy_computation_placement()), ('computation_selection', *executor_test_utils.create_dummy_computation_selection()), ('computation_tensorflow', *executor_test_utils.create_dummy_computation_tensorflow_empty()), ('computation_tuple', *executor_test_utils.create_dummy_computation_tuple()), ('federated_type_at_clients', *executor_test_utils.create_dummy_value_at_clients()), ('federated_type_at_clients_all_equal', *executor_test_utils.create_dummy_value_at_clients_all_equal()), ('federated_type_at_server', *executor_test_utils.create_dummy_value_at_server()), ('unplaced_type', *executor_test_utils.create_dummy_value_unplaced()), ] + get_named_parameters_for_supported_intrinsics()) # pyformat: enable def test_returns_value_with_value_and_type(self, value, type_signature): executor = create_test_executor() result = self.run_sync(executor.create_value(value, type_signature)) self.assertIsInstance(result, federating_executor.FederatingExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) # pyformat: disable @parameterized.named_parameters([ ('placement_literal', *executor_test_utils.create_dummy_placement_literal()), ('computation_call', *executor_test_utils.create_dummy_computation_call()), ('computation_intrinsic', *executor_test_utils.create_dummy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_dummy_computation_lambda_empty()), ('computation_placement', *executor_test_utils.create_dummy_computation_placement()), ('computation_selection', *executor_test_utils.create_dummy_computation_selection()), ('computation_tensorflow', *executor_test_utils.create_dummy_computation_tensorflow_empty()), ('computation_tuple', *executor_test_utils.create_dummy_computation_tuple()), ]) # pyformat: enable def test_returns_value_with_value_only(self, value, type_signature): executor = create_test_executor() result = self.run_sync(executor.create_value(value)) self.assertIsInstance(result, federating_executor.FederatingExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) # pyformat: disable @parameterized.named_parameters([ ('computation_intrinsic', *executor_test_utils.create_dummy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_dummy_computation_lambda_empty()), ('computation_tensorflow', *executor_test_utils.create_dummy_computation_tensorflow_empty()), ]) # pyformat: enable def test_returns_value_with_computation_impl(self, proto, type_signature): executor = create_test_executor() value = computation_impl.ComputationImpl( proto, context_stack_impl.context_stack) result = self.run_sync(executor.create_value(value, type_signature)) self.assertIsInstance(result, federating_executor.FederatingExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) # pyformat: disable @parameterized.named_parameters([ ('federated_type_at_clients', *executor_test_utils.create_dummy_value_at_clients()), ('federated_type_at_clients_all_equal', *executor_test_utils.create_dummy_value_at_clients_all_equal()), ('federated_type_at_server', *executor_test_utils.create_dummy_value_at_server()), ('unplaced_type', *executor_test_utils.create_dummy_value_unplaced()), ] + get_named_parameters_for_supported_intrinsics()) # pyformat: enable def test_raises_type_error_with_value_only(self, value, type_signature): del type_signature # Unused. executor = create_test_executor() with self.assertRaises(TypeError): self.run_sync(executor.create_value(value)) # pyformat: disable @parameterized.named_parameters([ ('placement_literal', *executor_test_utils.create_dummy_placement_literal()), ('computation_placement', *executor_test_utils.create_dummy_computation_placement()), ('federated_type_at_clients', *executor_test_utils.create_dummy_value_at_clients()), ('federated_type_at_clients_all_equal', *executor_test_utils.create_dummy_value_at_clients_all_equal()), ('federated_type_at_server', *executor_test_utils.create_dummy_value_at_server()), ('unplaced_type', *executor_test_utils.create_dummy_value_unplaced()), ] + get_named_parameters_for_supported_intrinsics()) # pyformat: enable def test_raises_type_error_with_value_and_bad_type(self, value, type_signature): del type_signature # Unused. executor = create_test_executor() bad_type_signature = computation_types.TensorType(tf.string) with self.assertRaises(TypeError): self.run_sync(executor.create_value(value, bad_type_signature)) # pyformat: disable @parameterized.named_parameters([ ('computation_call', *executor_test_utils.create_dummy_computation_call()), ('computation_intrinsic', *executor_test_utils.create_dummy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_dummy_computation_lambda_empty()), ('computation_selection', *executor_test_utils.create_dummy_computation_selection()), ('computation_tensorflow', *executor_test_utils.create_dummy_computation_tensorflow_empty()), ('computation_tuple', *executor_test_utils.create_dummy_computation_tuple()), ]) # pyformat: enable def test_raises_type_error_with_value_and_bad_type_skipped( self, value, type_signature): del type_signature # Unused. self.skipTest( 'TODO(b/152449402): `FederatingExecutor.create_value` method should ' 'fail if it is passed a computation and an incompatible type.') executor = create_test_executor() bad_type_signature = computation_types.TensorType(tf.string) with self.assertRaises(TypeError): self.run_sync(executor.create_value(value, bad_type_signature)) # pyformat: disable @parameterized.named_parameters([ ('computation_reference', *executor_test_utils.create_dummy_computation_reference()), ('function_type', lambda: 10, type_factory.unary_op(tf.int32)), ]) # pyformat: enable def test_raises_value_error_with_value(self, value, type_signature): executor = create_test_executor() with self.assertRaises(ValueError): self.run_sync(executor.create_value(value, type_signature)) def test_raises_value_error_with_unrecognized_computation_intrinsic(self): executor = create_test_executor() # A `ValueError` will be raised because `create_value` can not recognize the # following intrinsic, because it has not been added to the intrinsic # registry. value = pb.Computation( type=type_serialization.serialize_type(tf.int32), intrinsic=pb.Intrinsic(uri='unregistered_intrinsic')) type_signature = computation_types.TensorType(tf.int32) with self.assertRaises(ValueError): self.run_sync(executor.create_value(value, type_signature)) def test_raises_value_error_with_unrecognized_computation_selection(self): executor = create_test_executor() source, _ = executor_test_utils.create_dummy_computation_tuple() type_signature = computation_types.NamedTupleType([]) # A `ValueError` will be raised because `create_value` can not handle the # following `pb.Selection`, because does not set either a name or an index # field. value = pb.Computation( type=type_serialization.serialize_type(type_signature), selection=pb.Selection(source=source)) with self.assertRaises(ValueError): self.run_sync(executor.create_value(value, type_signature)) # pyformat: disable @parameterized.named_parameters([ ('intrinsic_def_federated_broadcast', *executor_test_utils.create_dummy_intrinsic_def_federated_broadcast() ), ('intrinsic_def_federated_eval_at_clients', *executor_test_utils. create_dummy_intrinsic_def_federated_eval_at_clients()), ('intrinsic_def_federated_map', *executor_test_utils.create_dummy_intrinsic_def_federated_map()), ('intrinsic_def_federated_map_all_equal', *executor_test_utils. create_dummy_intrinsic_def_federated_map_all_equal()), ('intrinsic_def_federated_value_at_clients', *executor_test_utils. create_dummy_intrinsic_def_federated_value_at_clients()), ('federated_type_at_clients_all_equal', *executor_test_utils.create_dummy_value_at_clients_all_equal()), ('federated_type_at_clients', *executor_test_utils.create_dummy_value_at_clients()) ]) # pyformat: enable def test_raises_value_error_with_no_target_executor_clients( self, value, type_signature): executor = federating_executor.FederatingExecutor({ placement_literals.SERVER: eager_tf_executor.EagerTFExecutor(), None: eager_tf_executor.EagerTFExecutor() }) with self.assertRaises(ValueError): self.run_sync(executor.create_value(value, type_signature)) # pyformat: disable @parameterized.named_parameters([ ('intrinsic_def_federated_aggregate', *executor_test_utils.create_dummy_intrinsic_def_federated_aggregate() ), ('intrinsic_def_federated_apply', *executor_test_utils.create_dummy_intrinsic_def_federated_apply()), ('intrinsic_def_federated_collect', *executor_test_utils.create_dummy_intrinsic_def_federated_collect()), ('intrinsic_def_federated_eval_at_server', *executor_test_utils. create_dummy_intrinsic_def_federated_eval_at_server()), ('intrinsic_def_federated_mean', *executor_test_utils.create_dummy_intrinsic_def_federated_mean()), ('intrinsic_def_federated_sum', *executor_test_utils.create_dummy_intrinsic_def_federated_sum()), ('intrinsic_def_federated_reduce', *executor_test_utils.create_dummy_intrinsic_def_federated_reduce()), ('intrinsic_def_federated_value_at_server', *executor_test_utils. create_dummy_intrinsic_def_federated_value_at_server()), ('intrinsic_def_federated_weighted_mean', *executor_test_utils. create_dummy_intrinsic_def_federated_weighted_mean()), ('intrinsic_def_federated_zip_at_server', *executor_test_utils. create_dummy_intrinsic_def_federated_zip_at_server()), ('federated_type_at_server', *executor_test_utils.create_dummy_value_at_server()), ]) # pyformat: enable def test_raises_value_error_with_no_target_executor_server( self, value, type_signature): executor = federating_executor.FederatingExecutor({ placement_literals.CLIENTS: eager_tf_executor.EagerTFExecutor(), None: eager_tf_executor.EagerTFExecutor() }) value, type_signature = executor_test_utils.create_dummy_value_at_server( ) with self.assertRaises(ValueError): self.run_sync(executor.create_value(value, type_signature)) def test_raises_value_error_with_no_target_executor_unplaced(self): executor = federating_executor.FederatingExecutor({ placement_literals.SERVER: eager_tf_executor.EagerTFExecutor(), placement_literals.CLIENTS: eager_tf_executor.EagerTFExecutor(), }) value, type_signature = executor_test_utils.create_dummy_value_unplaced( ) with self.assertRaises(ValueError): self.run_sync(executor.create_value(value, type_signature)) def test_raises_value_error_with_unexpected_federated_type_at_clients( self): executor = create_test_executor() value = [10, 20] type_signature = type_factory.at_clients(tf.int32) with self.assertRaises(ValueError): self.run_sync(executor.create_value(value, type_signature)) def test_raises_value_error_with_unexpected_federated_type_at_clients_all_equal( self): executor = create_test_executor() value = [10] * 3 type_signature = type_factory.at_clients(tf.int32, all_equal=True) with self.assertRaises(ValueError): self.run_sync(executor.create_value(value, type_signature))
class FederatingExecutorCreateCallTest(executor_test_utils.AsyncTestCase, parameterized.TestCase): # pyformat: disable @parameterized.named_parameters([ ('intrinsic_def', *executor_test_utils.create_dummy_intrinsic_def(), *executor_test_utils.create_dummy_computation_tensorflow_constant()), ('computation_impl', *executor_test_utils.create_dummy_computation_impl(), *executor_test_utils.create_dummy_value_unplaced()), ('computation_intrinsic', *executor_test_utils.create_dummy_computation_intrinsic(), *executor_test_utils.create_dummy_computation_tensorflow_constant()), ('computation_tensorflow', *executor_test_utils.create_dummy_computation_tensorflow_identity(), *executor_test_utils.create_dummy_value_unplaced()), ]) # pyformat: enable def test_returns_value_with_comp_and_arg(self, comp, comp_type, arg, arg_type): executor = create_test_executor(num_clients=3) comp = self.run_sync(executor.create_value(comp, comp_type)) arg = self.run_sync(executor.create_value(arg, arg_type)) result = self.run_sync(executor.create_call(comp, arg)) self.assertIsInstance(result, federating_executor.FederatingExecutorValue) self.assertEqual(result.type_signature.compact_representation(), comp_type.result.compact_representation()) # pyformat: disable @parameterized.named_parameters([ ('computation_lambda', *executor_test_utils.create_dummy_computation_lambda_empty()), ('computation_tensorflow', *executor_test_utils.create_dummy_computation_tensorflow_empty()), ]) # pyformat: enable def test_returns_value_with_comp_only(self, comp, comp_type): executor = create_test_executor(num_clients=3) comp = self.run_sync(executor.create_value(comp, comp_type)) result = self.run_sync(executor.create_call(comp)) self.assertIsInstance(result, federating_executor.FederatingExecutorValue) self.assertEqual(result.type_signature.compact_representation(), comp_type.result.compact_representation()) # pyformat: disable @parameterized.named_parameters([ ('intrinsic_def', *executor_test_utils.create_dummy_intrinsic_def()), ('computation_impl', *executor_test_utils.create_dummy_computation_impl()), ('computation_intrinsic', *executor_test_utils.create_dummy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_dummy_computation_lambda_identity()), ('computation_tensorflow', *executor_test_utils.create_dummy_computation_tensorflow_identity()), ]) # pyformat: enable def test_raises_type_error_with_comp_and_bad_arg(self, comp, comp_type): executor = create_test_executor(num_clients=3) bad_arg = 'string' bad_arg_type = computation_types.TensorType(tf.string) comp = self.run_sync(executor.create_value(comp, comp_type)) arg = self.run_sync(executor.create_value(bad_arg, bad_arg_type)) with self.assertRaises(TypeError): self.run_sync(executor.create_call(comp, arg)) def test_raises_type_error_with_unembedded_comp(self): executor = create_test_executor(num_clients=3) comp, _ = executor_test_utils.create_dummy_computation_tensorflow_identity( ) arg, arg_type = executor_test_utils.create_dummy_value_unplaced() arg = self.run_sync(executor.create_value(arg, arg_type)) with self.assertRaises(TypeError): self.run_sync(executor.create_call(comp, arg)) def test_raises_type_error_with_unembedded_arg(self): executor = create_test_executor(num_clients=3) comp, comp_type = executor_test_utils.create_dummy_computation_tensorflow_identity( ) arg, _ = executor_test_utils.create_dummy_value_unplaced() comp = self.run_sync(executor.create_value(comp, comp_type)) with self.assertRaises(TypeError): self.run_sync(executor.create_call(comp, arg)) # pyformat: disable @parameterized.named_parameters([ ('computation_call', *executor_test_utils.create_dummy_computation_call()), ('computation_placement', *executor_test_utils.create_dummy_computation_placement()), ('computation_selection', *executor_test_utils.create_dummy_computation_selection()), ('computation_tuple', *executor_test_utils.create_dummy_computation_tuple()), ('federated_type_clients', *executor_test_utils.create_dummy_value_clients()), ('federated_type_clients_all_equal', *executor_test_utils.create_dummy_value_clients_all_equal()), ('federated_type_server', *executor_test_utils.create_dummy_value_server()), ('unplaced_type', *executor_test_utils.create_dummy_value_unplaced()), ]) # pyformat: enable def test_raises_value_error_with_comp(self, comp, comp_type): executor = create_test_executor(num_clients=3) comp = self.run_sync(executor.create_value(comp, comp_type)) with self.assertRaises(ValueError): self.run_sync(executor.create_call(comp)) def test_raises_value_error_with_computation_lambda_and_arg(self): executor = create_test_executor(num_clients=3) comp, comp_type = executor_test_utils.create_dummy_computation_lambda_identity( ) arg, arg_type = executor_test_utils.create_dummy_value_unplaced() comp = self.run_sync(executor.create_value(comp, comp_type)) arg = self.run_sync(executor.create_value(arg, arg_type)) with self.assertRaises(ValueError): self.run_sync(executor.create_call(comp, arg)) def test_raises_not_implemented_error_with_unimplemented_intrinsic(self): executor = create_test_executor(num_clients=3) dummy_intrinsic = intrinsic_defs.IntrinsicDef( 'DUMMY_INTRINSIC', 'dummy_intrinsic', computation_types.AbstractType('T')) comp = pb.Computation(intrinsic=pb.Intrinsic(uri='dummy_intrinsic'), type=type_serialization.serialize_type(tf.int32)) comp = self.run_sync(executor.create_value(comp)) with self.assertRaises(NotImplementedError): self.run_sync(executor.create_call(comp))