def test_raises_type_error_with_unembedded_elements(self): executor = create_test_executor() element, _ = executor_test_utils.create_whimsy_value_unplaced() elements = [element] * 3 with self.assertRaises(TypeError): self.run_sync(executor.create_struct(elements))
def test_raises_type_error_with_not_tuple_type(self): executor = create_test_executor() element, element_type = executor_test_utils.create_whimsy_value_unplaced() source = self.run_sync(executor.create_value(element, element_type)) with self.assertRaises(TypeError): self.run_sync(executor.create_selection(source, 0))
def test_raises_type_error_with_unplaced_type(self, executor, num_clients): del num_clients # Unused. value, type_signature = executor_test_utils.create_whimsy_value_unplaced() value = self.run_sync(executor.create_value(value, type_signature)) with self.assertRaises(TypeError): self.run_sync( executor_utils.compute_intrinsic_federated_broadcast(executor, value))
def test_raises_type_error_with_unembedded_arg(self): executor = create_test_executor() comp, comp_type = executor_test_utils.create_whimsy_computation_tensorflow_identity( ) arg, _ = executor_test_utils.create_whimsy_value_unplaced() comp = self.run_sync(executor.create_value(comp, comp_type)) with self.assertRaises(TypeError): self.run_sync(executor.create_call(comp, arg))
def test_returns_value_with_unplaced_type_and_server(self, executor): value, type_signature = executor_test_utils.create_whimsy_value_unplaced() value = self.run_sync(executor.create_value(value, type_signature)) result = self.run_sync( executor_utils.compute_intrinsic_federated_value( executor, value, placements.SERVER)) self.assertIsInstance(result, executor_value_base.ExecutorValue) expected_type = computation_types.at_server(type_signature) self.assertEqual(result.type_signature.compact_representation(), expected_type.compact_representation()) actual_result = self.run_sync(result.compute()) self.assertEqual(actual_result, 10.0)
def test_returns_value_with_source_and_index_structure(self): executor = create_test_executor() element, element_type = executor_test_utils.create_whimsy_value_unplaced() element = self.run_sync(executor.create_value(element, element_type)) elements = [element] * 3 type_signature = computation_types.StructType([element_type] * 3) source = self.run_sync(executor.create_struct(elements)) result = self.run_sync(executor.create_selection(source, 0)) self.assertIsInstance(result, executor_value_base.ExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature[0].compact_representation()) actual_result = self.run_sync(result.compute()) expected_result = self.run_sync(source.compute())[0] self.assertEqual(actual_result, expected_result)
def test_returns_value_with_source_and_name_structure(self): executor = create_test_executor() element, element_type = executor_test_utils.create_whimsy_value_unplaced() names = ['a', 'b', 'c'] element = self.run_sync(executor.create_value(element, element_type)) elements = structure.Struct((n, element) for n in names) type_signature = computation_types.StructType( (n, element_type) for n in names) source = self.run_sync(executor.create_struct(elements)) result = self.run_sync(executor.create_selection(source, 0)) self.assertIsInstance(result, executor_value_base.ExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature['a'].compact_representation()) actual_result = self.run_sync(result.compute()) expected_result = self.run_sync(source.compute())['a'] self.assertEqual(actual_result, expected_result)
class ComputeIntrinsicFederatedWeightedMeanTest( executor_test_utils.AsyncTestCase, parameterized.TestCase): # pyformat: disable @parameterized.named_parameters([ ('default_strategy_3_clients', create_test_federated_stack(3), 3), ('default_strategy_10_clients', create_test_federated_stack(10), 10), ('aggregated_stack_9_clients', create_test_aggregated_stack( clients_per_stack=3, stacks_per_layer=3, num_layers=1), 9), ('aggregated_stack_27_clients', create_test_aggregated_stack( clients_per_stack=3, stacks_per_layer=3, num_layers=3), 27), ]) # pyformat: enable def test_computes_weighted_mean( self, executor, num_clients, ): value, type_signature = executor_test_utils.create_whimsy_value_at_clients( num_clients) # Weighted mean computed in Python expected_result = sum([x**2 for x in value]) / sum(value) value = self.run_sync(executor.create_value(value, type_signature)) arg = self.run_sync(executor.create_struct([value, value])) result = self.run_sync( executor_utils.compute_intrinsic_federated_weighted_mean(executor, arg)) self.assertIsInstance(result, executor_value_base.ExecutorValue) expected_type = computation_types.at_server(type_signature.member) self.assertEqual(result.type_signature.compact_representation(), expected_type.compact_representation()) actual_result = self.run_sync(result.compute()) self.assertEqual(actual_result, expected_result) # pyformat: disable @parameterized.named_parameters([ ('default_strategy_unplaced_type', create_test_federated_stack(), executor_test_utils.create_whimsy_value_unplaced()), ('composing_strategy_unplaced_type', create_test_aggregated_stack(), executor_test_utils.create_whimsy_value_unplaced()), ('default_strategy_server_placement', create_test_federated_stack(), executor_test_utils.create_whimsy_value_at_server()), ('composing_strategy_server_placement', create_test_aggregated_stack(), executor_test_utils.create_whimsy_value_at_server()), ]) # pyformat: enable def test_raises_type_error(self, executor, value_and_type_signature): value, type_signature = value_and_type_signature value = self.run_sync(executor.create_value(value, type_signature)) arg = self.run_sync(executor.create_struct([value, value])) with self.assertRaises(TypeError): self.run_sync( executor_utils.compute_intrinsic_federated_weighted_mean( executor, arg)) # pyformat: disable @parameterized.named_parameters([ ('federated_stack', create_test_federated_stack(), 3), ('composing_strategy', create_test_aggregated_stack(), 27), ]) # pyformat: enable def test_raises_type_error_with_singleton_tuple( self, executor, num_clients, ): value, type_signature = executor_test_utils.create_whimsy_value_at_clients( num_clients) value = self.run_sync(executor.create_value(value, type_signature)) arg = self.run_sync(executor.create_struct([value])) with self.assertRaises(TypeError): self.run_sync( executor_utils.compute_intrinsic_federated_weighted_mean( executor, arg))
class FederatingExecutorCreateValueTest(executor_test_utils.AsyncTestCase, parameterized.TestCase): # pyformat: disable @parameterized.named_parameters([ ('placement_literal', *executor_test_utils.create_whimsy_placement_literal()), ('computation_intrinsic', *executor_test_utils.create_whimsy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_whimsy_computation_lambda_empty()), ('computation_tensorflow', *executor_test_utils.create_whimsy_computation_tensorflow_empty()), ('federated_type_at_clients', *executor_test_utils.create_whimsy_value_at_clients()), ('federated_type_at_clients_all_equal', *executor_test_utils.create_whimsy_value_at_clients_all_equal()), ('federated_type_at_server', *executor_test_utils.create_whimsy_value_at_server()), ('unplaced_type', *executor_test_utils.create_whimsy_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, executor_value_base.ExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) # pyformat: disable @parameterized.named_parameters([ ('placement_literal', *executor_test_utils.create_whimsy_placement_literal()), ('computation_intrinsic', *executor_test_utils.create_whimsy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_whimsy_computation_lambda_empty()), ('computation_tensorflow', *executor_test_utils.create_whimsy_computation_tensorflow_empty()), ]) # 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, executor_value_base.ExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) # pyformat: disable @parameterized.named_parameters([ ('computation_intrinsic', *executor_test_utils.create_whimsy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_whimsy_computation_lambda_empty()), ('computation_tensorflow', *executor_test_utils.create_whimsy_computation_tensorflow_empty()), ]) # pyformat: enable def test_returns_value_with_computation_impl(self, proto, type_signature): executor = create_test_executor() value = computation_impl.ConcreteComputation( proto, context_stack_impl.context_stack) result = self.run_sync(executor.create_value(value, type_signature)) self.assertIsInstance(result, executor_value_base.ExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) # pyformat: disable @parameterized.named_parameters([ ('federated_type_at_clients', *executor_test_utils.create_whimsy_value_at_clients()), ('federated_type_at_clients_all_equal', *executor_test_utils.create_whimsy_value_at_clients_all_equal()), ('federated_type_at_server', *executor_test_utils.create_whimsy_value_at_server()), ('unplaced_type', *executor_test_utils.create_whimsy_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_whimsy_placement_literal()), ('computation_call', *executor_test_utils.create_whimsy_computation_call()), ('computation_intrinsic', *executor_test_utils.create_whimsy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_whimsy_computation_lambda_empty()), ('computation_selection', *executor_test_utils.create_whimsy_computation_selection()), ('computation_tensorflow', *executor_test_utils.create_whimsy_computation_tensorflow_empty()), ('computation_tuple', *executor_test_utils.create_whimsy_computation_tuple()), ('federated_type_at_clients', *executor_test_utils.create_whimsy_value_at_clients()), ('federated_type_at_clients_all_equal', *executor_test_utils.create_whimsy_value_at_clients_all_equal()), ('federated_type_at_server', *executor_test_utils.create_whimsy_value_at_server()), ('unplaced_type', *executor_test_utils.create_whimsy_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_whimsy_computation_call()), ('computation_placement', *executor_test_utils.create_whimsy_computation_placement()), ('computation_reference', *executor_test_utils.create_whimsy_computation_reference()), ('computation_selection', *executor_test_utils.create_whimsy_computation_selection()), ('computation_tuple', *executor_test_utils.create_whimsy_computation_tuple()), ]) # 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() type_signature = computation_types.TensorType(tf.int32) # A `ValueError` will be raised because `create_value` can not recognize the # following intrinsic, because it has not been added to the intrinsic # registry. type_signature = computation_types.TensorType(tf.int32) value = pb.Computation( type=type_serialization.serialize_type(type_signature), intrinsic=pb.Intrinsic(uri='unregistered_intrinsic')) 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_whimsy_computation_tuple() type_signature = computation_types.StructType([]) # 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_aggregate', *executor_test_utils.create_whimsy_intrinsic_def_federated_aggregate()), ('intrinsic_def_federated_apply', *executor_test_utils.create_whimsy_intrinsic_def_federated_apply()), ('intrinsic_def_federated_eval_at_server', *executor_test_utils.create_whimsy_intrinsic_def_federated_eval_at_server()), ('intrinsic_def_federated_mean', *executor_test_utils.create_whimsy_intrinsic_def_federated_mean()), ('intrinsic_def_federated_sum', *executor_test_utils.create_whimsy_intrinsic_def_federated_sum()), ('intrinsic_def_federated_value_at_server', *executor_test_utils.create_whimsy_intrinsic_def_federated_value_at_server()), ('intrinsic_def_federated_weighted_mean', *executor_test_utils.create_whimsy_intrinsic_def_federated_weighted_mean()), ('intrinsic_def_federated_zip_at_server', *executor_test_utils.create_whimsy_intrinsic_def_federated_zip_at_server()), ('federated_type_at_server', *executor_test_utils.create_whimsy_value_at_server()), ]) # pyformat: enable def test_raises_value_error_with_no_target_executor_server( self, value, type_signature): factory = federated_resolving_strategy.FederatedResolvingStrategy.factory({ placements.CLIENTS: eager_tf_executor.EagerTFExecutor(), }) executor = federating_executor.FederatingExecutor( factory, eager_tf_executor.EagerTFExecutor()) value, type_signature = executor_test_utils.create_whimsy_value_at_server() 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 = computation_types.at_clients(tf.int32) with self.assertRaises(executors_errors.CardinalityError): self.run_sync(executor.create_value(value, type_signature)) def test_raises_type_error_with_unexpected_federated_type_at_clients_all_equal( self): executor = create_test_executor() value = [10] * 3 type_signature = computation_types.at_clients(tf.int32, all_equal=True) with self.assertRaises(TypeError): self.run_sync(executor.create_value(value, type_signature))
class FederatingExecutorCreateStructTest(executor_test_utils.AsyncTestCase, parameterized.TestCase): # pyformat: disable @parameterized.named_parameters([ ('federated_type_at_clients', *executor_test_utils.create_whimsy_value_at_clients()), ('federated_type_at_clients_all_equal', *executor_test_utils.create_whimsy_value_at_clients_all_equal()), ('federated_type_at_server', *executor_test_utils.create_whimsy_value_at_server()), ('unplaced_type', *executor_test_utils.create_whimsy_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.StructType([type_signature] * 3) result = self.run_sync(executor.create_struct(elements)) self.assertIsInstance(result, executor_value_base.ExecutorValue) 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_returns_value_with_elements_value_placement_literal(self): executor = create_test_executor() value, type_signature = executor_test_utils.create_whimsy_placement_literal( ) element = self.run_sync(executor.create_value(value, type_signature)) elements = [element] * 3 type_signature = computation_types.StructType([type_signature] * 3) result = self.run_sync(executor.create_struct(elements)) self.assertIsInstance(result, executor_value_base.ExecutorValue) self.assertEqual(result.type_signature.compact_representation(), type_signature.compact_representation()) # pyformat: disable @parameterized.named_parameters([ ('intrinsic_def_federated_eval_at_server', *executor_test_utils.create_whimsy_intrinsic_def_federated_eval_at_server(), *executor_test_utils.create_whimsy_computation_tensorflow_constant()), ('computation_intrinsic', *executor_test_utils.create_whimsy_computation_intrinsic(), *executor_test_utils.create_whimsy_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.StructType([fn_type.result] * 3) result = self.run_sync(executor.create_struct(elements)) self.assertIsInstance(result, executor_value_base.ExecutorValue) 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_whimsy_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.StructType([fn_type.result] * 3) result = self.run_sync(executor.create_struct(elements)) self.assertIsInstance(result, executor_value_base.ExecutorValue) 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_whimsy_value_unplaced() elements = [element] * 3 with self.assertRaises(TypeError): self.run_sync(executor.create_struct(elements))
class FederatingExecutorCreateCallTest(executor_test_utils.AsyncTestCase, parameterized.TestCase): # pyformat: disable @parameterized.named_parameters([ ('intrinsic_def_federated_aggregate', *executor_test_utils.create_whimsy_intrinsic_def_federated_aggregate(), [executor_test_utils.create_whimsy_value_at_clients(), executor_test_utils.create_whimsy_value_unplaced(), executor_test_utils.create_whimsy_computation_tensorflow_add(), executor_test_utils.create_whimsy_computation_tensorflow_add(), executor_test_utils.create_whimsy_computation_tensorflow_identity()], 43.0), ('intrinsic_def_federated_apply', *executor_test_utils.create_whimsy_intrinsic_def_federated_apply(), [executor_test_utils.create_whimsy_computation_tensorflow_identity(), executor_test_utils.create_whimsy_value_at_server()], 10.0), ('intrinsic_def_federated_broadcast', *executor_test_utils.create_whimsy_intrinsic_def_federated_broadcast(), [executor_test_utils.create_whimsy_value_at_server()], 10.0), ('intrinsic_def_federated_eval_at_clients', *executor_test_utils.create_whimsy_intrinsic_def_federated_eval_at_clients(), [executor_test_utils.create_whimsy_computation_tensorflow_constant()], [10.0] * 3), ('intrinsic_def_federated_eval_at_server', *executor_test_utils.create_whimsy_intrinsic_def_federated_eval_at_server(), [executor_test_utils.create_whimsy_computation_tensorflow_constant()], 10.0), ('intrinsic_def_federated_map', *executor_test_utils.create_whimsy_intrinsic_def_federated_map(), [executor_test_utils.create_whimsy_computation_tensorflow_identity(), executor_test_utils.create_whimsy_value_at_clients()], [10.0, 11.0, 12.0]), ('intrinsic_def_federated_map_all_equal', *executor_test_utils.create_whimsy_intrinsic_def_federated_map_all_equal(), [executor_test_utils.create_whimsy_computation_tensorflow_identity(), executor_test_utils.create_whimsy_value_at_clients_all_equal()], 10.0), ('intrinsic_def_federated_mean', *executor_test_utils.create_whimsy_intrinsic_def_federated_mean(), [executor_test_utils.create_whimsy_value_at_clients()], 11.0), ('intrinsic_def_federated_select', *executor_test_utils.create_whimsy_intrinsic_def_federated_select(), executor_test_utils.create_whimsy_federated_select_args(), executor_test_utils.create_whimsy_federated_select_expected_result(), ), ('intrinsic_def_federated_sum', *executor_test_utils.create_whimsy_intrinsic_def_federated_sum(), [executor_test_utils.create_whimsy_value_at_clients()], 33.0), ('intrinsic_def_federated_value_at_clients', *executor_test_utils.create_whimsy_intrinsic_def_federated_value_at_clients(), [executor_test_utils.create_whimsy_value_unplaced()], 10.0), ('intrinsic_def_federated_value_at_server', *executor_test_utils.create_whimsy_intrinsic_def_federated_value_at_server(), [executor_test_utils.create_whimsy_value_unplaced()], 10.0), ('intrinsic_def_federated_weighted_mean', *executor_test_utils.create_whimsy_intrinsic_def_federated_weighted_mean(), [executor_test_utils.create_whimsy_value_at_clients(), executor_test_utils.create_whimsy_value_at_clients()], 11.060606), ('intrinsic_def_federated_zip_at_clients', *executor_test_utils.create_whimsy_intrinsic_def_federated_zip_at_clients(), [executor_test_utils.create_whimsy_value_at_clients(), executor_test_utils.create_whimsy_value_at_clients()], [structure.Struct([(None, 10.0), (None, 10.0)]), structure.Struct([(None, 11.0), (None, 11.0)]), structure.Struct([(None, 12.0), (None, 12.0)])]), ('intrinsic_def_federated_zip_at_server', *executor_test_utils.create_whimsy_intrinsic_def_federated_zip_at_server(), [executor_test_utils.create_whimsy_value_at_server(), executor_test_utils.create_whimsy_value_at_server()], structure.Struct([(None, 10.0), (None, 10.0)])), ('computation_intrinsic', *executor_test_utils.create_whimsy_computation_intrinsic(), [executor_test_utils.create_whimsy_computation_tensorflow_constant()], 10.0), ('computation_tensorflow', *executor_test_utils.create_whimsy_computation_tensorflow_identity(), [executor_test_utils.create_whimsy_value_unplaced()], 10.0), ]) # pyformat: enable def test_returns_value_with_comp_and_arg(self, comp, comp_type, args, expected_result): executor = create_test_executor() comp = self.run_sync(executor.create_value(comp, comp_type)) elements = [self.run_sync(executor.create_value(*x)) for x in args] if len(elements) > 1: arg = self.run_sync(executor.create_struct(elements)) else: arg = elements[0] result = self.run_sync(executor.create_call(comp, arg)) self.assertIsInstance(result, executor_value_base.ExecutorValue) self.assertEqual(result.type_signature.compact_representation(), comp_type.result.compact_representation()) actual_result = self.run_sync(result.compute()) self.assert_maybe_list_equal(actual_result, expected_result) def assert_maybe_list_equal(self, actual_result, expected_result): if (all_isinstance([actual_result, expected_result], list) or all_isinstance([actual_result, expected_result], tf.data.Dataset)): for actual_element, expected_element in zip(actual_result, expected_result): self.assert_maybe_list_equal(actual_element, expected_element) else: self.assertEqual(actual_result, expected_result) def test_returns_value_with_intrinsic_def_federated_eval_at_clients_and_random( self): executor = create_test_executor(number_of_clients=3) comp, comp_type = executor_test_utils.create_whimsy_intrinsic_def_federated_eval_at_clients( ) arg, arg_type = executor_test_utils.create_whimsy_computation_tensorflow_random( ) 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, executor_value_base.ExecutorValue) self.assertEqual(result.type_signature.compact_representation(), comp_type.result.compact_representation()) actual_result = self.run_sync(result.compute()) unique_results = set([x.numpy() for x in actual_result]) if len(actual_result) != len(unique_results): self.fail( 'Expected the result to contain different random numbers, found {}.' .format(actual_result)) # pyformat: disable @parameterized.named_parameters([ ('computation_tensorflow', *executor_test_utils.create_whimsy_computation_tensorflow_empty()), ]) # pyformat: enable def test_returns_value_with_comp_only(self, comp, comp_type): executor = create_test_executor() comp = self.run_sync(executor.create_value(comp, comp_type)) result = self.run_sync(executor.create_call(comp)) self.assertIsInstance(result, executor_value_base.ExecutorValue) self.assertEqual(result.type_signature.compact_representation(), comp_type.result.compact_representation()) actual_result = self.run_sync(result.compute()) expected_result = [] self.assertCountEqual(actual_result, expected_result) def test_raises_type_error_with_unembedded_comp(self): executor = create_test_executor() comp, _ = executor_test_utils.create_whimsy_computation_tensorflow_identity( ) arg, arg_type = executor_test_utils.create_whimsy_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() comp, comp_type = executor_test_utils.create_whimsy_computation_tensorflow_identity( ) arg, _ = executor_test_utils.create_whimsy_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_intrinsic', *executor_test_utils.create_whimsy_computation_intrinsic()), ('computation_lambda', *executor_test_utils.create_whimsy_computation_lambda_identity()), ('computation_tensorflow', *executor_test_utils.create_whimsy_computation_tensorflow_identity()), ] + get_named_parameters_for_supported_intrinsics()) # pyformat: enable def test_raises_type_error_with_comp_and_bad_arg(self, comp, comp_type): executor = create_test_executor() 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)) # pyformat: disable @parameterized.named_parameters([ ('computation_lambda', *executor_test_utils.create_whimsy_computation_lambda_empty()), ('federated_type_at_clients', *executor_test_utils.create_whimsy_value_at_clients()), ('federated_type_at_clients_all_equal', *executor_test_utils.create_whimsy_value_at_clients_all_equal()), ('federated_type_at_server', *executor_test_utils.create_whimsy_value_at_server()), ('unplaced_type', *executor_test_utils.create_whimsy_value_unplaced()), ]) # pyformat: enable def test_raises_value_error_with_comp(self, comp, comp_type): executor = create_test_executor() comp = self.run_sync(executor.create_value(comp, comp_type)) with self.assertRaises(ValueError): self.run_sync(executor.create_call(comp)) def test_raises_not_implemented_error_with_intrinsic_def_federated_secure_sum_bitwidth( self): executor = create_test_executor() comp, comp_type = executor_test_utils.create_whimsy_intrinsic_def_federated_secure_sum_bitwidth( ) arg_1 = [10, 11, 12] arg_1_type = computation_types.at_clients(tf.int32, all_equal=False) arg_2 = 10 arg_2_type = computation_types.TensorType(tf.int32) comp = self.run_sync(executor.create_value(comp, comp_type)) arg_1 = self.run_sync(executor.create_value(arg_1, arg_1_type)) arg_2 = self.run_sync(executor.create_value(arg_2, arg_2_type)) args = self.run_sync(executor.create_struct([arg_1, arg_2])) with self.assertRaises(NotImplementedError): self.run_sync(executor.create_call(comp, args)) def test_raises_not_implemented_error_with_unimplemented_intrinsic(self): executor = create_test_executor() # `whimsy_intrinsic` definition is needed to allow lookup. whimsy_intrinsic = intrinsic_defs.IntrinsicDef( 'WHIMSY_INTRINSIC', 'whimsy_intrinsic', computation_types.AbstractType('T')) type_signature = computation_types.TensorType(tf.int32) comp = pb.Computation( intrinsic=pb.Intrinsic(uri='whimsy_intrinsic'), type=type_serialization.serialize_type(type_signature)) del whimsy_intrinsic comp = self.run_sync(executor.create_value(comp)) with self.assertRaises(NotImplementedError): self.run_sync(executor.create_call(comp))