def testAdagrad(self): self._compare_numerical(adagrad_old.Adagrad(), adagrad_new.Adagrad())
ds_combinations.one_device_strategy, ds_combinations.mirrored_strategy_with_cpu_1_and_2, ds_combinations.mirrored_strategy_with_two_gpus, ds_combinations.tpu_strategy, ds_combinations.cloud_tpu_strategy, ds_combinations.multi_worker_mirrored_2x1_cpu, ds_combinations.multi_worker_mirrored_2x2_gpu, ds_combinations.central_storage_strategy_with_two_gpus, ] adadelta_new_fn = tf.__internal__.test.combinations.NamedObject( "experimentaladadelta", lambda: adadelta_new.Adadelta( # pylint: disable=g-long-lambda 0.002, use_ema=True, ema_overwrite_frequency=None)) adagrad_new_fn = tf.__internal__.test.combinations.NamedObject( "experimentaladagrad", lambda: adagrad_new.Adagrad(0.002)) adam_new_fn = tf.__internal__.test.combinations.NamedObject( "experimentaladam", lambda: adam_new.Adam(0.002)) rmsprop_new_fn = tf.__internal__.test.combinations.NamedObject( "experimentalrmsprop", lambda: rmsprop_new.RMSprop(0.002)) sgd_new_fn = tf.__internal__.test.combinations.NamedObject( "experimentalsgdaverage", lambda: sgd_new.SGD( # pylint: disable=g-long-lambda 0.002, use_ema=True, ema_overwrite_frequency=1)) OPTIMIZER_FN = [ adadelta_new_fn, adagrad_new_fn, adam_new_fn, rmsprop_new_fn, sgd_new_fn,