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,
