"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))
adamax_new_fn = tf.__internal__.test.combinations.NamedObject(
"experimentaladamax", lambda: adamax_new.Adamax(0.002))
adamw_new_fn = tf.__internal__.test.combinations.NamedObject(
"experimentaladamw", lambda: adamw_new.AdamW(0.002, weight_decay=0.004))
ftrl_new_fn = tf.__internal__.test.combinations.NamedObject(
"experimentalftrl", lambda: ftrl_new.Ftrl(0.002))
nadam_new_fn = tf.__internal__.test.combinations.NamedObject(
"experimentnadam", lambda: nadam_new.Nadam(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,
def testFtrl(self):
self._compare_numerical(ftrl_old.Ftrl(), ftrl_new.Ftrl())
"adadelta",
lambda: adadelta.Adadelta( # pylint: disable=g-long-lambda
0.002,
use_ema=True,
ema_overwrite_frequency=None),
)
adagrad_fn = tf.__internal__.test.combinations.NamedObject(
"adagrad", lambda: adagrad.Adagrad(0.002))
adam_fn = tf.__internal__.test.combinations.NamedObject(
"adam", lambda: adam.Adam(0.002))
adamax_fn = tf.__internal__.test.combinations.NamedObject(
"adamax", lambda: adamax.Adamax(0.002))
adamw_fn = tf.__internal__.test.combinations.NamedObject(
"adamw", lambda: adamw.AdamW(0.002, weight_decay=0.004))
ftrl_fn = tf.__internal__.test.combinations.NamedObject(
"ftrl", lambda: ftrl.Ftrl(0.002))
nadam_fn = tf.__internal__.test.combinations.NamedObject(
"experimentnadam", lambda: nadam.Nadam(0.002))
rmsprop_fn = tf.__internal__.test.combinations.NamedObject(
"rmsprop", lambda: rmsprop.RMSprop(0.002))
sgd_fn = tf.__internal__.test.combinations.NamedObject(
"sgdaverage",
lambda: sgd.SGD( # pylint: disable=g-long-lambda
0.002,
use_ema=True,
ema_overwrite_frequency=1),
)
OPTIMIZER_FN = [
adadelta_fn,
adagrad_fn,