Exemple #1
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]

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))
adamw_new_fn = tf.__internal__.test.combinations.NamedObject(
    "experimentaladamw", lambda: adamw_new.AdamW(0.002, weight_decay=0.004))
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,
    adamw_new_fn,
    rmsprop_new_fn,
    sgd_new_fn,
]
Exemple #2
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 def testRMSprop(self):
     self._compare_numerical(rmsprop_new.RMSprop(), rmsprop_old.RMSprop())
        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,
    adam_fn,
    adamax_fn,
    adamw_fn,
    ftrl_fn,