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/external/tensorflow/tensorflow/python/keras/optimizer_v2/
Dlearning_rate_schedule.py662 t_mul=2.0, argument
685 self._t_mul = t_mul
697 t_mul = math_ops.cast(self._t_mul, dtype)
707 math_ops.log(1.0 - completed_fraction * (1.0 - t_mul)) /
708 math_ops.log(t_mul))
710 sum_r = (1.0 - t_mul**i_restart) / (1.0 - t_mul)
711 completed_fraction = (completed_fraction - sum_r) / t_mul**i_restart
720 math_ops.equal(t_mul, 1.0),
Dlearning_rate_schedule_test.py377 def np_cosine_decay_restarts(self, step, decay_steps, t_mul=2.0, m_mul=1.0, argument
382 decay_steps *= t_mul
426 t_mul = 1.0
429 initial_lr, num_training_steps, t_mul=t_mul)
432 step, num_training_steps, t_mul=t_mul)
Dlegacy_learning_rate_decay_test.py354 def np_cosine_decay_restarts(self, step, decay_steps, t_mul=2.0, m_mul=1.0, argument
359 decay_steps *= t_mul
400 t_mul = 1.0
403 initial_lr, step, num_training_steps, t_mul=t_mul)
405 step, num_training_steps, t_mul=t_mul)
Dlegacy_learning_rate_decay.py524 t_mul=2.0, argument
585 t_mul=t_mul,
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.keras.experimental.-cosine-decay-restarts.pbtxt8 …argspec: "args=[\'self\', \'initial_learning_rate\', \'first_decay_steps\', \'t_mul\', \'m_mul\', …
Dtensorflow.keras.optimizers.schedules.-cosine-decay-restarts.pbtxt8 …argspec: "args=[\'self\', \'initial_learning_rate\', \'first_decay_steps\', \'t_mul\', \'m_mul\', …
Dtensorflow.train.pbtxt297 …argspec: "args=[\'learning_rate\', \'global_step\', \'first_decay_steps\', \'t_mul\', \'m_mul\', \…
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.optimizers.schedules.-cosine-decay-restarts.pbtxt8 …argspec: "args=[\'self\', \'initial_learning_rate\', \'first_decay_steps\', \'t_mul\', \'m_mul\', …
Dtensorflow.keras.experimental.-cosine-decay-restarts.pbtxt8 …argspec: "args=[\'self\', \'initial_learning_rate\', \'first_decay_steps\', \'t_mul\', \'m_mul\', …
Dtensorflow.keras.optimizers.schedules.-cosine-decay-restarts.pbtxt8 …argspec: "args=[\'self\', \'initial_learning_rate\', \'first_decay_steps\', \'t_mul\', \'m_mul\', …