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update optimizers

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iperov 2021-09-29 22:06:46 +04:00
commit c6d0c547b7
2 changed files with 9 additions and 8 deletions
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6
core/leras/optimizers/RMSprop.py
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@ -1,9 +1,10 @@
import numpy as np
from tensorflow.python.ops import control_flow_ops, state_ops
from core.leras import nn
tf = nn.tf
class RMSprop(nn.OptimizerBase):
def __init__(self, lr=0.001, rho=0.9, lr_dropout=1.0, epsilon=1e-7, clipnorm=0.0, name=None, **kwargs):
def __init__(self, lr=0.001, rho=0.9, lr_dropout=1.0, clipnorm=0.0, name=None, **kwargs):
super().__init__(name=name)
if name is None:
@ -12,7 +13,6 @@ class RMSprop(nn.OptimizerBase):
self.lr_dropout = lr_dropout
self.lr = lr
self.rho = rho
self.epsilon = epsilon
self.clipnorm = clipnorm
@ -59,7 +59,7 @@ class RMSprop(nn.OptimizerBase):
lr = tf.constant(self.lr, g.dtype)
v_diff = - lr * g / (tf.sqrt(new_a) + self.epsilon)
v_diff = - lr * g / (tf.sqrt(new_a) + np.finfo( m_t.dtype.as_numpy_dtype ).resolution )
if self.lr_dropout != 1.0:
lr_rnd = self.lr_rnds_dict[v.name]
v_diff *= lr_rnd