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  /external/tensorflow/tensorflow/contrib/opt/python/training/
lazy_adam_optimizer.py 53 lr_t = math_ops.cast(self._lr_t, var.dtype.base_dtype)
57 lr = (lr_t * math_ops.sqrt(1 - beta2_power) / (1 - beta1_power))
addsign.py 60 variable <- variable - lr_t * update
136 lr_t = math_ops.cast(self._lr_t, var.dtype.base_dtype)
158 lr_t * multiplier.values * grad.values,
nadam_optimizer.py 74 lr_t = math_ops.cast(self._lr_t, var.dtype.base_dtype)
78 lr = (lr_t * math_ops.sqrt(1 - beta2_power) / (1 - beta1_power))
powersign.py 62 variable <- variable - lr_t * update
138 lr_t = math_ops.cast(self._lr_t, var.dtype.base_dtype)
162 lr_t * multiplier.values * grad.values,
  /external/tensorflow/tensorflow/python/training/
adam.py 57 lr_t <- learning_rate * sqrt(1 - beta2^t) / (1 - beta1^t)
61 variable <- variable - lr_t * m_t / (sqrt(v_t) + epsilon)
172 lr_t = math_ops.cast(self._lr_t, var.dtype.base_dtype)
176 lr = (lr_t * math_ops.sqrt(1 - beta2_power) / (1 - beta1_power))
training_ops_test.py 275 lr_t = constant_op.constant(lr, self._toType(var.dtype), [])
283 beta2_power_t, lr_t, beta1_t,
  /external/tensorflow/tensorflow/python/keras/_impl/keras/
optimizers.py 469 lr_t = lr * (
485 p_t = p - lr_t * m_t / (K.sqrt(vhat_t) + self.epsilon)
488 p_t = p - lr_t * m_t / (K.sqrt(v_t) + self.epsilon)
559 lr_t = lr / (1. - K.pow(self.beta_1, t))
572 p_t = p - lr_t * m_t / (u_t + self.epsilon)
  /external/tensorflow/tensorflow/go/op/
wrappers.go     [all...]

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