tf.raw_ops.ResourceApplyPowerSign
Update '*var' according to the AddSign update.
tf.raw_ops.ResourceApplyPowerSign(
var, m, lr, logbase, sign_decay, beta, grad, use_locking=False, name=None
)
mt <- beta1 * m{t-1} + (1 - beta1) * g update <- exp(logbase * sign_decay * sign(g) * sign(m_t)) * g variable <- variable - lr_t * update
| Args | |
|---|---|
var |
A Tensor of type resource. Should be from a Variable(). |
m |
A Tensor of type resource. Should be from a Variable(). |
lr |
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64. Scaling factor. Must be a scalar. |
logbase |
A Tensor. Must have the same type as lr. Must be a scalar. |
sign_decay |
A Tensor. Must have the same type as lr. Must be a scalar. |
beta |
A Tensor. Must have the same type as lr. Must be a scalar. |
grad |
A Tensor. Must have the same type as lr. The gradient. |
use_locking |
An optional bool. Defaults to False. If True, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
| The created Operation. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/ResourceApplyPowerSign