tf.raw_ops.ApplyAddSign | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.ApplyAddSign
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Update '*var' according to the AddSign update.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.ApplyAddSign
tf.raw_ops.ApplyAddSign(
var, m, lr, alpha, sign_decay, beta, grad, use_locking=False, name=None
)
m_t <- beta1 * m_{t-1} + (1 - beta1) * g update <- (alpha + sign_decay * sign(g) *sign(m)) * g variable <- variable - lr_t * update
| Args | |
|---|---|
| var | A mutable Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, qint16, quint16, uint16, complex128, half, uint32, uint64. Should be from a Variable(). |
| m | A mutable Tensor. Must have the same type as var. Should be from a Variable(). |
| lr | A Tensor. Must have the same type as var. Scaling factor. Must be a scalar. |
| alpha | A Tensor. Must have the same type as var. Must be a scalar. |
| sign_decay | A Tensor. Must have the same type as var. Must be a scalar. |
| beta | A Tensor. Must have the same type as var. Must be a scalar. |
| grad | A Tensor. Must have the same type as var. 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 |
|---|
| A mutable Tensor. Has the same type as var. |
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Last updated 2024-04-26 UTC.