Update '*var' according to the Ftrl-proximal scheme.
tf.raw_ops.ApplyFtrlV2(
var,
accum,
linear,
grad,
lr,
l1,
l2,
l2_shrinkage,
lr_power,
use_locking=False,
multiply_linear_by_lr=False,
name=None
)
grad_with_shrinkage = grad + 2 * l2_shrinkage * var
accum_new = accum + grad * grad
linear += grad_with_shrinkage -
(accum_new^(-lr_power) - accum^(-lr_power)) / lr * var
quadratic = 1.0 / (accum_new^(lr_power) * lr) + 2 * l2
var = (sign(linear) * l1 - linear) / quadratic if |linear| > l1 else 0.0
accum = accum_new
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().
|
accum
|
A mutable Tensor . Must have the same type as var .
Should be from a Variable().
|
linear
|
A mutable Tensor . Must have the same type as var .
Should be from a Variable().
|
grad
|
A Tensor . Must have the same type as var . The gradient.
|
lr
|
A Tensor . Must have the same type as var .
Scaling factor. Must be a scalar.
|
l1
|
A Tensor . Must have the same type as var .
L1 regularization. Must be a scalar.
|
l2
|
A Tensor . Must have the same type as var .
L2 shrinkage regularization. Must be a scalar.
|
l2_shrinkage
|
A Tensor . Must have the same type as var .
|
lr_power
|
A Tensor . Must have the same type as var .
Scaling factor. Must be a scalar.
|
use_locking
|
An optional bool . Defaults to False .
If True , updating of the var and accum tensors will be protected
by a lock; otherwise the behavior is undefined, but may exhibit less
contention.
|
multiply_linear_by_lr
|
An optional bool . Defaults to False .
|
name
|
A name for the operation (optional).
|
Returns |
A mutable Tensor . Has the same type as var .
|