{ }
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
tf.raw_ops.SparseApplyFtrl(
var,
accum,
linear,
grad,
indices,
lr,
l1,
l2,
lr_power,
use_locking=False,
multiply_linear_by_lr=False,
name=None
)
That is for rows we have grad for, we update var, accum and linear as follows:
\[accum_new = accum + grad * grad\]
\[linear += grad + (accum_{new}^{-lr_{power} } - accum^{-lr_{power} } / lr * var\]
\[quadratic = 1.0 / (accum_{new}^{lr_{power} } * lr) + 2 * l2\]
\[var = (sign(linear) * l1 - linear) / quadratic\ if\ |linear| > l1\ else\ 0.0\]
\[accum = accum_{new}\]
Returns | |
---|---|
A mutable Tensor . Has the same type as var .
|