tf.raw_ops.ResourceApplyProximalGradientDescent | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.ResourceApplyProximalGradientDescent
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Update '*var' as FOBOS algorithm with fixed learning rate.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.ResourceApplyProximalGradientDescent
tf.raw_ops.ResourceApplyProximalGradientDescent(
var, alpha, l1, l2, delta, use_locking=False, name=None
)
prox_v = var - alpha * delta var = sign(prox_v)/(1+alpha*l2) * max{|prox_v|-alpha*l1,0}
| Args | |
|---|---|
| var | A Tensor of type resource. Should be from a Variable(). |
| alpha | A 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. Scaling factor. Must be a scalar. |
| l1 | A Tensor. Must have the same type as alpha. L1 regularization. Must be a scalar. |
| l2 | A Tensor. Must have the same type as alpha. L2 regularization. Must be a scalar. |
| delta | A Tensor. Must have the same type as alpha. The change. |
| use_locking | An optional bool. Defaults to False. If True, the subtraction will be 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. |
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Last updated 2024-04-26 UTC.