tf.raw_ops.ApplyGradientDescent

Update '*var' by subtracting 'alpha' * 'delta' from it.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.ApplyGradientDescent

 
tf.raw_ops.ApplyGradientDescent(
    var, alpha, delta, use_locking=False, name=None
)

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().
alpha A Tensor. Must have the same type as var. Scaling factor. Must be a scalar.
delta A Tensor. Must have the same type as var. 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).

A mutable Tensor. Has the same type as var.