Update '*var' by subtracting 'alpha' * 'delta' from it.
tf.raw_ops.ApplyGradientDescent(
var, alpha, delta, use_locking=False, name=None
)
Args |
|---|
var
|
A mutable Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, 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).
|
Returns |
|---|
A mutable Tensor. Has the same type as var.
|
