Modifier and Type | Class and Description |
---|---|
static class |
ApplyGradientDescent.Options
Optional attributes for
ApplyGradientDescent |
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T> ApplyGradientDescent<T> |
create(Scope scope,
Operand<T> var,
Operand<T> alpha,
Operand<T> delta,
ApplyGradientDescent.Options... options)
Factory method to create a class wrapping a new ApplyGradientDescent operation.
|
Output<T> |
out()
Same as "var".
|
static ApplyGradientDescent.Options |
useLocking(Boolean useLocking) |
equals, hashCode, op, toString
public static <T> ApplyGradientDescent<T> create(Scope scope, Operand<T> var, Operand<T> alpha, Operand<T> delta, ApplyGradientDescent.Options... options)
scope
- current scopevar
- Should be from a Variable().alpha
- Scaling factor. Must be a scalar.delta
- The change.options
- carries optional attributes valuespublic static ApplyGradientDescent.Options useLocking(Boolean useLocking)
useLocking
- If `True`, the subtraction will be protected by a lock;
otherwise the behavior is undefined, but may exhibit less contention.public Output<T> asOutput()
Operand
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput
in interface Operand<T>
OperationBuilder.addInput(Output)
Copyright © 2022. All rights reserved.