Modifier and Type | Class and Description |
---|---|
static class |
ApplyAdagrad.Options
Optional attributes for
ApplyAdagrad |
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T> ApplyAdagrad<T> |
create(Scope scope,
Operand<T> var,
Operand<T> accum,
Operand<T> lr,
Operand<T> grad,
ApplyAdagrad.Options... options)
Factory method to create a class wrapping a new ApplyAdagrad operation.
|
Output<T> |
out()
Same as "var".
|
static ApplyAdagrad.Options |
updateSlots(Boolean updateSlots) |
static ApplyAdagrad.Options |
useLocking(Boolean useLocking) |
equals, hashCode, op, toString
public static <T> ApplyAdagrad<T> create(Scope scope, Operand<T> var, Operand<T> accum, Operand<T> lr, Operand<T> grad, ApplyAdagrad.Options... options)
scope
- current scopevar
- Should be from a Variable().accum
- Should be from a Variable().lr
- Scaling factor. Must be a scalar.grad
- The gradient.options
- carries optional attributes valuespublic static ApplyAdagrad.Options useLocking(Boolean useLocking)
useLocking
- If `True`, updating of the var and accum tensors will be protected
by a lock; otherwise the behavior is undefined, but may exhibit less
contention.public static ApplyAdagrad.Options updateSlots(Boolean updateSlots)
updateSlots
- 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.