Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
RefMerge
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Forwards the value of an available tensor from `inputs` to `output`.
`Merge` waits for at least one of the tensors in `inputs` to become available.
It is usually combined with `Switch` to implement branching.
`Merge` forwards the first tensor for become available to `output`, and sets
`value_index` to its index in `inputs`.
Public Methods
static
<T>
RefMerge<T>
|
create( Scope scope, Iterable< Operand<T>> inputs)
Factory method to create a class wrapping a new RefMerge operation.
|
Output<T>
|
output()
Will be set to the available input tensor.
|
Output<Integer>
|
valueIndex()
The index of the chosen input tensor in `inputs`.
|
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
Public Methods
Factory method to create a class wrapping a new RefMerge operation.
Parameters
scope |
current scope |
inputs |
The input tensors, exactly one of which will become available. |
Returns
- a new instance of RefMerge
public
Output<T>
output
()
Will be set to the available input tensor.
public
Output<Integer>
valueIndex
()
The index of the chosen input tensor in `inputs`.
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Last updated 2022-02-12 UTC.
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