public final class
TPUReplicatedInput
Connects N inputs to an N-way replicated TPU computation.
This operation holds a replicated input to a `tpu.replicate()` computation subgraph. Each replicated input has the same shape and type alongside the output.
For example:
%a = "tf.opA"()
%b = "tf.opB"()
%replicated_input = "tf.TPUReplicatedInput"(%a, %b)
%computation = "tf.Computation"(%replicated_input)
Nested Classes
| class | TPUReplicatedInput.Options | Optional attributes for TPUReplicatedInput
|
|
Public Methods
| Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
| static <T> TPUReplicatedInput<T> |
create(Scope scope, Iterable<Operand<T>> inputs, Options... options)
Factory method to create a class wrapping a new TPUReplicatedInput operation.
|
| static TPUReplicatedInput.Options |
index(Long index)
|
| static TPUReplicatedInput.Options |
isMirroredVariable(Boolean isMirroredVariable)
|
| static TPUReplicatedInput.Options |
isPacked(Boolean isPacked)
|
| Output<T> |
output()
|
Inherited Methods
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of a tensor.
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.
public static TPUReplicatedInput<T> create (Scope scope, Iterable<Operand<T>> inputs, Options... options)
Factory method to create a class wrapping a new TPUReplicatedInput operation.
Parameters
| scope | current scope |
|---|---|
| options | carries optional attributes values |
Returns
- a new instance of TPUReplicatedInput