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 | ReplicatedInput.Options | Optional attributes for ReplicatedInput
|
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
|
static <T extends TType> ReplicatedInput<T> |
create(Scope scope, Iterable<Operand<T>> inputs, Options... options)
Factory method to create a class wrapping a new ReplicatedInput operation.
|
static ReplicatedInput.Options |
index(Long index)
|
static ReplicatedInput.Options |
isMirroredVariable(Boolean isMirroredVariable)
|
static ReplicatedInput.Options |
isPacked(Boolean isPacked)
|
Output<T> |
output()
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the 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 ReplicatedInput<T> create (Scope scope, Iterable<Operand<T>> inputs, Options... options)
Factory method to create a class wrapping a new ReplicatedInput operation.
Parameters
scope | current scope |
---|---|
options | carries optional attributes values |
Returns
- a new instance of ReplicatedInput