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)
The above computation has a replicated input of two replicas.
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