TPUPartitionedInputV2

public final class TPUPartitionedInputV2

An op that groups a list of partitioned inputs together. Supports ND sharding.

Nested Classes

class TPUPartitionedInputV2.Options Optional attributes for TPUPartitionedInputV2  

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of a tensor.
static <T> TPUPartitionedInputV2<T>
create(Scope scope, Iterable<Operand<T>> inputs, List<Long> partitionDims, Options... options)
Factory method to create a class wrapping a new TPUPartitionedInputV2 operation.
static TPUPartitionedInputV2.Options
isPacked(Boolean isPacked)
Output<T>
output()
A handle which represents the full shape of partitioned tensors.

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 TPUPartitionedInputV2<T> create (Scope scope, Iterable<Operand<T>> inputs, List<Long> partitionDims, Options... options)

Factory method to create a class wrapping a new TPUPartitionedInputV2 operation.

Parameters
scope current scope
inputs A list of partitioned inputs which must have the same shape.
partitionDims A list of integers describing how each dimension is partitioned. Emptiness indicates the inputs are replicated.
options carries optional attributes values
Returns
  • a new instance of TPUPartitionedInputV2

public static TPUPartitionedInputV2.Options isPacked (Boolean isPacked)

Parameters
isPacked Indicates whether the input is a packed resource.

public Output<T> output ()

A handle which represents the full shape of partitioned tensors.