Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

TPUPartitionedInput

public final class TPUPartitionedInput

An op that groups a list of partitioned inputs together. This op

Nested Classes

class TPUPartitionedInput.Options Optional attributes for TPUPartitionedInput

Public Methods

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

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 TPUPartitionedInput <T> create ( Scope scope, Iterable< Operand <T>> inputs, Options... options)

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

Parameters
scope current scope
inputs A list of partitioned inputs which must have the same shape.
options carries optional attributes values
Returns
  • a new instance of TPUPartitionedInput

public Output <T> output ()

A handle which represents the full shape of partitioned tensors.

public static TPUPartitionedInput.Options partitionDim (Long partitionDim)

Parameters
partitionDim An integer describles which dimension is partitioned. -1 means those inputs are replicated.