tensorflow::ops::ApproxTopK::Attrs

#include <nn_ops.h>

Optional attribute setters for ApproxTopK.

Summary

Public attributes
`aggregate_to_topk_ = true`	`bool`
`is_max_k_ = true`	`bool`
`recall_target_ = 0.95f`	`float`
`reduction_dimension_ = -1`	`int64`
`reduction_input_size_override_ = -1`	`int64`

Public functions
`AggregateToTopk(bool x)`	`TF_MUST_USE_RESULT Attrs` When true, aggregates approximate results to top-k.
`IsMaxK(bool x)`	`TF_MUST_USE_RESULT Attrs` When true, computes max-k; otherwise computes min-k.
`RecallTarget(float x)`	`TF_MUST_USE_RESULT Attrs` Recall target for the approximation.
`ReductionDimension(int64 x)`	`TF_MUST_USE_RESULT Attrs` Integer dimension along which to search.
`ReductionInputSizeOverride(int64 x)`	`TF_MUST_USE_RESULT Attrs` When set to a positive value, it overrides the size determined by `input[reduction_dim]` for evaluating the recall.

Public attributes

aggregate_to_topk_

bool tensorflow::ops::ApproxTopK::Attrs::aggregate_to_topk_ = true

is_max_k_

bool tensorflow::ops::ApproxTopK::Attrs::is_max_k_ = true

recall_target_

float tensorflow::ops::ApproxTopK::Attrs::recall_target_ = 0.95f

reduction_dimension_

int64 tensorflow::ops::ApproxTopK::Attrs::reduction_dimension_ = -1

reduction_input_size_override_

int64 tensorflow::ops::ApproxTopK::Attrs::reduction_input_size_override_ = -1

Public functions

AggregateToTopk

TF_MUST_USE_RESULT Attrs tensorflow::ops::ApproxTopK::Attrs::AggregateToTopk(  bool x )

When true, aggregates approximate results to top-k.

When false, returns the approximate results. The number of the approximate results is implementation defined and is greater equals to the specified k.

Defaults to true

IsMaxK

TF_MUST_USE_RESULT Attrs tensorflow::ops::ApproxTopK::Attrs::IsMaxK( bool x )

When true, computes max-k; otherwise computes min-k.

Defaults to true

RecallTarget

TF_MUST_USE_RESULT Attrs tensorflow::ops::ApproxTopK::Attrs::RecallTarget( float x )

Recall target for the approximation.

Range in (0,1]

Defaults to 0.95

ReductionDimension

TF_MUST_USE_RESULT Attrs tensorflow::ops::ApproxTopK::Attrs::ReductionDimension( int64 x )

Integer dimension along which to search.

Default: -1.

Defaults to -1

ReductionInputSizeOverride

TF_MUST_USE_RESULT Attrs tensorflow::ops::ApproxTopK::Attrs::ReductionInputSizeOverride( int64 x )

When set to a positive value, it overrides the size determined by input[reduction_dim] for evaluating the recall.

This option is useful when the given input is only a subset of the overall computation in SPMD or distributed pipelines, where the true input size cannot be deferred by the input shape.

Defaults to -1