public static class
ApproxTopK.Options
Optional attributes for ApproxTopK
Public Methods
| ApproxTopK.Options |
aggregateToTopk(Boolean aggregateToTopk)
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| ApproxTopK.Options |
isMaxK(Boolean isMaxK)
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| ApproxTopK.Options |
recallTarget(Float recallTarget)
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| ApproxTopK.Options |
reductionDimension(Long reductionDimension)
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| ApproxTopK.Options |
reductionInputSizeOverride(Long reductionInputSizeOverride)
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Inherited Methods
Public Methods
public ApproxTopK.Options aggregateToTopk (Boolean aggregateToTopk)
Parameters
| aggregateToTopk | 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`. |
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public ApproxTopK.Options isMaxK (Boolean isMaxK)
Parameters
| isMaxK | When true, computes max-k; otherwise computes min-k. |
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public ApproxTopK.Options recallTarget (Float recallTarget)
Parameters
| recallTarget | Recall target for the approximation. Range in (0,1] |
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public ApproxTopK.Options reductionDimension (Long reductionDimension)
Parameters
| reductionDimension | Integer dimension along which to search. Default: -1. |
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public ApproxTopK.Options reductionInputSizeOverride (Long reductionInputSizeOverride)
Parameters
| reductionInputSizeOverride | 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. |
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