CustomValidationConfig.AccuracyValidator
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Defines custom accuracy validation rule.
Public Methods
public abstract boolean
validate (BenchmarkResult
benchmarkResult, ByteBuffer[]
goldenOutput)
Returns whether the benchmarkResult meets accuracy requirement.
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Last updated 2024-10-31 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-10-31 UTC."],[[["Defines a custom accuracy validation rule for TensorFlow Lite acceleration."],["Provides a single method, `validate`, to check if benchmark results meet accuracy standards using golden output data."],["`validate` takes the `BenchmarkResult` and golden output `ByteBuffer` array as input and returns a boolean indicating accuracy compliance."]]],[]]
