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WPT

wpt / webnn / validation_tests / layerNormalization.https.any.html?cpu

Spec: Web Neural Network API ↗

Runs: Chrome 155.0.8039.0 (wpt@508cc6a62, 2026-09-03) | Firefox 157.0a1 (wpt@508cc6a62, 2026-09-03) | Safari 251 preview (wpt@5ce815a83, 2026-08-27) | Ladybird 1.0-56c61 (wpt@8fdda8ce4, 2026-09-03) | Servo Servo 0.6 (wpt@09159dcb3, 2026-09-02) | Blitz 188486089 (wpt@a95401e4e, 2026-09-02)

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ChromeFirefoxSafariLadybirdServoBlitz
Total21/210/210/210/210/21NOT RUN
SubtestChromeFirefoxSafariLadybirdServoBlitz
assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")PASSFAILFAILFAILFAIL
[layerNormalization] throw if input is from another builderPASSFAILFAILFAILFAIL
[layerNormalization] throw if scale option is from another builderPASSFAILFAILFAILFAIL
[layerNormalization] throw if bias option is from another builderPASSFAILFAILFAILFAIL
[layerNormalization] Test with default options for scalar input.PASSFAILFAILFAILFAIL
[layerNormalization] Test when the input data type is float16.PASSFAILFAILFAILFAIL
[layerNormalization] Test with given axes.PASSFAILFAILFAILFAIL
[layerNormalization] Test with given scale.PASSFAILFAILFAILFAIL
[layerNormalization] Test with a non-default epsilon value.PASSFAILFAILFAILFAIL
[layerNormalization] Test with given axes, scale and bias.PASSFAILFAILFAILFAIL
[layerNormalization] Test with nonconsecutive axes.PASSFAILFAILFAILFAIL
[layerNormalization] Test with axes in descending order.PASSFAILFAILFAILFAIL
[layerNormalization] Throw if the input data type is not one of the floating point types.PASSFAILFAILFAILFAIL
[layerNormalization] Throw if the axis is greater than the input rank.PASSFAILFAILFAILFAIL
[layerNormalization] Throw if the axes have duplications.PASSFAILFAILFAILFAIL
[layerNormalization] Throw if the bias data type doesn't match input data typePASSFAILFAILFAILFAIL
[layerNormalization] Throw if the scale data type doesn't match input data typePASSFAILFAILFAILFAIL
[layerNormalization] Throw if the bias dimensions doesn't match axis dimensions.PASSFAILFAILFAILFAIL
[layerNormalization] Throw if the scale dimensions doesn't match axis dimensions.PASSFAILFAILFAILFAIL
[layerNormalization] Throw if the bias rank doesn't match axis rank.PASSFAILFAILFAILFAIL
[layerNormalization] Throw if the scale rank doesn't match axis rank.PASSFAILFAILFAILFAIL