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WPT

wpt / webnn / validation_tests / gru.https.any.html?npu

Spec: Web Neural Network API ↗

Runs: Chrome 155.0.8042.0 (wpt@4eb09bcd9, 2026-09-04) | Firefox 157.0a1 (wpt@c3fcbf4ba, 2026-09-04) | Safari 251 preview (wpt@e7122b73f, 2026-09-04) | Ladybird 1.0-52f0f (wpt@a1ecd0c09, 2026-09-04) | Servo Servo 0.6 (wpt@2c385f65e, 2026-09-04) | Blitz a50cb8971 (wpt@a95401e4e, 2026-09-03)

View on the Blitz WPT dashboard | Open test on wpt.live | wpt.fyi

ChromeFirefoxSafariLadybirdServoBlitz
Total26/260/260/260/260/26NOT RUN
SubtestChromeFirefoxSafariLadybirdServoBlitz
assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")PASSFAILFAILFAILFAIL
[gru] Test with default optionsPASSFAILFAILFAILFAIL
[gru] Test with given optionsPASSFAILFAILFAILFAIL
[gru] TypeError is expected if steps equals to zeroPASSFAILFAILFAILFAIL
[gru] TypeError is expected if hiddenSize equals to zeroPASSFAILFAILFAILFAIL
[gru] TypeError is expected if hiddenSize is too largePASSFAILFAILFAILFAIL
[gru] TypeError is expected if the data type of the inputs is not one of the floating point typesPASSFAILFAILFAILFAIL
[gru] TypeError is expected if the rank of input is not 3PASSFAILFAILFAILFAIL
[gru] TypeError is expected if input.shape[0] is not equal to stepsPASSFAILFAILFAILFAIL
[gru] TypeError is expected if weight.shape[1] is not 3 * hiddenSizePASSFAILFAILFAILFAIL
[gru] TypeError is expected if the rank of recurrentWeight is not 3PASSFAILFAILFAILFAIL
[gru] TypeError is expected if the recurrentWeight.shape is invalidPASSFAILFAILFAILFAIL
[gru] TypeError is expected if the size of options.activations is not 2PASSFAILFAILFAILFAIL
[gru] TypeError is expected if the rank of options.bias is not 2PASSFAILFAILFAILFAIL
[gru] TypeError is expected if options.bias.shape[1] is not 3 * hiddenSizePASSFAILFAILFAILFAIL
[gru] TypeError is expected if options.recurrentBias.shape[1] is not 3 * hiddenSizePASSFAILFAILFAILFAIL
[gru] TypeError is expected if the rank of options.initialHiddenState is not 3PASSFAILFAILFAILFAIL
[gru] TypeError is expected if options.initialHiddenState.shape[2] is not inputSizePASSFAILFAILFAILFAIL
[gru] TypeError is expected if the dataType of options.initialHiddenState is incorrectPASSFAILFAILFAILFAIL
[gru] TypeError is expected if the full-sequence output tensor is too largePASSFAILFAILFAILFAIL
[gru] throw if input is from another builderPASSFAILFAILFAILFAIL
[gru] throw if weight is from another builderPASSFAILFAILFAILFAIL
[gru] throw if recurrentWeight is from another builderPASSFAILFAILFAILFAIL
[gru] throw if bias option is from another builderPASSFAILFAILFAILFAIL
[gru] throw if recurrentBias option is from another builderPASSFAILFAILFAILFAIL
[gru] throw if initialHiddenState option is from another builderPASSFAILFAILFAILFAIL