[WebNN EP] Support LpNormalization op - #31197
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WebNN has no dedicated `LpNormalization` operator, so decompose it into:
`output = input / max(Lp_norm(input, axis), eps)`
- p==1: `norm = reduceL1(input, {axis})`
- p==2: `norm = reduceL2(input, {axis});`
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@fdwr, PTAL, thanks! |
fdwr
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Aug 2, 2026
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/azp run Test Linux CUDA x64 Release,web_Debug / build_onnxruntime_web,web_Release / build_onnxruntime_web,web_Release / build_onnxruntime_web |
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WebNN has no dedicated
LpNormalizationoperator, so decompose it into:output = input / max(Lp_norm(input, axis), eps)norm = reduceL1(input, {axis})norm = reduceL2(input, {axis})