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Test Info:
- This WPT test may be referenced by the following Test IDs:
- /webnn/conformance_tests/constant-reshape-optimization.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/constant-reshape-optimization.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/constant-reshape-optimization.https.any.html?npu - WPT Dashboard Interop Dashboard
// META: title=test constant reshape optimization
// META: global=window
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
const tests = [{
'name': 'reshape + reshape + reshape + instanceNormalization float32',
'graph': {
'inputs': {
'originalInput': {
'data': [
-97.949951171875, 29.44037628173828, -73.92131042480469,
-38.11185836791992, 41.33772659301758, -59.77853012084961,
-74.66901397705078, -68.16508483886719, 35.82481384277344,
-6.948329448699951, 54.42462158203125, 47.53074645996094,
66.93562316894531, 76.74034881591797, 5.6758809089660645,
25.68659210205078, 37.37651062011719, 56.252689361572266,
-16.574905395507812, 42.949893951416016, 73.8739242553711,
-99.00035095214844, -33.11322784423828, -17.380685806274414
],
'descriptor': {shape: [3, 8], dataType: 'float32'},
'constant': true
},
'originalScale': {
'data': [-94.42772674560547, 66.69620513916016, -98.56572723388672],
'descriptor': {shape: [1, 3, 1, 1], dataType: 'float32'},
'constant': true
},
'originalBias': {
'data': [-33.048641204833984, 4.511423587799072, -37.93617248535156],
'descriptor': {shape: [1, 3, 1, 1], dataType: 'float32'},
'constant': true
},
},
'operators': [
{
'name': 'reshape',
'arguments': [{'input': 'originalInput'}, {'newShape': [2, 3, 2, 2]}],
'outputs': 'reshapedInput'
},
{
'name': 'reshape',
'arguments': [{'input': 'originalScale'}, {'newShape': [3]}],
'outputs': 'reshapedScale'
},
{
'name': 'reshape',
'arguments': [{'input': 'originalBias'}, {'newShape': [3]}],
'outputs': 'reshapedBias'
},
{
'name': 'instanceNormalization',
'arguments': [
{'input': 'reshapedInput'}, {
'options': {
'scale': 'reshapedScale',
'bias': 'reshapedBias',
'epsilon': 0.000001,
'layout': 'nchw'
}
}
],
'outputs': 'instanceNormOutput'
}
],
'expectedOutputs': {
'instanceNormOutput': {
'data': [
70.77738189697266, -179.65554809570312, 23.540178298950195,
-46.8565788269043, 119.31526184082031, -22.847837448120117,
-43.782920837402344, -34.6388053894043, -50.821895599365234,
126.01134490966797, -127.71744537353516, -99.2166976928711,
-108.09159851074219, -139.83889770507812, 90.26488494873047,
25.471038818359375, 22.237276077270508, 67.60342407226562,
-107.4271011352539, 35.6320915222168, -186.15142822265625,
90.01669311523438, -15.238543510437012, -40.37141418457031
],
'descriptor': {shape: [2, 3, 2, 2], dataType: 'float32'}
}
}
}
}];
if (navigator.ml) {
tests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getInstanceNormPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}