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Test Info: Warnings
- This test has a WPT meta file that expects 1 subtest issues.
- This WPT test may be referenced by the following Test IDs:
- /webnn/conformance_tests/where.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/where.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/where.https.any.html?npu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/where.https.any.worker.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/where.https.any.worker.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/where.https.any.worker.html?npu - WPT Dashboard Interop Dashboard
// META: title=test WebNN API where operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// Select the values from the input or the other tensor depending on the
// corresponding boolean values of the condition tensor.
//
// MLOperand where(MLOperand condition, MLOperand trueValue, MLOperand
// falseValue);
const getWherePrecisionTolerance = (graphResources) => {
const toleranceValueDict = {float32: 0, float16: 0};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
};
const whereTests = [
{
'name': 'where float32 0D scalars',
'graph': {
'inputs': {
'inputCondition':
{'data': [247], 'descriptor': {shape: [], dataType: 'uint8'}},
'inputTrueValue': {
'data': [-22.83924102783203],
'descriptor': {shape: [], dataType: 'float32'}
},
'inputFalseValue': {
'data': [-50.02232360839844],
'descriptor': {shape: [], dataType: 'float32'}
}
},
'operators': [{
'name': 'where',
'arguments': [
{'condition': 'inputCondition'}, {'trueValue': 'inputTrueValue'},
{'falseValue': 'inputFalseValue'}
],
'outputs': 'whereOutput'
}],
'expectedOutputs': {
'whereOutput': {
'data': [-22.83924102783203],
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'where float32 1D constant tensors',
'graph': {
'inputs': {
'inputCondition': {
'data': [
241, 0, 85, 0, 227, 51, 202, 0, 104, 227, 129, 129,
175, 134, 130, 140, 103, 46, 158, 17, 0, 41, 94, 0
],
'descriptor': {shape: [24], dataType: 'uint8'},
'constant': true
},
'inputTrueValue': {
'data': [
70.27151489257812, 89.99047088623047, -1.5351932048797607,
-83.77035522460938, 29.59670639038086, -37.10446548461914,
-6.663239002227783, -83.15333557128906, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, -10.8577880859375,
-23.302522659301758, 30.851404190063477, -58.82704544067383
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
},
'inputFalseValue': {
'data': [
90.44255065917969, 66.7642593383789, -39.82423782348633,
-21.683168411254883, -67.3449478149414, -46.46003341674805,
-55.907073974609375, 65.5730209350586, 35.14354705810547,
11.960981369018555, 76.65287780761719, 60.741416931152344,
-93.93305206298828, -30.397233963012695, 34.315250396728516,
7.7088470458984375, -82.2353286743164, 91.12223052978516,
22.937334060668945, 74.97810363769531, 18.877336502075195,
62.31299591064453, 48.867103576660156, -75.41789245605469
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'where',
'arguments': [
{'condition': 'inputCondition'}, {'trueValue': 'inputTrueValue'},
{'falseValue': 'inputFalseValue'}
],
'outputs': 'whereOutput'
}],
'expectedOutputs': {
'whereOutput': {
'data': [
70.27151489257812, 66.7642593383789, -1.5351932048797607,
-21.683168411254883, 29.59670639038086, -37.10446548461914,
-6.663239002227783, 65.5730209350586, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, 18.877336502075195,
-23.302522659301758, 30.851404190063477, -75.41789245605469
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'where float32 1D tensors',
'graph': {
'inputs': {
'inputCondition': {
'data': [
241, 0, 85, 0, 227, 51, 202, 0, 104, 227, 129, 129,
175, 134, 130, 140, 103, 46, 158, 17, 0, 41, 94, 0
],
'descriptor': {shape: [24], dataType: 'uint8'}
},
'inputTrueValue': {
'data': [
70.27151489257812, 89.99047088623047, -1.5351932048797607,
-83.77035522460938, 29.59670639038086, -37.10446548461914,
-6.663239002227783, -83.15333557128906, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, -10.8577880859375,
-23.302522659301758, 30.851404190063477, -58.82704544067383
],
'descriptor': {shape: [24], dataType: 'float32'}
},
'inputFalseValue': {
'data': [
90.44255065917969, 66.7642593383789, -39.82423782348633,
-21.683168411254883, -67.3449478149414, -46.46003341674805,
-55.907073974609375, 65.5730209350586, 35.14354705810547,
11.960981369018555, 76.65287780761719, 60.741416931152344,
-93.93305206298828, -30.397233963012695, 34.315250396728516,
7.7088470458984375, -82.2353286743164, 91.12223052978516,
22.937334060668945, 74.97810363769531, 18.877336502075195,
62.31299591064453, 48.867103576660156, -75.41789245605469
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'where',
'arguments': [
{'condition': 'inputCondition'}, {'trueValue': 'inputTrueValue'},
{'falseValue': 'inputFalseValue'}
],
'outputs': 'whereOutput'
}],
'expectedOutputs': {
'whereOutput': {
'data': [
70.27151489257812, 66.7642593383789, -1.5351932048797607,
-21.683168411254883, 29.59670639038086, -37.10446548461914,
-6.663239002227783, 65.5730209350586, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, 18.877336502075195,
-23.302522659301758, 30.851404190063477, -75.41789245605469
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'where float32 2D tensors',
'graph': {
'inputs': {
'inputCondition': {
'data': [
241, 0, 85, 0, 227, 51, 202, 0, 104, 227, 129, 129,
175, 134, 130, 140, 103, 46, 158, 17, 0, 41, 94, 0
],
'descriptor': {shape: [4, 6], dataType: 'uint8'}
},
'inputTrueValue': {
'data': [
70.27151489257812, 89.99047088623047, -1.5351932048797607,
-83.77035522460938, 29.59670639038086, -37.10446548461914,
-6.663239002227783, -83.15333557128906, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, -10.8577880859375,
-23.302522659301758, 30.851404190063477, -58.82704544067383
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
},
'inputFalseValue': {
'data': [
90.44255065917969, 66.7642593383789, -39.82423782348633,
-21.683168411254883, -67.3449478149414, -46.46003341674805,
-55.907073974609375, 65.5730209350586, 35.14354705810547,
11.960981369018555, 76.65287780761719, 60.741416931152344,
-93.93305206298828, -30.397233963012695, 34.315250396728516,
7.7088470458984375, -82.2353286743164, 91.12223052978516,
22.937334060668945, 74.97810363769531, 18.877336502075195,
62.31299591064453, 48.867103576660156, -75.41789245605469
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'where',
'arguments': [
{'condition': 'inputCondition'}, {'trueValue': 'inputTrueValue'},
{'falseValue': 'inputFalseValue'}
],
'outputs': 'whereOutput'
}],
'expectedOutputs': {
'whereOutput': {
'data': [
70.27151489257812, 66.7642593383789, -1.5351932048797607,
-21.683168411254883, 29.59670639038086, -37.10446548461914,
-6.663239002227783, 65.5730209350586, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, 18.877336502075195,
-23.302522659301758, 30.851404190063477, -75.41789245605469
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
}
}
},
{
'name': 'where float32 3D tensors',
'graph': {
'inputs': {
'inputCondition': {
'data': [
241, 0, 85, 0, 227, 51, 202, 0, 104, 227, 129, 129,
175, 134, 130, 140, 103, 46, 158, 17, 0, 41, 94, 0
],
'descriptor': {shape: [2, 3, 4], dataType: 'uint8'}
},
'inputTrueValue': {
'data': [
70.27151489257812, 89.99047088623047, -1.5351932048797607,
-83.77035522460938, 29.59670639038086, -37.10446548461914,
-6.663239002227783, -83.15333557128906, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, -10.8577880859375,
-23.302522659301758, 30.851404190063477, -58.82704544067383
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
},
'inputFalseValue': {
'data': [
90.44255065917969, 66.7642593383789, -39.82423782348633,
-21.683168411254883, -67.3449478149414, -46.46003341674805,
-55.907073974609375, 65.5730209350586, 35.14354705810547,
11.960981369018555, 76.65287780761719, 60.741416931152344,
-93.93305206298828, -30.397233963012695, 34.315250396728516,
7.7088470458984375, -82.2353286743164, 91.12223052978516,
22.937334060668945, 74.97810363769531, 18.877336502075195,
62.31299591064453, 48.867103576660156, -75.41789245605469
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'where',
'arguments': [
{'condition': 'inputCondition'}, {'trueValue': 'inputTrueValue'},
{'falseValue': 'inputFalseValue'}
],
'outputs': 'whereOutput'
}],
'expectedOutputs': {
'whereOutput': {
'data': [
70.27151489257812, 66.7642593383789, -1.5351932048797607,
-21.683168411254883, 29.59670639038086, -37.10446548461914,
-6.663239002227783, 65.5730209350586, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, 18.877336502075195,
-23.302522659301758, 30.851404190063477, -75.41789245605469
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
}
}
},
{
'name': 'where float32 4D tensors',
'graph': {
'inputs': {
'inputCondition': {
'data': [
241, 0, 85, 0, 227, 51, 202, 0, 104, 227, 129, 129,
175, 134, 130, 140, 103, 46, 158, 17, 0, 41, 94, 0
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
},
'inputTrueValue': {
'data': [
70.27151489257812, 89.99047088623047, -1.5351932048797607,
-83.77035522460938, 29.59670639038086, -37.10446548461914,
-6.663239002227783, -83.15333557128906, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, -10.8577880859375,
-23.302522659301758, 30.851404190063477, -58.82704544067383
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputFalseValue': {
'data': [
90.44255065917969, 66.7642593383789, -39.82423782348633,
-21.683168411254883, -67.3449478149414, -46.46003341674805,
-55.907073974609375, 65.5730209350586, 35.14354705810547,
11.960981369018555, 76.65287780761719, 60.741416931152344,
-93.93305206298828, -30.397233963012695, 34.315250396728516,
7.7088470458984375, -82.2353286743164, 91.12223052978516,
22.937334060668945, 74.97810363769531, 18.877336502075195,
62.31299591064453, 48.867103576660156, -75.41789245605469
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'where',
'arguments': [
{'condition': 'inputCondition'}, {'trueValue': 'inputTrueValue'},
{'falseValue': 'inputFalseValue'}
],
'outputs': 'whereOutput'
}],
'expectedOutputs': {
'whereOutput': {
'data': [
70.27151489257812, 66.7642593383789, -1.5351932048797607,
-21.683168411254883, 29.59670639038086, -37.10446548461914,
-6.663239002227783, 65.5730209350586, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, 18.877336502075195,
-23.302522659301758, 30.851404190063477, -75.41789245605469
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'where float32 5D tensors',
'graph': {
'inputs': {
'inputCondition': {
'data': [
241, 0, 85, 0, 227, 51, 202, 0, 104, 227, 129, 129,
175, 134, 130, 140, 103, 46, 158, 17, 0, 41, 94, 0
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'uint8'}
},
'inputTrueValue': {
'data': [
70.27151489257812, 89.99047088623047, -1.5351932048797607,
-83.77035522460938, 29.59670639038086, -37.10446548461914,
-6.663239002227783, -83.15333557128906, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, -10.8577880859375,
-23.302522659301758, 30.851404190063477, -58.82704544067383
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
},
'inputFalseValue': {
'data': [
90.44255065917969, 66.7642593383789, -39.82423782348633,
-21.683168411254883, -67.3449478149414, -46.46003341674805,
-55.907073974609375, 65.5730209350586, 35.14354705810547,
11.960981369018555, 76.65287780761719, 60.741416931152344,
-93.93305206298828, -30.397233963012695, 34.315250396728516,
7.7088470458984375, -82.2353286743164, 91.12223052978516,
22.937334060668945, 74.97810363769531, 18.877336502075195,
62.31299591064453, 48.867103576660156, -75.41789245605469
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'where',
'arguments': [
{'condition': 'inputCondition'}, {'trueValue': 'inputTrueValue'},
{'falseValue': 'inputFalseValue'}
],
'outputs': 'whereOutput'
}],
'expectedOutputs': {
'whereOutput': {
'data': [
70.27151489257812, 66.7642593383789, -1.5351932048797607,
-21.683168411254883, 29.59670639038086, -37.10446548461914,
-6.663239002227783, 65.5730209350586, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, 18.877336502075195,
-23.302522659301758, 30.851404190063477, -75.41789245605469
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'where float32 4D tensors only broadcast condition 0D to 4D',
'graph': {
'inputs': {
'inputCondition':
{'data': [247], 'descriptor': {shape: [], dataType: 'uint8'}},
'inputTrueValue': {
'data': [
70.27151489257812, 89.99047088623047, -1.5351932048797607,
-83.77035522460938, 29.59670639038086, -37.10446548461914,
-6.663239002227783, -83.15333557128906, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, -10.8577880859375,
-23.302522659301758, 30.851404190063477, -58.82704544067383
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputFalseValue': {
'data': [
90.44255065917969, 66.7642593383789, -39.82423782348633,
-21.683168411254883, -67.3449478149414, -46.46003341674805,
-55.907073974609375, 65.5730209350586, 35.14354705810547,
11.960981369018555, 76.65287780761719, 60.741416931152344,
-93.93305206298828, -30.397233963012695, 34.315250396728516,
7.7088470458984375, -82.2353286743164, 91.12223052978516,
22.937334060668945, 74.97810363769531, 18.877336502075195,
62.31299591064453, 48.867103576660156, -75.41789245605469
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'where',
'arguments': [
{'condition': 'inputCondition'}, {'trueValue': 'inputTrueValue'},
{'falseValue': 'inputFalseValue'}
],
'outputs': 'whereOutput'
}],
'expectedOutputs': {
'whereOutput': {
'data': [
70.27151489257812, 89.99047088623047, -1.5351932048797607,
-83.77035522460938, 29.59670639038086, -37.10446548461914,
-6.663239002227783, -83.15333557128906, -90.47624206542969,
-45.470706939697266, 50.38861083984375, 46.510799407958984,
47.503013610839844, -21.95842933654785, 42.89878463745117,
-76.8262710571289, 67.0030746459961, 40.09717559814453,
-29.081029891967773, -12.19106674194336, -10.8577880859375,
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-93.49223327636719
],
'descriptor': {shape: [2, 2, 1], dataType: 'float32'}
}
},
'operators': [{
'name': 'where',
'arguments': [
{'condition': 'inputCondition'}, {'trueValue': 'inputTrueValue'},
{'falseValue': 'inputFalseValue'}
],
'outputs': 'whereOutput'
}],
'expectedOutputs': {
'whereOutput': {
'data': [
38.77214050292969, 18.20477294921875, -11.542049407958984,
-82.74693298339844, -18.61202621459961, -75.77534484863281,
38.77214050292969, 18.20477294921875, -11.542049407958984,
-82.74693298339844, -18.61202621459961, -75.77534484863281,
38.77214050292969, 18.20477294921875, -11.542049407958984,
-82.74693298339844, -18.61202621459961, -75.77534484863281,
38.77214050292969, 18.20477294921875, -11.542049407958984,
-82.74693298339844, -18.61202621459961, -75.77534484863281
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
}
];
if (navigator.ml) {
whereTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getWherePrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}