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Test Info:
- This WPT test may be referenced by the following Test IDs:
- /webnn/conformance_tests/equal.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/equal.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/equal.https.any.html?npu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/equal.https.any.worker.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/equal.https.any.worker.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/equal.https.any.worker.html?npu - WPT Dashboard Interop Dashboard
// META: title=test WebNN API element-wise equal operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// Compare if the values of the two input tensors are equal, element-wise.
//
// MLOperand equal(MLOperand a, MLOperand b);
const getEqualPrecisionTolerance = (graphResources) => {
const toleranceValueDict = {uint8: 0};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
};
const equalTests = [
{
'name': 'equal float32 0D scalar',
'graph': {
'inputs': {
'inputA': {
'data': [-0.6285496950149536],
'descriptor': {shape: [], dataType: 'float32'}
},
'inputB': {
'data': [-4.4166412353515625],
'descriptor': {shape: [], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {'data': [0], 'descriptor': {shape: [], dataType: 'uint8'}}
}
}
},
{
'name': 'equal float32 1D constant tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, -4.839719772338867,
4.996258735656738, 0.9727277755737305, -6.173707485198975,
2.80570650100708, 5.588105201721191, 7.767369747161865,
-4.308907985687256, -5.895479679107666, -8.53209114074707,
2.80570650100708, 5.588105201721191, 0.17833954095840454,
-4.479541778564453, 0.6819732189178467, -6.6875128746032715,
2.80570650100708, 5.588105201721191, -9.041799545288086,
-1.9728281497955322, -3.011512279510498, 3.6268343925476074
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0,
1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0
],
'descriptor': {shape: [24], dataType: 'uint8'}
}
}
}
},
{
'name': 'equal float32 1D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [24], dataType: 'float32'}
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, -4.839719772338867,
4.996258735656738, 0.9727277755737305, -6.173707485198975,
2.80570650100708, 5.588105201721191, 7.767369747161865,
-4.308907985687256, -5.895479679107666, -8.53209114074707,
2.80570650100708, 5.588105201721191, 0.17833954095840454,
-4.479541778564453, 0.6819732189178467, -6.6875128746032715,
2.80570650100708, 5.588105201721191, -9.041799545288086,
-1.9728281497955322, -3.011512279510498, 3.6268343925476074
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0,
1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0
],
'descriptor': {shape: [24], dataType: 'uint8'}
}
}
}
},
{
'name': 'equal float32 2D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, -4.839719772338867,
4.996258735656738, 0.9727277755737305, -6.173707485198975,
2.80570650100708, 5.588105201721191, 7.767369747161865,
-4.308907985687256, -5.895479679107666, -8.53209114074707,
2.80570650100708, 5.588105201721191, 0.17833954095840454,
-4.479541778564453, 0.6819732189178467, -6.6875128746032715,
2.80570650100708, 5.588105201721191, -9.041799545288086,
-1.9728281497955322, -3.011512279510498, 3.6268343925476074
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0,
1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0
],
'descriptor': {shape: [4, 6], dataType: 'uint8'}
}
}
}
},
{
'name': 'equal float32 3D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, -4.839719772338867,
4.996258735656738, 0.9727277755737305, -6.173707485198975,
2.80570650100708, 5.588105201721191, 7.767369747161865,
-4.308907985687256, -5.895479679107666, -8.53209114074707,
2.80570650100708, 5.588105201721191, 0.17833954095840454,
-4.479541778564453, 0.6819732189178467, -6.6875128746032715,
2.80570650100708, 5.588105201721191, -9.041799545288086,
-1.9728281497955322, -3.011512279510498, 3.6268343925476074
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0,
1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0
],
'descriptor': {shape: [2, 3, 4], dataType: 'uint8'}
}
}
}
},
{
'name': 'equal float32 4D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, -4.839719772338867,
4.996258735656738, 0.9727277755737305, -6.173707485198975,
2.80570650100708, 5.588105201721191, 7.767369747161865,
-4.308907985687256, -5.895479679107666, -8.53209114074707,
2.80570650100708, 5.588105201721191, 0.17833954095840454,
-4.479541778564453, 0.6819732189178467, -6.6875128746032715,
2.80570650100708, 5.588105201721191, -9.041799545288086,
-1.9728281497955322, -3.011512279510498, 3.6268343925476074
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0,
1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'equal float32 5D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, -4.839719772338867,
4.996258735656738, 0.9727277755737305, -6.173707485198975,
2.80570650100708, 5.588105201721191, 7.767369747161865,
-4.308907985687256, -5.895479679107666, -8.53209114074707,
2.80570650100708, 5.588105201721191, 0.17833954095840454,
-4.479541778564453, 0.6819732189178467, -6.6875128746032715,
2.80570650100708, 5.588105201721191, -9.041799545288086,
-1.9728281497955322, -3.011512279510498, 3.6268343925476074
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0,
1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'equal float32 broadcast 0D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [2.80570650100708],
'descriptor': {shape: [], dataType: 'float32'}
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'equal float32 broadcast 1D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [2.80570650100708],
'descriptor': {shape: [1], dataType: 'float32'}
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'equal float32 broadcast 2D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, -4.9622955322265625,
-2.863192081451416, -3.011512279510498, 3.6268343925476074
],
'descriptor': {shape: [2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0,
1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'equal float32 broadcast 3D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, -9.041799545288086,
3.6268343925476074
],
'descriptor': {shape: [2, 2, 1], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'equal float32 broadcast 4D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [2.80570650100708],
'descriptor': {shape: [1, 1, 1, 1], dataType: 'float32'}
},
'inputB': {
'data': [
2.80570650100708, 5.588105201721191, 2.855226516723633,
4.996258735656738, 0.9727277755737305, -4.742599964141846,
2.80570650100708, 5.588105201721191, -5.107602119445801,
6.624142169952393, -2.3207247257232666, -7.053895950317383,
2.80570650100708, 5.588105201721191, 4.980423927307129,
-5.440841197967529, 1.1459590196609497, 7.774532794952393,
2.80570650100708, 5.588105201721191, -6.245251178741455,
-2.8490731716156006, -2.6951117515563965, 5.817563056945801
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'equal',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
}
];
if (navigator.ml) {
equalTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getEqualPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}