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// META: title=test WebNN API element-wise lesserOrEqual 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 first input tensor is lesser or equal,
// element-wise.
//
// MLOperand lesserOrEqual(MLOperand a, MLOperand b);
const getLesserOrEqualPrecisionTolerance = (graphResources) => {
const toleranceValueDict = {uint8: 0};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
};
const lesserOrEqualTests = [
{
'name': 'lesserOrEqual float32 0D scalar',
'graph': {
'inputs': {
'inputA': {
'data': [-6.978766441345215],
'descriptor': {shape: [], dataType: 'float32'}
},
'inputB': {
'data': [6.613064765930176],
'descriptor': {shape: [], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {'data': [1], 'descriptor': {shape: [], dataType: 'uint8'}}
}
}
},
{
'name': 'lesserOrEqual float32 1D constant tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
},
'inputB': {
'data': [
5.498841285705566, 1.766266107559204, -2.815573215484619,
-6.048312187194824, 9.497536659240723, -2.101574659347534,
-4.079037189483643, 5.314040184020996, 0.03871455416083336,
-0.30728286504745483, 4.97542667388916, 3.462601661682129,
8.605685234069824, 1.5140480995178223, 2.0090959072113037,
-0.3105867803096771, -4.244836330413818, -3.5506834983825684,
-2.5953285694122314, -4.9998064041137695, 3.118950605392456,
9.705141067504883, 9.54673957824707, -6.189505577087402
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1,
0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0
],
'descriptor': {shape: [24], dataType: 'uint8'}
}
}
}
},
{
'name': 'lesserOrEqual float32 1D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [24], dataType: 'float32'}
},
'inputB': {
'data': [
5.498841285705566, 1.766266107559204, -2.815573215484619,
-6.048312187194824, 9.497536659240723, -2.101574659347534,
-4.079037189483643, 5.314040184020996, 0.03871455416083336,
-0.30728286504745483, 4.97542667388916, 3.462601661682129,
8.605685234069824, 1.5140480995178223, 2.0090959072113037,
-0.3105867803096771, -4.244836330413818, -3.5506834983825684,
-2.5953285694122314, -4.9998064041137695, 3.118950605392456,
9.705141067504883, 9.54673957824707, -6.189505577087402
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1,
0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0
],
'descriptor': {shape: [24], dataType: 'uint8'}
}
}
}
},
{
'name': 'lesserOrEqual float32 2D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
},
'inputB': {
'data': [
5.498841285705566, 1.766266107559204, -2.815573215484619,
-6.048312187194824, 9.497536659240723, -2.101574659347534,
-4.079037189483643, 5.314040184020996, 0.03871455416083336,
-0.30728286504745483, 4.97542667388916, 3.462601661682129,
8.605685234069824, 1.5140480995178223, 2.0090959072113037,
-0.3105867803096771, -4.244836330413818, -3.5506834983825684,
-2.5953285694122314, -4.9998064041137695, 3.118950605392456,
9.705141067504883, 9.54673957824707, -6.189505577087402
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1,
0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0
],
'descriptor': {shape: [4, 6], dataType: 'uint8'}
}
}
}
},
{
'name': 'lesserOrEqual float32 3D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
},
'inputB': {
'data': [
5.498841285705566, 1.766266107559204, -2.815573215484619,
-6.048312187194824, 9.497536659240723, -2.101574659347534,
-4.079037189483643, 5.314040184020996, 0.03871455416083336,
-0.30728286504745483, 4.97542667388916, 3.462601661682129,
8.605685234069824, 1.5140480995178223, 2.0090959072113037,
-0.3105867803096771, -4.244836330413818, -3.5506834983825684,
-2.5953285694122314, -4.9998064041137695, 3.118950605392456,
9.705141067504883, 9.54673957824707, -6.189505577087402
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1,
0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0
],
'descriptor': {shape: [2, 3, 4], dataType: 'uint8'}
}
}
}
},
{
'name': 'lesserOrEqual float32 4D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
5.498841285705566, 1.766266107559204, -2.815573215484619,
-6.048312187194824, 9.497536659240723, -2.101574659347534,
-4.079037189483643, 5.314040184020996, 0.03871455416083336,
-0.30728286504745483, 4.97542667388916, 3.462601661682129,
8.605685234069824, 1.5140480995178223, 2.0090959072113037,
-0.3105867803096771, -4.244836330413818, -3.5506834983825684,
-2.5953285694122314, -4.9998064041137695, 3.118950605392456,
9.705141067504883, 9.54673957824707, -6.189505577087402
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1,
0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'lesserOrEqual float32 5D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
5.498841285705566, 1.766266107559204, -2.815573215484619,
-6.048312187194824, 9.497536659240723, -2.101574659347534,
-4.079037189483643, 5.314040184020996, 0.03871455416083336,
-0.30728286504745483, 4.97542667388916, 3.462601661682129,
8.605685234069824, 1.5140480995178223, 2.0090959072113037,
-0.3105867803096771, -4.244836330413818, -3.5506834983825684,
-2.5953285694122314, -4.9998064041137695, 3.118950605392456,
9.705141067504883, 9.54673957824707, -6.189505577087402
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1,
0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'lesserOrEqual float32 broadcast 0D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [4.840610980987549],
'descriptor': {shape: [], dataType: 'float32'}
},
'inputB': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0,
1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'lesserOrEqual float32 broadcast 1D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [4.840610980987549],
'descriptor': {shape: [1], dataType: 'float32'}
},
'inputB': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0,
1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'lesserOrEqual float32 broadcast 2D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
-8.499547004699707, -8.321310043334961, -7.182070732116699,
3.418306350708008, 5.389469146728516, 6.904313087463379
],
'descriptor': {shape: [2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1,
0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'lesserOrEqual float32 broadcast 3D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
4.195140838623047, 7.8286590576171875, 6.6902031898498535,
0.9247010350227356
],
'descriptor': {shape: [2, 2, 1], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'lesserOrEqual float32 broadcast 4D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [4.840610980987549],
'descriptor': {shape: [1, 1, 1, 1], dataType: 'float32'}
},
'inputB': {
'data': [
-8.284008979797363, -3.219264507293701, -6.543179988861084,
-0.540285050868988, -5.413843631744385, 5.583743095397949,
1.50178062915802, 6.5922441482543945, -9.92548656463623,
-7.134799957275391, -4.915772914886475, -9.137166976928711,
9.40368366241455, -9.831502914428711, -2.0123181343078613,
-6.597689628601074, -8.26932144165039, 8.281030654907227,
1.64528226852417, -1.4862726926803589, -4.998753547668457,
-0.920993447303772, -9.434256553649902, 9.813238143920898
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'lesserOrEqual',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0,
1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
}
];
if (navigator.ml) {
lesserOrEqualTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getLesserOrEqualPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}