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Test Info:
- This WPT test may be referenced by the following Test IDs:
- /webnn/conformance_tests/max.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/max.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/max.https.any.html?npu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/max.https.any.worker.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/max.https.any.worker.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/max.https.any.worker.html?npu - WPT Dashboard Interop Dashboard
// META: title=test WebNN API element-wise max operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// Compute the element-wise binary maximum of the two input tensors.
// MLOperand max(MLOperand a, MLOperand b);
const getMaxPrecisionTolerance = (graphResources) => {
const toleranceValueDict = {float32: 1, float16: 1};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
};
const maxTests = [
{
'name': 'max float32 1D constant tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
17.72909164428711, 88.1480712890625, -12.794827461242676,
11.817361831665039, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
-96.00484466552734, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -96.84203338623047, 57.25886917114258,
-56.29146194458008, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
65.67964935302734, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
},
'inputB': {
'data': [
-34.50435256958008, 85.73471069335938, 25.818017959594727,
-91.37040710449219, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, -73.76497650146484,
55.388797760009766, -58.69169616699219, -67.62332916259766,
-89.83531188964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, -97.36360168457031,
-59.90718078613281, 97.15335083007812, -40.226924896240234,
-61.5142707824707, 33.363243103027344, 12.693191528320312
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'max',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
17.72909164428711, 88.1480712890625, 25.818017959594727,
11.817361831665039, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, 50.57254409790039,
55.388797760009766, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, 21.347652435302734,
79.85667419433594, 97.15335083007812, 1.2300019264221191,
65.67964935302734, 99.89971160888672, 12.693191528320312
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'max float32 1D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
17.72909164428711, 88.1480712890625, -12.794827461242676,
11.817361831665039, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
-96.00484466552734, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -96.84203338623047, 57.25886917114258,
-56.29146194458008, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
65.67964935302734, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [24], dataType: 'float32'}
},
'inputB': {
'data': [
-34.50435256958008, 85.73471069335938, 25.818017959594727,
-91.37040710449219, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, -73.76497650146484,
55.388797760009766, -58.69169616699219, -67.62332916259766,
-89.83531188964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, -97.36360168457031,
-59.90718078613281, 97.15335083007812, -40.226924896240234,
-61.5142707824707, 33.363243103027344, 12.693191528320312
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'max',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
17.72909164428711, 88.1480712890625, 25.818017959594727,
11.817361831665039, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, 50.57254409790039,
55.388797760009766, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, 21.347652435302734,
79.85667419433594, 97.15335083007812, 1.2300019264221191,
65.67964935302734, 99.89971160888672, 12.693191528320312
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'max float32 2D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
17.72909164428711, 88.1480712890625, -12.794827461242676,
11.817361831665039, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
-96.00484466552734, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -96.84203338623047, 57.25886917114258,
-56.29146194458008, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
65.67964935302734, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
},
'inputB': {
'data': [
-34.50435256958008, 85.73471069335938, 25.818017959594727,
-91.37040710449219, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, -73.76497650146484,
55.388797760009766, -58.69169616699219, -67.62332916259766,
-89.83531188964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, -97.36360168457031,
-59.90718078613281, 97.15335083007812, -40.226924896240234,
-61.5142707824707, 33.363243103027344, 12.693191528320312
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'max',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
17.72909164428711, 88.1480712890625, 25.818017959594727,
11.817361831665039, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, 50.57254409790039,
55.388797760009766, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, 21.347652435302734,
79.85667419433594, 97.15335083007812, 1.2300019264221191,
65.67964935302734, 99.89971160888672, 12.693191528320312
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
}
}
},
{
'name': 'max float32 3D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
17.72909164428711, 88.1480712890625, -12.794827461242676,
11.817361831665039, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
-96.00484466552734, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -96.84203338623047, 57.25886917114258,
-56.29146194458008, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
65.67964935302734, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
},
'inputB': {
'data': [
-34.50435256958008, 85.73471069335938, 25.818017959594727,
-91.37040710449219, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, -73.76497650146484,
55.388797760009766, -58.69169616699219, -67.62332916259766,
-89.83531188964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, -97.36360168457031,
-59.90718078613281, 97.15335083007812, -40.226924896240234,
-61.5142707824707, 33.363243103027344, 12.693191528320312
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'max',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
17.72909164428711, 88.1480712890625, 25.818017959594727,
11.817361831665039, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, 50.57254409790039,
55.388797760009766, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, 21.347652435302734,
79.85667419433594, 97.15335083007812, 1.2300019264221191,
65.67964935302734, 99.89971160888672, 12.693191528320312
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
}
}
},
{
'name': 'max float32 4D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
17.72909164428711, 88.1480712890625, -12.794827461242676,
11.817361831665039, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
-96.00484466552734, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -96.84203338623047, 57.25886917114258,
-56.29146194458008, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
65.67964935302734, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
-34.50435256958008, 85.73471069335938, 25.818017959594727,
-91.37040710449219, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, -73.76497650146484,
55.388797760009766, -58.69169616699219, -67.62332916259766,
-89.83531188964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, -97.36360168457031,
-59.90718078613281, 97.15335083007812, -40.226924896240234,
-61.5142707824707, 33.363243103027344, 12.693191528320312
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'max',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
17.72909164428711, 88.1480712890625, 25.818017959594727,
11.817361831665039, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, 50.57254409790039,
55.388797760009766, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, 21.347652435302734,
79.85667419433594, 97.15335083007812, 1.2300019264221191,
65.67964935302734, 99.89971160888672, 12.693191528320312
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'max float32 5D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
17.72909164428711, 88.1480712890625, -12.794827461242676,
11.817361831665039, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
-96.00484466552734, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -96.84203338623047, 57.25886917114258,
-56.29146194458008, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
65.67964935302734, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
-34.50435256958008, 85.73471069335938, 25.818017959594727,
-91.37040710449219, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, -73.76497650146484,
55.388797760009766, -58.69169616699219, -67.62332916259766,
-89.83531188964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, -97.36360168457031,
-59.90718078613281, 97.15335083007812, -40.226924896240234,
-61.5142707824707, 33.363243103027344, 12.693191528320312
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'max',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
17.72909164428711, 88.1480712890625, 25.818017959594727,
11.817361831665039, 87.01370239257812, 0.17744044959545135,
74.8826675415039, -4.1699137687683105, 50.57254409790039,
55.388797760009766, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -8.275739669799805, 97.59577178955078,
-48.968868255615234, 95.34497833251953, 21.347652435302734,
79.85667419433594, 97.15335083007812, 1.2300019264221191,
65.67964935302734, 99.89971160888672, 12.693191528320312
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'max float32 broadcast 1D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [48.26115417480469],
'descriptor': {shape: [1], dataType: 'float32'}
},
'inputB': {
'data': [
17.72909164428711, 88.1480712890625, -12.794827461242676,
11.817361831665039, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
-96.00484466552734, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -96.84203338623047, 57.25886917114258,
-56.29146194458008, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
65.67964935302734, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'max',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
48.26115417480469, 88.1480712890625, 48.26115417480469,
48.26115417480469, 48.26115417480469, 48.26115417480469,
50.771915435791016, 48.26115417480469, 50.57254409790039,
48.26115417480469, 50.21434020996094, 48.26115417480469,
48.26115417480469, 48.26115417480469, 57.25886917114258,
48.26115417480469, 73.71659851074219, 48.26115417480469,
79.85667419433594, 48.26115417480469, 48.26115417480469,
65.67964935302734, 99.89971160888672, 48.26115417480469
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'max float32 broadcast 2D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [
17.72909164428711, 88.1480712890625, -12.794827461242676,
11.817361831665039, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
-96.00484466552734, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -96.84203338623047, 57.25886917114258,
-56.29146194458008, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
65.67964935302734, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
49.523128509521484, -61.555763244628906, -6.564808368682861,
93.32227325439453, 3.3104186058044434, -98.31839752197266
],
'descriptor': {shape: [2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'max',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
49.523128509521484, 88.1480712890625, -6.564808368682861,
93.32227325439453, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
93.32227325439453, 50.21434020996094, 20.59501075744629,
49.523128509521484, -61.555763244628906, 57.25886917114258,
93.32227325439453, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
93.32227325439453, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'max float32 broadcast 3D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [
17.72909164428711, 88.1480712890625, -12.794827461242676,
11.817361831665039, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
-96.00484466552734, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -96.84203338623047, 57.25886917114258,
-56.29146194458008, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
65.67964935302734, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
39.32178497314453, 44.523738861083984, 58.046287536621094,
84.13702392578125
],
'descriptor': {shape: [2, 2, 1], dataType: 'float32'}
}
},
'operators': [{
'name': 'max',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
39.32178497314453, 88.1480712890625, 39.32178497314453,
44.523738861083984, 44.523738861083984, 44.523738861083984,
58.046287536621094, 58.046287536621094, 58.046287536621094,
84.13702392578125, 84.13702392578125, 84.13702392578125,
39.32178497314453, 39.32178497314453, 57.25886917114258,
44.523738861083984, 73.71659851074219, 44.523738861083984,
79.85667419433594, 58.046287536621094, 58.046287536621094,
84.13702392578125, 99.89971160888672, 84.13702392578125
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'max float32 broadcast 4D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [48.26115417480469],
'descriptor': {shape: [1, 1, 1, 1], dataType: 'float32'}
},
'inputB': {
'data': [
17.72909164428711, 88.1480712890625, -12.794827461242676,
11.817361831665039, 19.51302146911621, -62.87843704223633,
50.771915435791016, -56.91352081298828, 50.57254409790039,
-96.00484466552734, 50.21434020996094, 20.59501075744629,
-60.699546813964844, -96.84203338623047, 57.25886917114258,
-56.29146194458008, 73.71659851074219, 21.347652435302734,
79.85667419433594, -22.918458938598633, 1.2300019264221191,
65.67964935302734, 99.89971160888672, -62.321685791015625
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'max',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
48.26115417480469, 88.1480712890625, 48.26115417480469,
48.26115417480469, 48.26115417480469, 48.26115417480469,
50.771915435791016, 48.26115417480469, 50.57254409790039,
48.26115417480469, 50.21434020996094, 48.26115417480469,
48.26115417480469, 48.26115417480469, 57.25886917114258,
48.26115417480469, 73.71659851074219, 48.26115417480469,
79.85667419433594, 48.26115417480469, 48.26115417480469,
65.67964935302734, 99.89971160888672, 48.26115417480469
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
}
];
if (navigator.ml) {
maxTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getMaxPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}