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Test Info:
- This WPT test may be referenced by the following Test IDs:
- /webnn/conformance_tests/div.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/div.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/div.https.any.html?npu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/div.https.any.worker.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/div.https.any.worker.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/div.https.any.worker.html?npu - WPT Dashboard Interop Dashboard
// META: title=test WebNN API element-wise div 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 division of the two input tensors.
// MLOperand div(MLOperand a, MLOperand b);
const getDivPrecisionTolerance = (graphResources) => {
const toleranceValueDict = {float32: 2, float16: 2};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
};
const divTests = [
{
'name': 'div float32 1D constant tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
60.42374038696289, -86.92247772216797, -19.496112823486328,
-15.150615692138672, 13.455190658569336, 45.433597564697266,
61.082862854003906, 70.71882629394531, -31.278579711914062,
56.08354187011719, 38.992767333984375, -3.27536940574646,
32.28932189941406, -3.676541805267334, 88.4349136352539,
14.369060516357422, 13.943194389343262, 16.861190795898438,
4.816806316375732, 44.15916442871094, -13.083211898803711,
44.56599807739258, -34.892784118652344, -74.09375
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
},
'inputB': {
'data': [
-95.0290298461914, 62.804866790771484, -85.32865905761719,
-68.20919799804688, 79.45568084716797, -68.69049072265625,
-94.46466827392578, -10.000411033630371, 18.318864822387695,
-3.6232800483703613, -5.957828044891357, 89.49882507324219,
94.9579086303711, -79.0005874633789, -79.87596893310547,
74.99787139892578, 25.865373611450195, 91.5443344116211,
81.65287017822266, 48.2148323059082, 63.370121002197266,
10.626384735107422, 46.126625061035156, 77.22327423095703
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'div',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
-0.6358450651168823, -1.3840086460113525, 0.22848258912563324,
0.22211983799934387, 0.16934208571910858, -0.6614248752593994,
-0.6466212868690491, -7.071591854095459, -1.7074518203735352,
-15.478666305541992, -6.544795513153076, -0.036596786230802536,
0.3400382697582245, 0.046538159251213074, -1.1071529388427734,
0.19159291684627533, 0.5390679836273193, 0.18418607115745544,
0.058991268277168274, 0.9158834218978882, -0.20645710825920105,
4.193900108337402, -0.7564564943313599, -0.9594743251800537
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'div float32 1D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
60.42374038696289, -86.92247772216797, -19.496112823486328,
-15.150615692138672, 13.455190658569336, 45.433597564697266,
61.082862854003906, 70.71882629394531, -31.278579711914062,
56.08354187011719, 38.992767333984375, -3.27536940574646,
32.28932189941406, -3.676541805267334, 88.4349136352539,
14.369060516357422, 13.943194389343262, 16.861190795898438,
4.816806316375732, 44.15916442871094, -13.083211898803711,
44.56599807739258, -34.892784118652344, -74.09375
],
'descriptor': {shape: [24], dataType: 'float32'}
},
'inputB': {
'data': [
-95.0290298461914, 62.804866790771484, -85.32865905761719,
-68.20919799804688, 79.45568084716797, -68.69049072265625,
-94.46466827392578, -10.000411033630371, 18.318864822387695,
-3.6232800483703613, -5.957828044891357, 89.49882507324219,
94.9579086303711, -79.0005874633789, -79.87596893310547,
74.99787139892578, 25.865373611450195, 91.5443344116211,
81.65287017822266, 48.2148323059082, 63.370121002197266,
10.626384735107422, 46.126625061035156, 77.22327423095703
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'div',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
-0.6358450651168823, -1.3840086460113525, 0.22848258912563324,
0.22211983799934387, 0.16934208571910858, -0.6614248752593994,
-0.6466212868690491, -7.071591854095459, -1.7074518203735352,
-15.478666305541992, -6.544795513153076, -0.036596786230802536,
0.3400382697582245, 0.046538159251213074, -1.1071529388427734,
0.19159291684627533, 0.5390679836273193, 0.18418607115745544,
0.058991268277168274, 0.9158834218978882, -0.20645710825920105,
4.193900108337402, -0.7564564943313599, -0.9594743251800537
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'div float32 2D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
60.42374038696289, -86.92247772216797, -19.496112823486328,
-15.150615692138672, 13.455190658569336, 45.433597564697266,
61.082862854003906, 70.71882629394531, -31.278579711914062,
56.08354187011719, 38.992767333984375, -3.27536940574646,
32.28932189941406, -3.676541805267334, 88.4349136352539,
14.369060516357422, 13.943194389343262, 16.861190795898438,
4.816806316375732, 44.15916442871094, -13.083211898803711,
44.56599807739258, -34.892784118652344, -74.09375
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
},
'inputB': {
'data': [
-95.0290298461914, 62.804866790771484, -85.32865905761719,
-68.20919799804688, 79.45568084716797, -68.69049072265625,
-94.46466827392578, -10.000411033630371, 18.318864822387695,
-3.6232800483703613, -5.957828044891357, 89.49882507324219,
94.9579086303711, -79.0005874633789, -79.87596893310547,
74.99787139892578, 25.865373611450195, 91.5443344116211,
81.65287017822266, 48.2148323059082, 63.370121002197266,
10.626384735107422, 46.126625061035156, 77.22327423095703
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'div',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
-0.6358450651168823, -1.3840086460113525, 0.22848258912563324,
0.22211983799934387, 0.16934208571910858, -0.6614248752593994,
-0.6466212868690491, -7.071591854095459, -1.7074518203735352,
-15.478666305541992, -6.544795513153076, -0.036596786230802536,
0.3400382697582245, 0.046538159251213074, -1.1071529388427734,
0.19159291684627533, 0.5390679836273193, 0.18418607115745544,
0.058991268277168274, 0.9158834218978882, -0.20645710825920105,
4.193900108337402, -0.7564564943313599, -0.9594743251800537
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
}
}
},
{
'name': 'div float32 3D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
60.42374038696289, -86.92247772216797, -19.496112823486328,
-15.150615692138672, 13.455190658569336, 45.433597564697266,
61.082862854003906, 70.71882629394531, -31.278579711914062,
56.08354187011719, 38.992767333984375, -3.27536940574646,
32.28932189941406, -3.676541805267334, 88.4349136352539,
14.369060516357422, 13.943194389343262, 16.861190795898438,
4.816806316375732, 44.15916442871094, -13.083211898803711,
44.56599807739258, -34.892784118652344, -74.09375
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
},
'inputB': {
'data': [
-95.0290298461914, 62.804866790771484, -85.32865905761719,
-68.20919799804688, 79.45568084716797, -68.69049072265625,
-94.46466827392578, -10.000411033630371, 18.318864822387695,
-3.6232800483703613, -5.957828044891357, 89.49882507324219,
94.9579086303711, -79.0005874633789, -79.87596893310547,
74.99787139892578, 25.865373611450195, 91.5443344116211,
81.65287017822266, 48.2148323059082, 63.370121002197266,
10.626384735107422, 46.126625061035156, 77.22327423095703
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'div',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
-0.6358450651168823, -1.3840086460113525, 0.22848258912563324,
0.22211983799934387, 0.16934208571910858, -0.6614248752593994,
-0.6466212868690491, -7.071591854095459, -1.7074518203735352,
-15.478666305541992, -6.544795513153076, -0.036596786230802536,
0.3400382697582245, 0.046538159251213074, -1.1071529388427734,
0.19159291684627533, 0.5390679836273193, 0.18418607115745544,
0.058991268277168274, 0.9158834218978882, -0.20645710825920105,
4.193900108337402, -0.7564564943313599, -0.9594743251800537
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
}
}
},
{
'name': 'div float32 4D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
60.42374038696289, -86.92247772216797, -19.496112823486328,
-15.150615692138672, 13.455190658569336, 45.433597564697266,
61.082862854003906, 70.71882629394531, -31.278579711914062,
56.08354187011719, 38.992767333984375, -3.27536940574646,
32.28932189941406, -3.676541805267334, 88.4349136352539,
14.369060516357422, 13.943194389343262, 16.861190795898438,
4.816806316375732, 44.15916442871094, -13.083211898803711,
44.56599807739258, -34.892784118652344, -74.09375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
-95.0290298461914, 62.804866790771484, -85.32865905761719,
-68.20919799804688, 79.45568084716797, -68.69049072265625,
-94.46466827392578, -10.000411033630371, 18.318864822387695,
-3.6232800483703613, -5.957828044891357, 89.49882507324219,
94.9579086303711, -79.0005874633789, -79.87596893310547,
74.99787139892578, 25.865373611450195, 91.5443344116211,
81.65287017822266, 48.2148323059082, 63.370121002197266,
10.626384735107422, 46.126625061035156, 77.22327423095703
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'div',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
-0.6358450651168823, -1.3840086460113525, 0.22848258912563324,
0.22211983799934387, 0.16934208571910858, -0.6614248752593994,
-0.6466212868690491, -7.071591854095459, -1.7074518203735352,
-15.478666305541992, -6.544795513153076, -0.036596786230802536,
0.3400382697582245, 0.046538159251213074, -1.1071529388427734,
0.19159291684627533, 0.5390679836273193, 0.18418607115745544,
0.058991268277168274, 0.9158834218978882, -0.20645710825920105,
4.193900108337402, -0.7564564943313599, -0.9594743251800537
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'div float32 5D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
60.42374038696289, -86.92247772216797, -19.496112823486328,
-15.150615692138672, 13.455190658569336, 45.433597564697266,
61.082862854003906, 70.71882629394531, -31.278579711914062,
56.08354187011719, 38.992767333984375, -3.27536940574646,
32.28932189941406, -3.676541805267334, 88.4349136352539,
14.369060516357422, 13.943194389343262, 16.861190795898438,
4.816806316375732, 44.15916442871094, -13.083211898803711,
44.56599807739258, -34.892784118652344, -74.09375
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
-95.0290298461914, 62.804866790771484, -85.32865905761719,
-68.20919799804688, 79.45568084716797, -68.69049072265625,
-94.46466827392578, -10.000411033630371, 18.318864822387695,
-3.6232800483703613, -5.957828044891357, 89.49882507324219,
94.9579086303711, -79.0005874633789, -79.87596893310547,
74.99787139892578, 25.865373611450195, 91.5443344116211,
81.65287017822266, 48.2148323059082, 63.370121002197266,
10.626384735107422, 46.126625061035156, 77.22327423095703
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'div',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
-0.6358450651168823, -1.3840086460113525, 0.22848258912563324,
0.22211983799934387, 0.16934208571910858, -0.6614248752593994,
-0.6466212868690491, -7.071591854095459, -1.7074518203735352,
-15.478666305541992, -6.544795513153076, -0.036596786230802536,
0.3400382697582245, 0.046538159251213074, -1.1071529388427734,
0.19159291684627533, 0.5390679836273193, 0.18418607115745544,
0.058991268277168274, 0.9158834218978882, -0.20645710825920105,
4.193900108337402, -0.7564564943313599, -0.9594743251800537
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'div float32 broadcast 1D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [-41.827415466308594],
'descriptor': {shape: [1], dataType: 'float32'}
},
'inputB': {
'data': [
60.42374038696289, -86.92247772216797, -19.496112823486328,
-15.150615692138672, 13.455190658569336, 45.433597564697266,
61.082862854003906, 70.71882629394531, -31.278579711914062,
56.08354187011719, 38.992767333984375, -3.27536940574646,
32.28932189941406, -3.676541805267334, 88.4349136352539,
14.369060516357422, 13.943194389343262, 16.861190795898438,
4.816806316375732, 44.15916442871094, -13.083211898803711,
44.56599807739258, -34.892784118652344, -74.09375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'div',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
-0.6922348141670227, 0.48120367527008057, 2.145423412322998,
2.7607734203338623, -3.10864520072937, -0.9206274151802063,
-0.6847651600837708, -0.5914608240127563, 1.337254285812378,
-0.7458055019378662, -1.0726968050003052, 12.770289421081543,
-1.2953946590423584, 11.376836776733398, -0.4729740023612976,
-2.910935878753662, -2.999844551086426, -2.48069167137146,
-8.683640480041504, -0.9471967220306396, 3.1970295906066895,
-0.9385499358177185, 1.19874107837677, 0.5645201802253723
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'div float32 broadcast 2D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [
60.42374038696289, -86.92247772216797, -19.496112823486328,
-15.150615692138672, 13.455190658569336, 45.433597564697266,
61.082862854003906, 70.71882629394531, -31.278579711914062,
56.08354187011719, 38.992767333984375, -3.27536940574646,
32.28932189941406, -3.676541805267334, 88.4349136352539,
14.369060516357422, 13.943194389343262, 16.861190795898438,
4.816806316375732, 44.15916442871094, -13.083211898803711,
44.56599807739258, -34.892784118652344, -74.09375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
97.32406616210938, 36.325218200683594, 26.037858963012695,
99.47166442871094, 10.395523071289062, -30.788942337036133
],
'descriptor': {shape: [2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'div',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
0.6208509802818298, -2.3928961753845215, -0.7487602233886719,
-0.15231086313724518, 1.2943254709243774, -1.4756466150283813,
0.627623438835144, 1.946824550628662, -1.2012730836868286,
0.5638142228126526, 3.7509193420410156, 0.106381356716156,
0.33177119493484497, -0.10121183097362518, 3.396397352218628,
0.14445380866527557, 1.3412691354751587, -0.5476378798484802,
0.049492448568344116, 1.2156614065170288, -0.5024688243865967,
0.4480270743370056, -3.356520175933838, 2.4065051078796387
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'div float32 broadcast 3D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [
60.42374038696289, -86.92247772216797, -19.496112823486328,
-15.150615692138672, 13.455190658569336, 45.433597564697266,
61.082862854003906, 70.71882629394531, -31.278579711914062,
56.08354187011719, 38.992767333984375, -3.27536940574646,
32.28932189941406, -3.676541805267334, 88.4349136352539,
14.369060516357422, 13.943194389343262, 16.861190795898438,
4.816806316375732, 44.15916442871094, -13.083211898803711,
44.56599807739258, -34.892784118652344, -74.09375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
75.08295440673828, -46.22666931152344, 15.761880874633789,
8.9222993850708
],
'descriptor': {shape: [2, 2, 1], dataType: 'float32'}
}
},
'operators': [{
'name': 'div',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
0.8047597408294678, -1.1576858758926392, -0.2596609592437744,
0.3277462124824524, -0.2910698652267456, -0.9828438758850098,
3.8753535747528076, 4.48669958114624, -1.9844446182250977,
6.285772323608398, 4.370259761810303, -0.36709925532341003,
0.4300486445426941, -0.04896639660000801, 1.177829384803772,
-0.3108392059803009, -0.30162662267684937, -0.36475029587745667,
0.3055984377861023, 2.801643133163452, -0.830053985118866,
4.994900703430176, -3.910738945007324, -8.304333686828613
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'div float32 broadcast 4D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [-41.827415466308594],
'descriptor': {shape: [1, 1, 1, 1], dataType: 'float32'}
},
'inputB': {
'data': [
60.42374038696289, -86.92247772216797, -19.496112823486328,
-15.150615692138672, 13.455190658569336, 45.433597564697266,
61.082862854003906, 70.71882629394531, -31.278579711914062,
56.08354187011719, 38.992767333984375, -3.27536940574646,
32.28932189941406, -3.676541805267334, 88.4349136352539,
14.369060516357422, 13.943194389343262, 16.861190795898438,
4.816806316375732, 44.15916442871094, -13.083211898803711,
44.56599807739258, -34.892784118652344, -74.09375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'div',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
-0.6922348141670227, 0.48120367527008057, 2.145423412322998,
2.7607734203338623, -3.10864520072937, -0.9206274151802063,
-0.6847651600837708, -0.5914608240127563, 1.337254285812378,
-0.7458055019378662, -1.0726968050003052, 12.770289421081543,
-1.2953946590423584, 11.376836776733398, -0.4729740023612976,
-2.910935878753662, -2.999844551086426, -2.48069167137146,
-8.683640480041504, -0.9471967220306396, 3.1970295906066895,
-0.9385499358177185, 1.19874107837677, 0.5645201802253723
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
}
];
if (navigator.ml) {
divTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getDivPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}