Source code
Revision control
Copy as Markdown
Other Tools
Test Info:
- This WPT test may be referenced by the following Test IDs:
- /webnn/conformance_tests/sub.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/sub.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/sub.https.any.html?npu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/sub.https.any.worker.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/sub.https.any.worker.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/sub.https.any.worker.html?npu - WPT Dashboard Interop Dashboard
// META: title=test WebNN API element-wise sub 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 subtraction of the two input tensors.
// MLOperand sub(MLOperand a, MLOperand b);
const getSubPrecisionTolerance = (graphResources) => {
const toleranceValueDict = {float32: 1, float16: 1};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
};
const subTests = [
{
'name': 'sub float32 1D constant tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
73.59273529052734, 14.4846830368042, -69.40201568603516,
-52.045284271240234, -75.7813720703125, -2.2740514278411865,
-83.29907989501953, 15.57776927947998, -62.7008056640625,
32.954002380371094, 82.55709075927734, -74.90638732910156,
78.22299194335938, 48.39240264892578, -19.153541564941406,
-85.93221282958984, 89.12355041503906, 22.874629974365234,
80.56973266601562, 97.62598419189453, 52.74850845336914,
89.1660385131836, -20.50341796875, 99.48707580566406
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
},
'inputB': {
'data': [
-49.12813186645508, 40.189292907714844, 7.224666595458984,
89.26004791259766, -81.43340301513672, 59.61166000366211,
11.234410285949707, 48.884056091308594, 85.26825714111328,
27.695297241210938, 30.98945426940918, -38.12903594970703,
-83.14810180664062, -86.16175079345703, 16.75888442993164,
46.12889862060547, -28.432477951049805, 28.229337692260742,
35.2364616394043, -77.05516815185547, -57.8714714050293,
-58.15085983276367, 27.488866806030273, 31.99802017211914
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'sub',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
122.72087097167969, -25.704608917236328, -76.62667846679688,
-141.30532836914062, 5.652030944824219, -61.885711669921875,
-94.53349304199219, -33.3062858581543, -147.96905517578125,
5.258705139160156, 51.56763458251953, -36.77735137939453,
161.37109375, 134.5541534423828, -35.91242599487305,
-132.0611114501953, 117.5560302734375, -5.354707717895508,
45.33327102661133, 174.68115234375, 110.61997985839844,
147.31689453125, -47.992286682128906, 67.48905944824219
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'sub float32 1D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
73.59273529052734, 14.4846830368042, -69.40201568603516,
-52.045284271240234, -75.7813720703125, -2.2740514278411865,
-83.29907989501953, 15.57776927947998, -62.7008056640625,
32.954002380371094, 82.55709075927734, -74.90638732910156,
78.22299194335938, 48.39240264892578, -19.153541564941406,
-85.93221282958984, 89.12355041503906, 22.874629974365234,
80.56973266601562, 97.62598419189453, 52.74850845336914,
89.1660385131836, -20.50341796875, 99.48707580566406
],
'descriptor': {shape: [24], dataType: 'float32'}
},
'inputB': {
'data': [
-49.12813186645508, 40.189292907714844, 7.224666595458984,
89.26004791259766, -81.43340301513672, 59.61166000366211,
11.234410285949707, 48.884056091308594, 85.26825714111328,
27.695297241210938, 30.98945426940918, -38.12903594970703,
-83.14810180664062, -86.16175079345703, 16.75888442993164,
46.12889862060547, -28.432477951049805, 28.229337692260742,
35.2364616394043, -77.05516815185547, -57.8714714050293,
-58.15085983276367, 27.488866806030273, 31.99802017211914
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'sub',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
122.72087097167969, -25.704608917236328, -76.62667846679688,
-141.30532836914062, 5.652030944824219, -61.885711669921875,
-94.53349304199219, -33.3062858581543, -147.96905517578125,
5.258705139160156, 51.56763458251953, -36.77735137939453,
161.37109375, 134.5541534423828, -35.91242599487305,
-132.0611114501953, 117.5560302734375, -5.354707717895508,
45.33327102661133, 174.68115234375, 110.61997985839844,
147.31689453125, -47.992286682128906, 67.48905944824219
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'sub float32 2D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
73.59273529052734, 14.4846830368042, -69.40201568603516,
-52.045284271240234, -75.7813720703125, -2.2740514278411865,
-83.29907989501953, 15.57776927947998, -62.7008056640625,
32.954002380371094, 82.55709075927734, -74.90638732910156,
78.22299194335938, 48.39240264892578, -19.153541564941406,
-85.93221282958984, 89.12355041503906, 22.874629974365234,
80.56973266601562, 97.62598419189453, 52.74850845336914,
89.1660385131836, -20.50341796875, 99.48707580566406
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
},
'inputB': {
'data': [
-49.12813186645508, 40.189292907714844, 7.224666595458984,
89.26004791259766, -81.43340301513672, 59.61166000366211,
11.234410285949707, 48.884056091308594, 85.26825714111328,
27.695297241210938, 30.98945426940918, -38.12903594970703,
-83.14810180664062, -86.16175079345703, 16.75888442993164,
46.12889862060547, -28.432477951049805, 28.229337692260742,
35.2364616394043, -77.05516815185547, -57.8714714050293,
-58.15085983276367, 27.488866806030273, 31.99802017211914
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'sub',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
122.72087097167969, -25.704608917236328, -76.62667846679688,
-141.30532836914062, 5.652030944824219, -61.885711669921875,
-94.53349304199219, -33.3062858581543, -147.96905517578125,
5.258705139160156, 51.56763458251953, -36.77735137939453,
161.37109375, 134.5541534423828, -35.91242599487305,
-132.0611114501953, 117.5560302734375, -5.354707717895508,
45.33327102661133, 174.68115234375, 110.61997985839844,
147.31689453125, -47.992286682128906, 67.48905944824219
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
}
}
},
{
'name': 'sub float32 3D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
73.59273529052734, 14.4846830368042, -69.40201568603516,
-52.045284271240234, -75.7813720703125, -2.2740514278411865,
-83.29907989501953, 15.57776927947998, -62.7008056640625,
32.954002380371094, 82.55709075927734, -74.90638732910156,
78.22299194335938, 48.39240264892578, -19.153541564941406,
-85.93221282958984, 89.12355041503906, 22.874629974365234,
80.56973266601562, 97.62598419189453, 52.74850845336914,
89.1660385131836, -20.50341796875, 99.48707580566406
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
},
'inputB': {
'data': [
-49.12813186645508, 40.189292907714844, 7.224666595458984,
89.26004791259766, -81.43340301513672, 59.61166000366211,
11.234410285949707, 48.884056091308594, 85.26825714111328,
27.695297241210938, 30.98945426940918, -38.12903594970703,
-83.14810180664062, -86.16175079345703, 16.75888442993164,
46.12889862060547, -28.432477951049805, 28.229337692260742,
35.2364616394043, -77.05516815185547, -57.8714714050293,
-58.15085983276367, 27.488866806030273, 31.99802017211914
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'sub',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
122.72087097167969, -25.704608917236328, -76.62667846679688,
-141.30532836914062, 5.652030944824219, -61.885711669921875,
-94.53349304199219, -33.3062858581543, -147.96905517578125,
5.258705139160156, 51.56763458251953, -36.77735137939453,
161.37109375, 134.5541534423828, -35.91242599487305,
-132.0611114501953, 117.5560302734375, -5.354707717895508,
45.33327102661133, 174.68115234375, 110.61997985839844,
147.31689453125, -47.992286682128906, 67.48905944824219
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
}
}
},
{
'name': 'sub float32 4D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
73.59273529052734, 14.4846830368042, -69.40201568603516,
-52.045284271240234, -75.7813720703125, -2.2740514278411865,
-83.29907989501953, 15.57776927947998, -62.7008056640625,
32.954002380371094, 82.55709075927734, -74.90638732910156,
78.22299194335938, 48.39240264892578, -19.153541564941406,
-85.93221282958984, 89.12355041503906, 22.874629974365234,
80.56973266601562, 97.62598419189453, 52.74850845336914,
89.1660385131836, -20.50341796875, 99.48707580566406
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
-49.12813186645508, 40.189292907714844, 7.224666595458984,
89.26004791259766, -81.43340301513672, 59.61166000366211,
11.234410285949707, 48.884056091308594, 85.26825714111328,
27.695297241210938, 30.98945426940918, -38.12903594970703,
-83.14810180664062, -86.16175079345703, 16.75888442993164,
46.12889862060547, -28.432477951049805, 28.229337692260742,
35.2364616394043, -77.05516815185547, -57.8714714050293,
-58.15085983276367, 27.488866806030273, 31.99802017211914
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'sub',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
122.72087097167969, -25.704608917236328, -76.62667846679688,
-141.30532836914062, 5.652030944824219, -61.885711669921875,
-94.53349304199219, -33.3062858581543, -147.96905517578125,
5.258705139160156, 51.56763458251953, -36.77735137939453,
161.37109375, 134.5541534423828, -35.91242599487305,
-132.0611114501953, 117.5560302734375, -5.354707717895508,
45.33327102661133, 174.68115234375, 110.61997985839844,
147.31689453125, -47.992286682128906, 67.48905944824219
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'sub float32 5D tensors',
'graph': {
'inputs': {
'inputA': {
'data': [
73.59273529052734, 14.4846830368042, -69.40201568603516,
-52.045284271240234, -75.7813720703125, -2.2740514278411865,
-83.29907989501953, 15.57776927947998, -62.7008056640625,
32.954002380371094, 82.55709075927734, -74.90638732910156,
78.22299194335938, 48.39240264892578, -19.153541564941406,
-85.93221282958984, 89.12355041503906, 22.874629974365234,
80.56973266601562, 97.62598419189453, 52.74850845336914,
89.1660385131836, -20.50341796875, 99.48707580566406
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
-49.12813186645508, 40.189292907714844, 7.224666595458984,
89.26004791259766, -81.43340301513672, 59.61166000366211,
11.234410285949707, 48.884056091308594, 85.26825714111328,
27.695297241210938, 30.98945426940918, -38.12903594970703,
-83.14810180664062, -86.16175079345703, 16.75888442993164,
46.12889862060547, -28.432477951049805, 28.229337692260742,
35.2364616394043, -77.05516815185547, -57.8714714050293,
-58.15085983276367, 27.488866806030273, 31.99802017211914
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'sub',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
122.72087097167969, -25.704608917236328, -76.62667846679688,
-141.30532836914062, 5.652030944824219, -61.885711669921875,
-94.53349304199219, -33.3062858581543, -147.96905517578125,
5.258705139160156, 51.56763458251953, -36.77735137939453,
161.37109375, 134.5541534423828, -35.91242599487305,
-132.0611114501953, 117.5560302734375, -5.354707717895508,
45.33327102661133, 174.68115234375, 110.61997985839844,
147.31689453125, -47.992286682128906, 67.48905944824219
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'sub float32 broadcast 1D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [-97.04911804199219],
'descriptor': {shape: [1], dataType: 'float32'}
},
'inputB': {
'data': [
73.59273529052734, 14.4846830368042, -69.40201568603516,
-52.045284271240234, -75.7813720703125, -2.2740514278411865,
-83.29907989501953, 15.57776927947998, -62.7008056640625,
32.954002380371094, 82.55709075927734, -74.90638732910156,
78.22299194335938, 48.39240264892578, -19.153541564941406,
-85.93221282958984, 89.12355041503906, 22.874629974365234,
80.56973266601562, 97.62598419189453, 52.74850845336914,
89.1660385131836, -20.50341796875, 99.48707580566406
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'sub',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
-170.641845703125, -111.53379821777344, -27.64710235595703,
-45.00383377075195, -21.267745971679688, -94.77507019042969,
-13.750038146972656, -112.62688446044922, -34.34831237792969,
-130.00311279296875, -179.606201171875, -22.142730712890625,
-175.27210998535156, -145.4415283203125, -77.89557647705078,
-11.116905212402344, -186.17266845703125, -119.92375183105469,
-177.6188507080078, -194.67510986328125, -149.79762268066406,
-186.21514892578125, -76.54570007324219, -196.53619384765625
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'sub float32 broadcast 2D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [
73.59273529052734, 14.4846830368042, -69.40201568603516,
-52.045284271240234, -75.7813720703125, -2.2740514278411865,
-83.29907989501953, 15.57776927947998, -62.7008056640625,
32.954002380371094, 82.55709075927734, -74.90638732910156,
78.22299194335938, 48.39240264892578, -19.153541564941406,
-85.93221282958984, 89.12355041503906, 22.874629974365234,
80.56973266601562, 97.62598419189453, 52.74850845336914,
89.1660385131836, -20.50341796875, 99.48707580566406
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
10.762838363647461, -90.23992156982422, 12.787367820739746,
-62.44633865356445, 32.18257522583008, 20.359493255615234
],
'descriptor': {shape: [2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'sub',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
62.82989501953125, 104.72460174560547, -82.18938446044922,
10.401054382324219, -107.96394348144531, -22.633544921875,
-94.06192016601562, 105.81768798828125, -75.48817443847656,
95.40034484863281, 50.374515533447266, -95.26588439941406,
67.46015167236328, 138.63232421875, -31.94091033935547,
-23.48587417602539, 56.940975189208984, 2.51513671875,
69.80689239501953, 187.86590576171875, 39.96113967895508,
151.6123809814453, -52.68599319458008, 79.12757873535156
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'sub float32 broadcast 3D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [
73.59273529052734, 14.4846830368042, -69.40201568603516,
-52.045284271240234, -75.7813720703125, -2.2740514278411865,
-83.29907989501953, 15.57776927947998, -62.7008056640625,
32.954002380371094, 82.55709075927734, -74.90638732910156,
78.22299194335938, 48.39240264892578, -19.153541564941406,
-85.93221282958984, 89.12355041503906, 22.874629974365234,
80.56973266601562, 97.62598419189453, 52.74850845336914,
89.1660385131836, -20.50341796875, 99.48707580566406
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
},
'inputB': {
'data': [
-8.39311408996582, 75.54753112792969, -32.325870513916016,
8.088332176208496
],
'descriptor': {shape: [2, 2, 1], dataType: 'float32'}
}
},
'operators': [{
'name': 'sub',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
81.98584747314453, 22.877796173095703, -61.00890350341797,
-127.59281921386719, -151.3289031982422, -77.82157897949219,
-50.973209381103516, 47.90364074707031, -30.374935150146484,
24.86566925048828, 74.46875762939453, -82.99472045898438,
86.61610412597656, 56.78551483154297, -10.760427474975586,
-161.479736328125, 13.576019287109375, -52.67290115356445,
112.89559936523438, 129.9518585205078, 85.07437896728516,
81.07770538330078, -28.591751098632812, 91.39874267578125
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'sub float32 broadcast 4D to 4D',
'graph': {
'inputs': {
'inputA': {
'data': [-97.04911804199219],
'descriptor': {shape: [1, 1, 1, 1], dataType: 'float32'}
},
'inputB': {
'data': [
73.59273529052734, 14.4846830368042, -69.40201568603516,
-52.045284271240234, -75.7813720703125, -2.2740514278411865,
-83.29907989501953, 15.57776927947998, -62.7008056640625,
32.954002380371094, 82.55709075927734, -74.90638732910156,
78.22299194335938, 48.39240264892578, -19.153541564941406,
-85.93221282958984, 89.12355041503906, 22.874629974365234,
80.56973266601562, 97.62598419189453, 52.74850845336914,
89.1660385131836, -20.50341796875, 99.48707580566406
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'sub',
'arguments': [{'a': 'inputA'}, {'b': 'inputB'}],
'outputs': 'output'
}],
'expectedOutputs': {
'output': {
'data': [
-170.641845703125, -111.53379821777344, -27.64710235595703,
-45.00383377075195, -21.267745971679688, -94.77507019042969,
-13.750038146972656, -112.62688446044922, -34.34831237792969,
-130.00311279296875, -179.606201171875, -22.142730712890625,
-175.27210998535156, -145.4415283203125, -77.89557647705078,
-11.116905212402344, -186.17266845703125, -119.92375183105469,
-177.6188507080078, -194.67510986328125, -149.79762268066406,
-186.21514892578125, -76.54570007324219, -196.53619384765625
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
}
];
if (navigator.ml) {
subTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getSubPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}