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// META: title=test WebNN API element-wise sin operation
// META: global=window
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// Compute the sine of the input tensor, element-wise.
//
// MLOperand sin(MLOperand input);
const getSinPrecisionTolerance = (graphResources) => {
const toleranceValueDict = {float32: 1 / 1024, float16: 1 / 512};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ATOL', value: toleranceValueDict[expectedDataType]};
};
const sinTests = [
{
'name': 'sin float32 0D scalar',
'graph': {
'inputs': {
'sinInput': {
'data': [79.78058624267578],
'descriptor': {shape: [], dataType: 'float32'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [-0.946033775806427],
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'sin float32 1D constant tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.78058624267578, 55.005733489990234, -28.052532196044922,
-31.64430046081543, 56.283756256103516, -96.18511962890625,
-72.99826049804688, -3.424182653427124, 84.02549743652344,
5.03037166595459, -9.512612342834473, 9.540593147277832,
-25.26725196838379, -20.831640243530273, -32.02475357055664,
-55.69102478027344, 15.927481651306152, -57.8835334777832,
31.016063690185547, -94.88304901123047, -84.58417510986328,
44.8487434387207, -19.000272750854492, -48.03827667236328
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.946033775806427, -0.9996118545532227, -0.21998752653598785,
-0.22639396786689758, -0.2618238627910614, -0.9335716366767883,
0.6754903197288513, 0.27884384989738464, 0.7156150341033936,
-0.9498680830001831, 0.08772148936986923, -0.11555644869804382,
-0.13410548865795135, -0.9166066646575928, -0.5719056725502014,
0.7563026547431946, -0.21775959432125092, -0.9722972512245178,
-0.38929200172424316, -0.59339439868927, -0.23656263947486877,
0.7620325684547424, -0.15014687180519104, 0.7921885848045349
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'sin float32 1D tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.78058624267578, 55.005733489990234, -28.052532196044922,
-31.64430046081543, 56.283756256103516, -96.18511962890625,
-72.99826049804688, -3.424182653427124, 84.02549743652344,
5.03037166595459, -9.512612342834473, 9.540593147277832,
-25.26725196838379, -20.831640243530273, -32.02475357055664,
-55.69102478027344, 15.927481651306152, -57.8835334777832,
31.016063690185547, -94.88304901123047, -84.58417510986328,
44.8487434387207, -19.000272750854492, -48.03827667236328
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.946033775806427, -0.9996118545532227, -0.21998752653598785,
-0.22639396786689758, -0.2618238627910614, -0.9335716366767883,
0.6754903197288513, 0.27884384989738464, 0.7156150341033936,
-0.9498680830001831, 0.08772148936986923, -0.11555644869804382,
-0.13410548865795135, -0.9166066646575928, -0.5719056725502014,
0.7563026547431946, -0.21775959432125092, -0.9722972512245178,
-0.38929200172424316, -0.59339439868927, -0.23656263947486877,
0.7620325684547424, -0.15014687180519104, 0.7921885848045349
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'sin float32 2D tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.78058624267578, 55.005733489990234, -28.052532196044922,
-31.64430046081543, 56.283756256103516, -96.18511962890625,
-72.99826049804688, -3.424182653427124, 84.02549743652344,
5.03037166595459, -9.512612342834473, 9.540593147277832,
-25.26725196838379, -20.831640243530273, -32.02475357055664,
-55.69102478027344, 15.927481651306152, -57.8835334777832,
31.016063690185547, -94.88304901123047, -84.58417510986328,
44.8487434387207, -19.000272750854492, -48.03827667236328
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.946033775806427, -0.9996118545532227, -0.21998752653598785,
-0.22639396786689758, -0.2618238627910614, -0.9335716366767883,
0.6754903197288513, 0.27884384989738464, 0.7156150341033936,
-0.9498680830001831, 0.08772148936986923, -0.11555644869804382,
-0.13410548865795135, -0.9166066646575928, -0.5719056725502014,
0.7563026547431946, -0.21775959432125092, -0.9722972512245178,
-0.38929200172424316, -0.59339439868927, -0.23656263947486877,
0.7620325684547424, -0.15014687180519104, 0.7921885848045349
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
}
}
},
{
'name': 'sin float32 3D tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.78058624267578, 55.005733489990234, -28.052532196044922,
-31.64430046081543, 56.283756256103516, -96.18511962890625,
-72.99826049804688, -3.424182653427124, 84.02549743652344,
5.03037166595459, -9.512612342834473, 9.540593147277832,
-25.26725196838379, -20.831640243530273, -32.02475357055664,
-55.69102478027344, 15.927481651306152, -57.8835334777832,
31.016063690185547, -94.88304901123047, -84.58417510986328,
44.8487434387207, -19.000272750854492, -48.03827667236328
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.946033775806427, -0.9996118545532227, -0.21998752653598785,
-0.22639396786689758, -0.2618238627910614, -0.9335716366767883,
0.6754903197288513, 0.27884384989738464, 0.7156150341033936,
-0.9498680830001831, 0.08772148936986923, -0.11555644869804382,
-0.13410548865795135, -0.9166066646575928, -0.5719056725502014,
0.7563026547431946, -0.21775959432125092, -0.9722972512245178,
-0.38929200172424316, -0.59339439868927, -0.23656263947486877,
0.7620325684547424, -0.15014687180519104, 0.7921885848045349
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
}
}
},
{
'name': 'sin float32 4D tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.78058624267578, 55.005733489990234, -28.052532196044922,
-31.64430046081543, 56.283756256103516, -96.18511962890625,
-72.99826049804688, -3.424182653427124, 84.02549743652344,
5.03037166595459, -9.512612342834473, 9.540593147277832,
-25.26725196838379, -20.831640243530273, -32.02475357055664,
-55.69102478027344, 15.927481651306152, -57.8835334777832,
31.016063690185547, -94.88304901123047, -84.58417510986328,
44.8487434387207, -19.000272750854492, -48.03827667236328
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.946033775806427, -0.9996118545532227, -0.21998752653598785,
-0.22639396786689758, -0.2618238627910614, -0.9335716366767883,
0.6754903197288513, 0.27884384989738464, 0.7156150341033936,
-0.9498680830001831, 0.08772148936986923, -0.11555644869804382,
-0.13410548865795135, -0.9166066646575928, -0.5719056725502014,
0.7563026547431946, -0.21775959432125092, -0.9722972512245178,
-0.38929200172424316, -0.59339439868927, -0.23656263947486877,
0.7620325684547424, -0.15014687180519104, 0.7921885848045349
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'sin float32 5D tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.78058624267578, 55.005733489990234, -28.052532196044922,
-31.64430046081543, 56.283756256103516, -96.18511962890625,
-72.99826049804688, -3.424182653427124, 84.02549743652344,
5.03037166595459, -9.512612342834473, 9.540593147277832,
-25.26725196838379, -20.831640243530273, -32.02475357055664,
-55.69102478027344, 15.927481651306152, -57.8835334777832,
31.016063690185547, -94.88304901123047, -84.58417510986328,
44.8487434387207, -19.000272750854492, -48.03827667236328
],
'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.946033775806427, -0.9996118545532227, -0.21998752653598785,
-0.22639396786689758, -0.2618238627910614, -0.9335716366767883,
0.6754903197288513, 0.27884384989738464, 0.7156150341033936,
-0.9498680830001831, 0.08772148936986923, -0.11555644869804382,
-0.13410548865795135, -0.9166066646575928, -0.5719056725502014,
0.7563026547431946, -0.21775959432125092, -0.9722972512245178,
-0.38929200172424316, -0.59339439868927, -0.23656263947486877,
0.7620325684547424, -0.15014687180519104, 0.7921885848045349
],
'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float32'}
}
}
}
},
// float16 tests
{
'name': 'sin float16 0D scalar',
'graph': {
'inputs': {
'sinInput':
{'data': [79.75], 'descriptor': {shape: [], dataType: 'float16'}}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [-0.935546875],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name': 'sin float16 1D constant tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.75, 55, -28.046875, -31.640625, 56.28125,
-96.1875, -73, -3.423828125, 84, 5.03125,
-9.515625, 9.5390625, -25.265625, -20.828125, -32.03125,
-55.6875, 15.9296875, -57.875, 31.015625, -94.875,
-84.5625, 44.84375, -19, -48.03125
],
'descriptor': {shape: [24], dataType: 'float16'},
'constant': true
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.935546875, -0.99951171875, -0.2254638671875,
-0.2227783203125, -0.26416015625, -0.9326171875,
0.6767578125, 0.278564453125, 0.7333984375,
-0.94970703125, 0.0906982421875, -0.114013671875,
-0.1324462890625, -0.91796875, -0.5771484375,
0.7587890625, -0.219970703125, -0.97021484375,
-0.3896484375, -0.5869140625, -0.257568359375,
0.7587890625, -0.14990234375, 0.7880859375
],
'descriptor': {shape: [24], dataType: 'float16'}
}
}
}
},
{
'name': 'sin float16 1D tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.75, 55, -28.046875, -31.640625, 56.28125,
-96.1875, -73, -3.423828125, 84, 5.03125,
-9.515625, 9.5390625, -25.265625, -20.828125, -32.03125,
-55.6875, 15.9296875, -57.875, 31.015625, -94.875,
-84.5625, 44.84375, -19, -48.03125
],
'descriptor': {shape: [24], dataType: 'float16'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.935546875, -0.99951171875, -0.2254638671875,
-0.2227783203125, -0.26416015625, -0.9326171875,
0.6767578125, 0.278564453125, 0.7333984375,
-0.94970703125, 0.0906982421875, -0.114013671875,
-0.1324462890625, -0.91796875, -0.5771484375,
0.7587890625, -0.219970703125, -0.97021484375,
-0.3896484375, -0.5869140625, -0.257568359375,
0.7587890625, -0.14990234375, 0.7880859375
],
'descriptor': {shape: [24], dataType: 'float16'}
}
}
}
},
{
'name': 'sin float16 2D tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.75, 55, -28.046875, -31.640625, 56.28125,
-96.1875, -73, -3.423828125, 84, 5.03125,
-9.515625, 9.5390625, -25.265625, -20.828125, -32.03125,
-55.6875, 15.9296875, -57.875, 31.015625, -94.875,
-84.5625, 44.84375, -19, -48.03125
],
'descriptor': {shape: [4, 6], dataType: 'float16'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.935546875, -0.99951171875, -0.2254638671875,
-0.2227783203125, -0.26416015625, -0.9326171875,
0.6767578125, 0.278564453125, 0.7333984375,
-0.94970703125, 0.0906982421875, -0.114013671875,
-0.1324462890625, -0.91796875, -0.5771484375,
0.7587890625, -0.219970703125, -0.97021484375,
-0.3896484375, -0.5869140625, -0.257568359375,
0.7587890625, -0.14990234375, 0.7880859375
],
'descriptor': {shape: [4, 6], dataType: 'float16'}
}
}
}
},
{
'name': 'sin float16 3D tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.75, 55, -28.046875, -31.640625, 56.28125,
-96.1875, -73, -3.423828125, 84, 5.03125,
-9.515625, 9.5390625, -25.265625, -20.828125, -32.03125,
-55.6875, 15.9296875, -57.875, 31.015625, -94.875,
-84.5625, 44.84375, -19, -48.03125
],
'descriptor': {shape: [2, 3, 4], dataType: 'float16'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.935546875, -0.99951171875, -0.2254638671875,
-0.2227783203125, -0.26416015625, -0.9326171875,
0.6767578125, 0.278564453125, 0.7333984375,
-0.94970703125, 0.0906982421875, -0.114013671875,
-0.1324462890625, -0.91796875, -0.5771484375,
0.7587890625, -0.219970703125, -0.97021484375,
-0.3896484375, -0.5869140625, -0.257568359375,
0.7587890625, -0.14990234375, 0.7880859375
],
'descriptor': {shape: [2, 3, 4], dataType: 'float16'}
}
}
}
},
{
'name': 'sin float16 4D tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.75, 55, -28.046875, -31.640625, 56.28125,
-96.1875, -73, -3.423828125, 84, 5.03125,
-9.515625, 9.5390625, -25.265625, -20.828125, -32.03125,
-55.6875, 15.9296875, -57.875, 31.015625, -94.875,
-84.5625, 44.84375, -19, -48.03125
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.935546875, -0.99951171875, -0.2254638671875,
-0.2227783203125, -0.26416015625, -0.9326171875,
0.6767578125, 0.278564453125, 0.7333984375,
-0.94970703125, 0.0906982421875, -0.114013671875,
-0.1324462890625, -0.91796875, -0.5771484375,
0.7587890625, -0.219970703125, -0.97021484375,
-0.3896484375, -0.5869140625, -0.257568359375,
0.7587890625, -0.14990234375, 0.7880859375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
}
}
},
{
'name': 'sin float16 5D tensor',
'graph': {
'inputs': {
'sinInput': {
'data': [
79.75, 55, -28.046875, -31.640625, 56.28125,
-96.1875, -73, -3.423828125, 84, 5.03125,
-9.515625, 9.5390625, -25.265625, -20.828125, -32.03125,
-55.6875, 15.9296875, -57.875, 31.015625, -94.875,
-84.5625, 44.84375, -19, -48.03125
],
'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'sin',
'arguments': [{'input': 'sinInput'}],
'outputs': 'sinOutput'
}],
'expectedOutputs': {
'sinOutput': {
'data': [
-0.935546875, -0.99951171875, -0.2254638671875,
-0.2227783203125, -0.26416015625, -0.9326171875,
0.6767578125, 0.278564453125, 0.7333984375,
-0.94970703125, 0.0906982421875, -0.114013671875,
-0.1324462890625, -0.91796875, -0.5771484375,
0.7587890625, -0.219970703125, -0.97021484375,
-0.3896484375, -0.5869140625, -0.257568359375,
0.7587890625, -0.14990234375, 0.7880859375
],
'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float16'}
}
}
}
}
];
if (navigator.ml) {
sinTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getSinPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}