// META: title=test WebNN API triangular operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// https://www.w3.org/TR/webnn/#api-mlgraphbuilder-triangular
// Given a 2-D tensor (matrix), return a 2-D tensor containing either the upper
// or lower triangular part of the input tensor. If the input tensor has greater
// than 2 dimensions it is treated as a batch of matrices and the result has the
// same shape.
//
// dictionary MLTriangularOptions {
// boolean upper = true;
// [EnforceRange] long diagonal = 0;
// };
//
// MLOperand triangular(
// MLOperand input, optional MLTriangularOptions options = {});
const getTriangularPrecisionTolerance = (graphResources) => {
const toleranceValueDict = {float32: 0, float16: 0};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
};
const triangularTests = [
{
'name': 'triangular float32 2D tensor default options',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [4, 6], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments': [{'input': 'triangularInput'}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336,
-86.21631622314453,
50.38116455078125,
-98.47772216796875,
-94.51172637939453,
-21.42218589782715,
0,
-50.355342864990234,
-37.015724182128906,
97.25071716308594,
73.36241149902344,
-75.12358856201172,
0,
0,
-29.916187286376953,
67.48285675048828,
42.132598876953125,
-70.27587127685547,
0,
0,
0,
-88.97057342529297,
77.58269500732422,
91.03327178955078
],
'descriptor': {'dimensions': [4, 6], 'dataType': 'float32'}
}
}
}
},
{
'name': 'triangular float32 3D tensor default options',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 3, 4], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments': [{'input': 'triangularInput'}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336,
-86.21631622314453,
50.38116455078125,
-98.47772216796875,
0,
-21.42218589782715,
24.678754806518555,
-50.355342864990234,
0,
0,
73.36241149902344,
-75.12358856201172,
41.64348602294922,
58.862911224365234,
-29.916187286376953,
67.48285675048828,
0,
-70.27587127685547,
20.88446617126465,
71.37139892578125,
0,
0,
77.58269500732422,
91.03327178955078
],
'descriptor': {'dimensions': [2, 3, 4], 'dataType': 'float32'}
}
}
}
},
{
'name': 'triangular float32 4D tensor default options',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments': [{'input': 'triangularInput'}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336, -86.21631622314453,
50.38116455078125, 0,
-94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234,
-37.015724182128906, 0,
73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234,
-29.916187286376953, 0,
42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125,
-84.96932220458984, 0,
77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name': 'triangular float32 5D tensor default options',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 1, 4, 1, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments': [{'input': 'triangularInput'}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 1, 4, 1, 3], 'dataType': 'float32'}
}
}
}
},
{
'name': 'triangular float32 4D tensor explict options.upper=true',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments':
[{'input': 'triangularInput'}, {'options': {'upper': true}}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336, -86.21631622314453,
50.38116455078125, 0,
-94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234,
-37.015724182128906, 0,
73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234,
-29.916187286376953, 0,
42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125,
-84.96932220458984, 0,
77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name': 'triangular float32 4D tensor options.upper=false',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments':
[{'input': 'triangularInput'}, {'options': {'upper': false}}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336,
0,
0,
-98.47772216796875,
-94.51172637939453,
0,
24.678754806518555,
0,
0,
97.25071716308594,
73.36241149902344,
0,
41.64348602294922,
0,
0,
67.48285675048828,
42.132598876953125,
0,
20.88446617126465,
0,
0,
-88.97057342529297,
77.58269500732422,
0
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name': 'triangular float32 4D tensor explict options.diagonal=0',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments':
[{'input': 'triangularInput'}, {'options': {'diagonal': 0}}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336, -86.21631622314453,
50.38116455078125, 0,
-94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234,
-37.015724182128906, 0,
73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234,
-29.916187286376953, 0,
42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125,
-84.96932220458984, 0,
77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name': 'triangular float32 4D tensor options.diagonal=1',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments':
[{'input': 'triangularInput'}, {'options': {'diagonal': 1}}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
0,
-86.21631622314453,
50.38116455078125,
0,
0,
-21.42218589782715,
0,
-50.355342864990234,
-37.015724182128906,
0,
0,
-75.12358856201172,
0,
58.862911224365234,
-29.916187286376953,
0,
0,
-70.27587127685547,
0,
71.37139892578125,
-84.96932220458984,
0,
0,
91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name': 'triangular float32 4D tensor options.diagonal=-1',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments':
[{'input': 'triangularInput'}, {'options': {'diagonal': -1}}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name': 'triangular float32 4D tensor fully zero options.diagonal=3',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments':
[{'input': 'triangularInput'}, {'options': {'diagonal': 3}}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name': 'triangular float32 4D tensor fully copied options.diagonal=-2',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments':
[{'input': 'triangularInput'}, {'options': {'diagonal': -2}}],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name':
'triangular float32 4D tensor options.upper=true options.diagonal=1',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments': [
{'input': 'triangularInput'},
{'options': {'upper': true, 'diagonal': 1}}
],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
0,
-86.21631622314453,
50.38116455078125,
0,
0,
-21.42218589782715,
0,
-50.355342864990234,
-37.015724182128906,
0,
0,
-75.12358856201172,
0,
58.862911224365234,
-29.916187286376953,
0,
0,
-70.27587127685547,
0,
71.37139892578125,
-84.96932220458984,
0,
0,
91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name':
'triangular float32 4D tensor options.upper=false options.diagonal=1',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments': [
{'input': 'triangularInput'},
{'options': {'upper': false, 'diagonal': 1}}
],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336, -86.21631622314453, 0,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, 0,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, 0,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, 0,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name':
'triangular float32 4D tensor options.upper=false options.diagonal=-1',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments': [
{'input': 'triangularInput'},
{'options': {'upper': false, 'diagonal': -1}}
],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
0, 0, 0, -98.47772216796875, 0, 0,
0, 0, 0, 97.25071716308594, 0, 0,
0, 0, 0, 67.48285675048828, 0, 0,
0, 0, 0, -88.97057342529297, 0, 0
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name':
'triangular float32 4D tensor fully copied options.upper=false options.diagonal=3',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments': [
{'input': 'triangularInput'},
{'options': {'upper': false, 'diagonal': 3}}
],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
},
{
'name':
'triangular float32 4D tensor fully zero options.upper=false options.diagonal=-2',
'graph': {
'inputs': {
'triangularInput': {
'data': [
84.9194564819336, -86.21631622314453, 50.38116455078125,
-98.47772216796875, -94.51172637939453, -21.42218589782715,
24.678754806518555, -50.355342864990234, -37.015724182128906,
97.25071716308594, 73.36241149902344, -75.12358856201172,
41.64348602294922, 58.862911224365234, -29.916187286376953,
67.48285675048828, 42.132598876953125, -70.27587127685547,
20.88446617126465, 71.37139892578125, -84.96932220458984,
-88.97057342529297, 77.58269500732422, 91.03327178955078
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
},
'operators': [{
'name': 'triangular',
'arguments': [
{'input': 'triangularInput'},
{'options': {'upper': false, 'diagonal': -2}}
],
'outputs': 'triangularOutput'
}],
'expectedOutputs': {
'triangularOutput': {
'data': [
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
],
'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
}
}
}
}
];
if (navigator.ml) {
triangularTests.forEach((test) => {
webnn_conformance_test(
buildGraphAndCompute, getTriangularPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}
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