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/reverse.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reverse.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reverse.https.any.html?npu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reverse.https.any.worker.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reverse.https.any.worker.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reverse.https.any.worker.html?npu - WPT Dashboard Interop Dashboard
// META: title=test WebNN API reverse operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// Reverse the order of the input tensor along specified axes.
//
// dictionary MLReverseOptions : MLOperatorOptions {
// sequence<[EnforceRange] unsigned long> axes;
// };
//
// MLOperand reverse(MLOperand input, optional MLReverseOptions options = {});
const reverseTests = [
{
'name': 'reverse float32 2D input with default options',
'graph': {
'inputs': {
'reverseInput': {
'data': [
-30.0561466217041, 99.56941986083984, 88.04620361328125,
-91.87507629394531, -23.7972354888916, -91.28665161132812,
-63.15204620361328, 12.0669527053833, -96.1172866821289,
-44.77365493774414, -80.08650970458984, -64.43756866455078
],
'descriptor': {shape: [3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'reverse',
'arguments': [{'input': 'reverseInput'}],
'outputs': 'reverseOutput'
}],
'expectedOutputs': {
'reverseOutput': {
'data': [
-64.43756866455078, -80.08650970458984, -44.77365493774414,
-96.1172866821289, 12.0669527053833, -63.15204620361328,
-91.28665161132812, -23.7972354888916, -91.87507629394531,
88.04620361328125, 99.56941986083984, -30.0561466217041
],
'descriptor': {shape: [3, 4], dataType: 'float32'}
}
}
}
},
{
'name': 'reverse float32 3D input options.axes=[1, 2]',
'graph': {
'inputs': {
'reverseInput': {
'data': [
-30.0561466217041, 99.56941986083984, 88.04620361328125,
-91.87507629394531, -23.7972354888916, -91.28665161132812,
-63.15204620361328, 12.0669527053833, -96.1172866821289,
-44.77365493774414, -80.08650970458984, -64.43756866455078
],
'descriptor': {shape: [3, 2, 2], dataType: 'float32'}
}
},
'operators': [{
'name': 'reverse',
'arguments': [{'input': 'reverseInput'}, {'options': {'axes': [1, 2]}}],
'outputs': 'reverseOutput'
}],
'expectedOutputs': {
'reverseOutput': {
'data': [
-91.87507629394531, 88.04620361328125, 99.56941986083984,
-30.0561466217041, 12.0669527053833, -63.15204620361328,
-91.28665161132812, -23.7972354888916, -64.43756866455078,
-80.08650970458984, -44.77365493774414, -96.1172866821289
],
'descriptor': {shape: [3, 2, 2], dataType: 'float32'}
}
}
}
},
{
'name': 'reverse float32 4D input options.axes=[3, 1]',
'graph': {
'inputs': {
'reverseInput': {
'data': [
-30.0561466217041, 99.56941986083984, 88.04620361328125,
-91.87507629394531, -23.7972354888916, -91.28665161132812,
-63.15204620361328, 12.0669527053833, -96.1172866821289,
-44.77365493774414, -80.08650970458984, -64.43756866455078
],
'descriptor': {shape: [3, 2, 1, 2], dataType: 'float32'}
}
},
'operators': [{
'name': 'reverse',
'arguments': [{'input': 'reverseInput'}, {'options': {'axes': [3, 1]}}],
'outputs': 'reverseOutput'
}],
'expectedOutputs': {
'reverseOutput': {
'data': [
-91.87507629394531, 88.04620361328125, 99.56941986083984,
-30.0561466217041, 12.0669527053833, -63.15204620361328,
-91.28665161132812, -23.7972354888916, -64.43756866455078,
-80.08650970458984, -44.77365493774414, -96.1172866821289
],
'descriptor': {shape: [3, 2, 1, 2], dataType: 'float32'}
}
}
}
},
{
'name': 'reverse float32 4D input options.axes=[]',
'graph': {
'inputs': {
'reverseInput': {
'data': [
-30.0561466217041, 99.56941986083984, 88.04620361328125,
-91.87507629394531, -23.7972354888916, -91.28665161132812,
-63.15204620361328, 12.0669527053833, -96.1172866821289,
-44.77365493774414, -80.08650970458984, -64.43756866455078
],
'descriptor': {shape: [2, 1, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'reverse',
'arguments': [{'input': 'reverseInput'}, {'options': {'axes': []}}],
'outputs': 'reverseOutput'
}],
'expectedOutputs': {
'reverseOutput': {
'data': [
-30.0561466217041, 99.56941986083984, 88.04620361328125,
-91.87507629394531, -23.7972354888916, -91.28665161132812,
-63.15204620361328, 12.0669527053833, -96.1172866821289,
-44.77365493774414, -80.08650970458984, -64.43756866455078
],
'descriptor': {shape: [2, 1, 2, 3], dataType: 'float32'}
}
}
}
}
];
if (navigator.ml) {
reverseTests.forEach((test) => {
webnn_conformance_test(buildAndExecuteGraph, getPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}