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Test Info:
- This WPT test may be referenced by the following Test IDs:
- /webnn/conformance_tests/reciprocal.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reciprocal.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reciprocal.https.any.html?npu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reciprocal.https.any.worker.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reciprocal.https.any.worker.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reciprocal.https.any.worker.html?npu - WPT Dashboard Interop Dashboard
// META: title=test WebNN API element-wise reciprocal 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 reciprocal of the input tensor, element-wise.
//
// MLOperand reciprocal(MLOperand input);
const getReciprocalPrecisionTolerance = (graphResources) => {
const toleranceValueDict = {float32: 2, float16: 2};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
};
const reciprocalTests = [
{
'name': 'reciprocal float32 0D scalar',
'graph': {
'inputs': {
'reciprocalInput': {
'data': [-9.36349105834961],
'descriptor': {shape: [], dataType: 'float32'}
}
},
'operators': [{
'name': 'reciprocal',
'arguments': [{'input': 'reciprocalInput'}],
'outputs': 'reciprocalOutput'
}],
'expectedOutputs': {
'reciprocalOutput': {
'data': [-0.10679777711629868],
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'reciprocal float32 1D constant tensor',
'graph': {
'inputs': {
'reciprocalInput': {
'data': [
-1.0110862255096436, 4.6215386390686035, 2.417376756668091,
-8.934871673583984, -3.3485584259033203, -8.803302764892578,
8.826321601867676, 6.572828769683838, 6.639494895935059,
2.6842703819274902, -4.627160549163818, -6.873653411865234,
-1.1854121685028076, 0.9572811722755432, 0.02132055163383484,
0.35645851492881775, 4.827780246734619, 1.3128081560134888,
8.246277809143066, -0.2039169818162918, -9.039937019348145,
9.942809104919434, -9.540112495422363, -0.08022662252187729
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'reciprocal',
'arguments': [{'input': 'reciprocalInput'}],
'outputs': 'reciprocalOutput'
}],
'expectedOutputs': {
'reciprocalOutput': {
'data': [
-0.9890353083610535, 0.21637815237045288, 0.4136715531349182,
-0.111921027302742, -0.29863595962524414, -0.11359372735023499,
0.1132974773645401, 0.1521414965391159, 0.15061387419700623,
0.3725407123565674, -0.21611526608467102, -0.14548304677009583,
-0.8435884118080139, 1.044625163078308, 46.90310287475586,
2.805375576019287, 0.20713452994823456, 0.761725902557373,
0.12126683443784714, -4.903956413269043, -0.11062023788690567,
0.10057520121335983, -0.10482056438922882, -12.464690208435059
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'reciprocal float32 1D tensor',
'graph': {
'inputs': {
'reciprocalInput': {
'data': [
-1.0110862255096436, 4.6215386390686035, 2.417376756668091,
-8.934871673583984, -3.3485584259033203, -8.803302764892578,
8.826321601867676, 6.572828769683838, 6.639494895935059,
2.6842703819274902, -4.627160549163818, -6.873653411865234,
-1.1854121685028076, 0.9572811722755432, 0.02132055163383484,
0.35645851492881775, 4.827780246734619, 1.3128081560134888,
8.246277809143066, -0.2039169818162918, -9.039937019348145,
9.942809104919434, -9.540112495422363, -0.08022662252187729
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'reciprocal',
'arguments': [{'input': 'reciprocalInput'}],
'outputs': 'reciprocalOutput'
}],
'expectedOutputs': {
'reciprocalOutput': {
'data': [
-0.9890353083610535, 0.21637815237045288, 0.4136715531349182,
-0.111921027302742, -0.29863595962524414, -0.11359372735023499,
0.1132974773645401, 0.1521414965391159, 0.15061387419700623,
0.3725407123565674, -0.21611526608467102, -0.14548304677009583,
-0.8435884118080139, 1.044625163078308, 46.90310287475586,
2.805375576019287, 0.20713452994823456, 0.761725902557373,
0.12126683443784714, -4.903956413269043, -0.11062023788690567,
0.10057520121335983, -0.10482056438922882, -12.464690208435059
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'reciprocal float32 2D tensor',
'graph': {
'inputs': {
'reciprocalInput': {
'data': [
-1.0110862255096436, 4.6215386390686035, 2.417376756668091,
-8.934871673583984, -3.3485584259033203, -8.803302764892578,
8.826321601867676, 6.572828769683838, 6.639494895935059,
2.6842703819274902, -4.627160549163818, -6.873653411865234,
-1.1854121685028076, 0.9572811722755432, 0.02132055163383484,
0.35645851492881775, 4.827780246734619, 1.3128081560134888,
8.246277809143066, -0.2039169818162918, -9.039937019348145,
9.942809104919434, -9.540112495422363, -0.08022662252187729
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'reciprocal',
'arguments': [{'input': 'reciprocalInput'}],
'outputs': 'reciprocalOutput'
}],
'expectedOutputs': {
'reciprocalOutput': {
'data': [
-0.9890353083610535, 0.21637815237045288, 0.4136715531349182,
-0.111921027302742, -0.29863595962524414, -0.11359372735023499,
0.1132974773645401, 0.1521414965391159, 0.15061387419700623,
0.3725407123565674, -0.21611526608467102, -0.14548304677009583,
-0.8435884118080139, 1.044625163078308, 46.90310287475586,
2.805375576019287, 0.20713452994823456, 0.761725902557373,
0.12126683443784714, -4.903956413269043, -0.11062023788690567,
0.10057520121335983, -0.10482056438922882, -12.464690208435059
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
}
}
},
{
'name': 'reciprocal float32 3D tensor',
'graph': {
'inputs': {
'reciprocalInput': {
'data': [
-1.0110862255096436, 4.6215386390686035, 2.417376756668091,
-8.934871673583984, -3.3485584259033203, -8.803302764892578,
8.826321601867676, 6.572828769683838, 6.639494895935059,
2.6842703819274902, -4.627160549163818, -6.873653411865234,
-1.1854121685028076, 0.9572811722755432, 0.02132055163383484,
0.35645851492881775, 4.827780246734619, 1.3128081560134888,
8.246277809143066, -0.2039169818162918, -9.039937019348145,
9.942809104919434, -9.540112495422363, -0.08022662252187729
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'reciprocal',
'arguments': [{'input': 'reciprocalInput'}],
'outputs': 'reciprocalOutput'
}],
'expectedOutputs': {
'reciprocalOutput': {
'data': [
-0.9890353083610535, 0.21637815237045288, 0.4136715531349182,
-0.111921027302742, -0.29863595962524414, -0.11359372735023499,
0.1132974773645401, 0.1521414965391159, 0.15061387419700623,
0.3725407123565674, -0.21611526608467102, -0.14548304677009583,
-0.8435884118080139, 1.044625163078308, 46.90310287475586,
2.805375576019287, 0.20713452994823456, 0.761725902557373,
0.12126683443784714, -4.903956413269043, -0.11062023788690567,
0.10057520121335983, -0.10482056438922882, -12.464690208435059
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
}
}
},
{
'name': 'reciprocal float32 4D tensor',
'graph': {
'inputs': {
'reciprocalInput': {
'data': [
-1.0110862255096436, 4.6215386390686035, 2.417376756668091,
-8.934871673583984, -3.3485584259033203, -8.803302764892578,
8.826321601867676, 6.572828769683838, 6.639494895935059,
2.6842703819274902, -4.627160549163818, -6.873653411865234,
-1.1854121685028076, 0.9572811722755432, 0.02132055163383484,
0.35645851492881775, 4.827780246734619, 1.3128081560134888,
8.246277809143066, -0.2039169818162918, -9.039937019348145,
9.942809104919434, -9.540112495422363, -0.08022662252187729
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'reciprocal',
'arguments': [{'input': 'reciprocalInput'}],
'outputs': 'reciprocalOutput'
}],
'expectedOutputs': {
'reciprocalOutput': {
'data': [
-0.9890353083610535, 0.21637815237045288, 0.4136715531349182,
-0.111921027302742, -0.29863595962524414, -0.11359372735023499,
0.1132974773645401, 0.1521414965391159, 0.15061387419700623,
0.3725407123565674, -0.21611526608467102, -0.14548304677009583,
-0.8435884118080139, 1.044625163078308, 46.90310287475586,
2.805375576019287, 0.20713452994823456, 0.761725902557373,
0.12126683443784714, -4.903956413269043, -0.11062023788690567,
0.10057520121335983, -0.10482056438922882, -12.464690208435059
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'reciprocal float32 5D tensor',
'graph': {
'inputs': {
'reciprocalInput': {
'data': [
-1.0110862255096436, 4.6215386390686035, 2.417376756668091,
-8.934871673583984, -3.3485584259033203, -8.803302764892578,
8.826321601867676, 6.572828769683838, 6.639494895935059,
2.6842703819274902, -4.627160549163818, -6.873653411865234,
-1.1854121685028076, 0.9572811722755432, 0.02132055163383484,
0.35645851492881775, 4.827780246734619, 1.3128081560134888,
8.246277809143066, -0.2039169818162918, -9.039937019348145,
9.942809104919434, -9.540112495422363, -0.08022662252187729
],
'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'reciprocal',
'arguments': [{'input': 'reciprocalInput'}],
'outputs': 'reciprocalOutput'
}],
'expectedOutputs': {
'reciprocalOutput': {
'data': [
-0.9890353083610535, 0.21637815237045288, 0.4136715531349182,
-0.111921027302742, -0.29863595962524414, -0.11359372735023499,
0.1132974773645401, 0.1521414965391159, 0.15061387419700623,
0.3725407123565674, -0.21611526608467102, -0.14548304677009583,
-0.8435884118080139, 1.044625163078308, 46.90310287475586,
2.805375576019287, 0.20713452994823456, 0.761725902557373,
0.12126683443784714, -4.903956413269043, -0.11062023788690567,
0.10057520121335983, -0.10482056438922882, -12.464690208435059
],
'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float32'}
}
}
}
}
];
if (navigator.ml) {
reciprocalTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getReciprocalPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}