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- This WPT test may be referenced by the following Test IDs:
- /webnn/conformance_tests/reduce_sum_square.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reduce_sum_square.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/reduce_sum_square.https.any.html?npu - WPT Dashboard Interop Dashboard
// META: title=test WebNN API reduction operations
// META: global=window
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// Reduce the input tensor along all dimensions, or along the axes specified in
// the axes array parameter.
//
// dictionary MLReduceOptions {
// sequence<[EnforceRange] unsigned long> axes;
// boolean keepDimensions = false;
// };
//
// MLOperand reduceSumSquare(MLOperand input, optional MLReduceOptions options
// = {});
const getReductionOperatorsPrecisionTolerance = (graphResources) => {
return {
metricType: 'ULP',
value: getReducedElementCount(graphResources) * 2,
};
};
const reduceSumSquareTests = [
{
'name': 'reduceSumSquare float32 0D constant tensor default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [52.5615348815918],
'descriptor': {shape: [], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 2762.71484375,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 0D constant tensor empty axes',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [52.5615348815918],
'descriptor': {shape: [], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments':
[{'input': 'reduceSumSquareInput'}, {'options': {'axes': []}}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 2762.71484375,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name':
'reduceSumSquare float32 1D constant tensor all positive default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 73275.859375,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 1D tensor all positive default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 73275.859375,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 1D tensor all negative default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
-21.45201301574707, -57.30725860595703, -72.8390121459961,
-0.059761520475149155, -71.73678588867188, -44.61909103393555,
-43.12002182006836, -91.3373794555664, -33.17243957519531,
-48.555931091308594, -95.6286392211914, -20.876630783081055,
-16.690837860107422, -39.52110290527344, -7.5107855796813965,
-90.59027099609375, -42.21683120727539, -76.74274444580078,
-98.22420501708984, -60.272953033447266, -74.73202514648438,
-8.543684005737305, -59.888736724853516, -17.99894142150879
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 80052.015625,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name':
'reduceSumSquare float32 1D tensor all positive integers default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52, 48, 2, 66, 30, 39, 14, 23, 81, 94, 78, 64,
38, 16, 63, 11, 46, 95, 17, 47, 40, 53, 87, 43
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput':
{'data': 71347, 'descriptor': {shape: [], dataType: 'float32'}}
}
}
},
{
'name':
'reduceSumSquare float32 1D tensor all negative integers default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
-10, -60, -69, -88, -35, -84, -74, -42, -93, -26, -40, -55,
-92, -26, -39, -30, -61, -16, -16, -36, -9, -89, -45, -29
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput':
{'data': 73634, 'descriptor': {shape: [], dataType: 'float32'}}
}
}
},
{
'name': 'reduceSumSquare float32 1D tensor with empty axes',
'graph': {
'inputs': {
'reduceSumSquareInput':
{'data': [2, 3], 'descriptor': {shape: [2], dataType: 'float32'}}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments':
[{'input': 'reduceSumSquareInput'}, {'options': {'axes': []}}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput':
{'data': [4, 9], 'descriptor': {shape: [2], dataType: 'float32'}}
}
}
},
{
'name': 'reduceSumSquare float32 2D tensor default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 73275.859375,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 3D tensor default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 73275.859375,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 4D tensor default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 73275.859375,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 5D tensor default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 73275.859375,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 3D tensor options.axes',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments':
[{'input': 'reduceSumSquareInput'}, {'options': {'axes': [2]}}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [
9709.013671875, 10817.7685546875, 14548.470703125, 16385.8515625,
9287.357421875, 12527.3974609375
],
'descriptor': {shape: [2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 4D tensor options.axes',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments':
[{'input': 'reduceSumSquareInput'}, {'options': {'axes': [0, 2]}}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [
8585.87109375, 7700.654296875, 19889.1796875, 7113.0439453125,
16775.708984375, 13211.3994140625
],
'descriptor': {shape: [2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 3D tensor options.keepDimensions=false',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'keepDimensions': false}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 73275.859375,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 3D tensor options.keepDimensions=true',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'keepDimensions': true}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [73275.859375],
'descriptor': {shape: [1, 1, 1], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 4D tensor options.keepDimensions=false',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'keepDimensions': false}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': 73275.859375,
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'reduceSumSquare float32 4D tensor options.keepDimensions=true',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'keepDimensions': true}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [73275.859375],
'descriptor': {shape: [1, 1, 1, 1], dataType: 'float32'}
}
}
}
},
{
'name':
'reduceSumSquare float32 4D tensor options.axes with options.keepDimensions=false',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'axes': [1, 3], 'keepDimensions': false}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [
12302.474609375, 22772.77734375, 26919.09765625, 11281.5068359375
],
'descriptor': {shape: [2, 2], dataType: 'float32'}
}
}
}
},
{
'name':
'reduceSumSquare float32 4D tensor options.axes with options.keepDimensions=true',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
52.5615348815918, 2.6261062622070312, 82.04877471923828,
14.401411056518555, 33.96051788330078, 83.9383773803711,
47.445045471191406, 19.177289962768555, 13.493006706237793,
44.152381896972656, 86.53118133544922, 70.20919799804688,
25.67262840270996, 79.73770141601562, 66.42284393310547,
70.40363311767578, 13.503327369689941, 41.225399017333984,
6.654552936553955, 85.79743957519531, 89.91349029541016,
53.55647277832031, 39.48537063598633, 3.9460408687591553
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'axes': [1, 3], 'keepDimensions': true}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [
12302.474609375, 22772.77734375, 26919.09765625, 11281.5068359375
],
'descriptor': {shape: [2, 1, 2, 1], dataType: 'float32'}
}
}
}
},
// float16 tests
{
'name': 'reduceSumSquare float16 0D constant tensor default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [52.5625],
'descriptor': {shape: [], dataType: 'float16'},
'constant': true
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput':
{'data': [2762], 'descriptor': {shape: [], dataType: 'float16'}}
}
}
},
{
'name': 'reduceSumSquare float16 0D constant tensor empty axes',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [52.5625],
'descriptor': {shape: [], dataType: 'float16'},
'constant': true
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments':
[{'input': 'reduceSumSquareInput'}, {'options': {'axes': []}}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput':
{'data': [2762], 'descriptor': {shape: [], dataType: 'float16'}}
}
}
},
{
'name':
'reduceSumSquare float16 1D constant tensor all positive default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [24], dataType: 'float16'},
'constant': true
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [30.515625],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 1D tensor all positive default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [24], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [30.515625],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 1D tensor all negative default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
-1.646484375, -1.2998046875, -0.57763671875,
-0.5869140625, -1.740234375, -0.2020263671875,
-1.28125, -1.92578125, -0.63671875,
-0.5068359375, -1.9462890625, -1.5078125,
-1.212890625, -0.6669921875, -1.1337890625,
-0.450439453125, -0.7978515625, -0.2196044921875,
-0.221923828125, -0.1463623046875, -0.75537109375,
-1.0830078125, -1.3740234375, -0.059600830078125
],
'descriptor': {shape: [24], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [28.015625],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name':
'reduceSumSquare float16 1D tensor all positive integers default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
2, 4, 2, 6, 3, 9, 1, 2, 1, 4, 7, 6,
3, 1, 3, 1, 6, 5, 1, 4, 4, 3, 8, 3
],
'descriptor': {shape: [24], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput':
{'data': [453], 'descriptor': {shape: [], dataType: 'float16'}}
}
}
},
{
'name':
'reduceSumSquare float16 1D tensor all negative integers default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
-10, -6, -9, -8, -3, -4, -4, -2, -3, -2, -4, -5,
-2, -2, -3, -3, -1, -6, -1, -3, -9, -8, -5, -2
],
'descriptor': {shape: [24], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput':
{'data': [627], 'descriptor': {shape: [], dataType: 'float16'}}
}
}
},
{
'name': 'reduceSumSquare float16 1D tensor with empty axes',
'graph': {
'inputs': {
'reduceSumSquareInput':
{'data': [2, 3], 'descriptor': {shape: [2], dataType: 'float16'}}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments':
[{'input': 'reduceSumSquareInput'}, {'options': {'axes': []}}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput':
{'data': [4, 9], 'descriptor': {shape: [2], dataType: 'float16'}}
}
}
},
{
'name': 'reduceSumSquare float16 2D tensor default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [4, 6], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [30.515625],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 3D tensor default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 3, 4], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [30.515625],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 4D tensor default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [30.515625],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 5D tensor default options',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [{'input': 'reduceSumSquareInput'}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [30.515625],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 3D tensor options.axes',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 3, 4], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments':
[{'input': 'reduceSumSquareInput'}, {'options': {'axes': [2]}}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [
4.94140625, 4.30859375, 1.4765625, 3.458984375, 11.359375,
4.97265625
],
'descriptor': {shape: [2, 3], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 4D tensor options.axes',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments':
[{'input': 'reduceSumSquareInput'}, {'options': {'axes': [0, 2]}}],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [
3.72265625, 5.4453125, 5.75, 5.00390625, 8.6796875, 1.9130859375
],
'descriptor': {shape: [2, 3], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 3D tensor options.keepDimensions=false',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 3, 4], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'keepDimensions': false}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [30.515625],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 3D tensor options.keepDimensions=true',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 3, 4], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'keepDimensions': true}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [30.515625],
'descriptor': {shape: [1, 1, 1], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 4D tensor options.keepDimensions=false',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'keepDimensions': false}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [30.515625],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name': 'reduceSumSquare float16 4D tensor options.keepDimensions=true',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'keepDimensions': true}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [30.515625],
'descriptor': {shape: [1, 1, 1, 1], dataType: 'float16'}
}
}
}
},
{
'name':
'reduceSumSquare float16 4D tensor options.axes with options.keepDimensions=false',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'axes': [1, 3], 'keepDimensions': false}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [8.828125, 1.8974609375, 9.625, 10.1640625],
'descriptor': {shape: [2, 2], dataType: 'float16'}
}
}
}
},
{
'name':
'reduceSumSquare float16 4D tensor options.axes with options.keepDimensions=true',
'graph': {
'inputs': {
'reduceSumSquareInput': {
'data': [
1.3935546875, 1.20703125, 1.18359375, 0.3759765625,
0.69677734375, 0.75244140625, 1.068359375, 1.455078125,
0.87890625, 0.2149658203125, 0.7998046875, 0.135986328125,
1.099609375, 0.77685546875, 1.1025390625, 0.65625,
1.703125, 1.6025390625, 1.5185546875, 1.892578125,
0.8408203125, 1.2294921875, 1.529296875, 0.64404296875
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'reduceSumSquare',
'arguments': [
{'input': 'reduceSumSquareInput'},
{'options': {'axes': [1, 3], 'keepDimensions': true}}
],
'outputs': 'reduceSumSquareOutput'
}],
'expectedOutputs': {
'reduceSumSquareOutput': {
'data': [8.828125, 1.8974609375, 9.625, 10.1640625],
'descriptor': {shape: [2, 1, 2, 1], dataType: 'float16'}
}
}
}
}
];
if (navigator.ml) {
reduceSumSquareTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getReductionOperatorsPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}