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- This WPT test may be referenced by the following Test IDs:
- /webnn/conformance_tests/maxPool2d.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/maxPool2d.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/maxPool2d.https.any.html?npu - WPT Dashboard Interop Dashboard
// META: title=test WebNN API maxPool2d operation
// META: global=window
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// Compute a pooling operation across all the elements within the moving window
// over the input tensor.
//
// enum MLRoundingType {
// "floor",
// "ceil"
// };
//
// dictionary MLPool2dOptions {
// sequence<[EnforceRange] unsigned long> windowDimensions;
// sequence<[EnforceRange] unsigned long> padding;
// sequence<[EnforceRange] unsigned long> strides;
// sequence<[EnforceRange] unsigned long> dilations;
// MLInputOperandLayout layout = "nchw";
// MLRoundingType roundingType = "floor";
// sequence<[EnforceRange] unsigned long> outputSizes;
// };
//
// MLOperand maxPool2d(
// MLOperand input, optional MLPool2dOptions options = {});
const maxPool2dTests = [
// float32 tests
{
'name': 'maxPool2d float32 4D constant tensor default options',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [{'input': 'maxPool2dInput'}],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [99.28312683105469, 81.73119354248047],
'descriptor': {shape: [1, 2, 1, 1], dataType: 'float32'}
}
}
}
},
{
'name': 'maxPool2d float32 4D tensor default options',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [{'input': 'maxPool2dInput'}],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [99.28312683105469, 81.73119354248047],
'descriptor': {shape: [1, 2, 1, 1], dataType: 'float32'}
}
}
}
},
{
'name': 'maxPool2d float32 4D tensor options.windowDimensions',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {'options': {'windowDimensions': [3, 3]}}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.28312683105469, 99.28312683105469, 66.09259033203125,
99.28312683105469, 99.28312683105469, 72.1085205078125,
97.90348052978516, 72.1085205078125, 72.1085205078125,
81.73119354248047, 72.44898986816406, 72.44898986816406,
81.73119354248047, 72.8883056640625, 72.44898986816406,
80.30484008789062, 72.8883056640625, 72.33577728271484
],
'descriptor': {shape: [1, 2, 3, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'maxPool2d float32 4D tensor options.padding',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {'options': {'padding': [1, 0, 0, 1]}}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.28312683105469, 99.28312683105469, 99.28312683105469,
99.28312683105469, 81.73119354248047, 72.8883056640625,
81.73119354248047, 72.8883056640625
],
'descriptor': {shape: [1, 2, 2, 2], dataType: 'float32'}
}
}
}
},
{
'name': 'maxPool2d float32 4D tensor options.strides',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'},
{'options': {'windowDimensions': [3, 3], 'strides': [2, 2]}}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.28312683105469, 66.09259033203125, 97.90348052978516,
72.1085205078125, 81.73119354248047, 72.44898986816406,
80.30484008789062, 72.33577728271484
],
'descriptor': {shape: [1, 2, 2, 2], dataType: 'float32'}
}
}
}
},
{
'name': 'maxPool2d float32 4D tensor options.dilations',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'},
{'options': {'windowDimensions': [3, 3], 'dilations': [2, 2]}}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [89.00830078125, 72.33577728271484],
'descriptor': {shape: [1, 2, 1, 1], dataType: 'float32'}
}
}
}
},
{
'name': 'maxPool2d float32 4D tensor options.layout=nchw',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments':
[{'input': 'maxPool2dInput'}, {'options': {'layout': 'nchw'}}],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [99.28312683105469, 81.73119354248047],
'descriptor': {shape: [1, 2, 1, 1], dataType: 'float32'}
}
}
}
},
{
'name': 'maxPool2d float32 4D tensor options.layout=nhwc',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -76.72171020507812, -45.72039031982422,
50.217063903808594, -61.306129455566406, -52.895477294921875,
-4.014514446258545, -44.642333984375, -94.54893493652344,
-97.86752319335938, 46.28090286254883, 81.73119354248047,
99.28312683105469, 5.428491115570068, -10.057873725891113,
-29.22772789001465, 9.742474555969238, 72.44898986816406,
-39.03501892089844, -59.34124755859375, 75.08192443847656,
39.19960021972656, 12.819415092468262, -65.99439239501953,
-33.01505661010742, -4.204323768615723, 38.691341400146484,
-60.54586410522461, 66.09259033203125, 55.890525817871094,
97.90348052978516, 80.30484008789062, -8.737770080566406,
72.8883056640625, -53.42162322998047, -46.59611129760742,
72.1085205078125, 20.50387954711914, -40.423091888427734,
-31.126462936401367, -35.68864440917969, -57.294559478759766,
-87.64779663085938, -26.623577117919922, 38.874244689941406,
15.935754776000977, 39.383602142333984, -78.77953338623047,
7.429088115692139, 72.33577728271484
],
'descriptor': {shape: [1, 5, 5, 2], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments':
[{'input': 'maxPool2dInput'}, {'options': {'layout': 'nhwc'}}],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [99.28312683105469, 81.73119354248047],
'descriptor': {shape: [1, 1, 1, 2], dataType: 'float32'}
}
}
}
},
{
'name': 'maxPool2d float32 4D tensor options.roundingType=floor',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {
'options': {
'windowDimensions': [3, 3],
'padding': [1, 0, 0, 1],
'strides': [2, 2],
'roundingType': 'floor'
}
}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.28312683105469, 9.742474555969238, 99.28312683105469,
72.1085205078125, 81.73119354248047, 72.44898986816406,
81.73119354248047, 72.44898986816406
],
'descriptor': {shape: [1, 2, 2, 2], dataType: 'float32'}
}
}
}
},
{
'name': 'maxPool2d float32 4D tensor options.roundingType=ceil',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {
'options': {
'windowDimensions': [3, 3],
'padding': [1, 0, 0, 1],
'strides': [2, 2],
'roundingType': 'ceil'
}
}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.28312683105469, 9.742474555969238, -39.03501892089844,
99.28312683105469, 72.1085205078125, 66.09259033203125,
97.90348052978516, 72.1085205078125, 7.429088115692139,
81.73119354248047, 72.44898986816406, -59.34124755859375,
81.73119354248047, 72.44898986816406, 55.890525817871094,
80.30484008789062, 72.33577728271484, 72.33577728271484
],
'descriptor': {shape: [1, 2, 3, 3], dataType: 'float32'}
}
}
}
},
{
'name':
'maxPool2d float32 4D tensor options.outputSizes ignores options.roundingType=floor',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {
'options': {
'windowDimensions': [3, 3],
'padding': [1, 0, 0, 1],
'strides': [2, 2],
'roundingType': 'floor',
'outputSizes': [3, 3]
}
}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.28312683105469, 9.742474555969238, -39.03501892089844,
99.28312683105469, 72.1085205078125, 66.09259033203125,
97.90348052978516, 72.1085205078125, 7.429088115692139,
81.73119354248047, 72.44898986816406, -59.34124755859375,
81.73119354248047, 72.44898986816406, 55.890525817871094,
80.30484008789062, 72.33577728271484, 72.33577728271484
],
'descriptor': {shape: [1, 2, 3, 3], dataType: 'float32'}
}
}
}
},
{
'name':
'maxPool2d float32 4D tensor options.outputSizes ignores options.roundingType=ceil',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89.00830078125, -45.72039031982422, -61.306129455566406,
-4.014514446258545, -94.54893493652344, 46.28090286254883,
99.28312683105469, -10.057873725891113, 9.742474555969238,
-39.03501892089844, 75.08192443847656, 12.819415092468262,
-33.01505661010742, 38.691341400146484, 66.09259033203125,
97.90348052978516, -8.737770080566406, -53.42162322998047,
72.1085205078125, -40.423091888427734, -35.68864440917969,
-87.64779663085938, 38.874244689941406, 39.383602142333984,
7.429088115692139, -76.72171020507812, 50.217063903808594,
-52.895477294921875, -44.642333984375, -97.86752319335938,
81.73119354248047, 5.428491115570068, -29.22772789001465,
72.44898986816406, -59.34124755859375, 39.19960021972656,
-65.99439239501953, -4.204323768615723, -60.54586410522461,
55.890525817871094, 80.30484008789062, 72.8883056640625,
-46.59611129760742, 20.50387954711914, -31.126462936401367,
-57.294559478759766, -26.623577117919922, 15.935754776000977,
-78.77953338623047, 72.33577728271484
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {
'options': {
'windowDimensions': [3, 3],
'padding': [1, 0, 0, 1],
'strides': [2, 2],
'roundingType': 'ceil',
'outputSizes': [2, 2]
}
}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.28312683105469, 9.742474555969238, 99.28312683105469,
72.1085205078125, 81.73119354248047, 72.44898986816406,
81.73119354248047, 72.44898986816406
],
'descriptor': {shape: [1, 2, 2, 2], dataType: 'float32'}
}
}
}
},
{
'name':
'maxPool2d float32 4D tensor options.dilations with options.strides',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
34.69258117675781, -24.706249237060547, -60.428070068359375,
35.93883514404297, 60.896095275878906, 79.42220306396484,
-77.85906219482422, 54.188209533691406, -21.576934814453125,
-49.10390853881836, 78.55176544189453, 74.28213500976562,
-87.92769622802734, 79.82047271728516, 11.680922508239746,
-12.154505729675293, -22.33293914794922, 33.084861755371094,
8.640676498413086, 47.040645599365234, 95.7823486328125,
-88.01998138427734, -98.53630065917969, 16.158977508544922,
21.396089553833008, 95.1323471069336, -40.80724334716797,
-88.70922088623047, -40.772769927978516, 67.89842987060547,
-50.337467193603516, -96.56610870361328, 12.508098602294922,
-6.6358113288879395, -44.80198287963867, 80.27474212646484,
-65.68411254882812, -14.884790420532227, -66.54857635498047,
20.072338104248047, -27.954269409179688, -56.62217330932617,
82.7479476928711, 93.30175018310547, -34.073394775390625,
-22.87164306640625, 73.25525665283203, 41.14021682739258,
-19.75514793395996, 80.07701110839844, -69.89276885986328,
14.013250350952148, -61.36640167236328, 51.53046417236328,
43.53886413574219, -89.5888671875, 51.45121765136719,
73.9239730834961, -80.25264739990234, 94.72747802734375,
95.25411224365234, 58.12575149536133, 19.885723114013672,
-70.0301284790039, 63.419517517089844, -54.11785125732422,
-97.22807312011719, -60.65826416015625, -31.04998016357422,
-14.646553039550781, -63.73688888549805, 47.34630584716797,
85.56405639648438, -53.389251708984375, -70.84739685058594,
47.355045318603516, 83.38397979736328, 7.361695289611816,
46.85823440551758, 98.13465881347656, -43.9396858215332,
50.33780288696289, 37.45563507080078, -54.52760696411133,
-6.212307929992676, 34.41734313964844, 11.8167724609375,
72.44517517089844, 86.3460922241211, 4.14656925201416,
88.33040618896484, 98.29994201660156, -66.72379302978516,
58.0643424987793, -51.168277740478516, -17.768583297729492,
9.961172103881836, -52.73843002319336
],
'descriptor': {shape: [1, 7, 7, 2], dataType: 'float32'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {
'options': {
'windowDimensions': [3, 3],
'padding': [1, 0, 0, 1],
'strides': [2, 2],
'dilations': [1, 1],
'layout': 'nhwc'
}
}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
60.896095275878906, 79.42220306396484, 95.7823486328125,
79.42220306396484, 78.55176544189453, 95.1323471069336,
82.7479476928711, 93.30175018310547, 95.7823486328125,
80.27474212646484, 43.53886413574219, 95.1323471069336,
95.25411224365234, 94.72747802734375, 95.25411224365234,
98.13465881347656, 63.419517517089844, 98.13465881347656
],
'descriptor': {shape: [1, 3, 3, 2], dataType: 'float32'}
}
}
}
},
// float16 tests
{
'name': 'maxPool2d float16 4D constant tensor default options',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'},
'constant': true
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [{'input': 'maxPool2dInput'}],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [99.3125, 81.75],
'descriptor': {shape: [1, 2, 1, 1], dataType: 'float16'}
}
}
}
},
{
'name': 'maxPool2d float16 4D tensor default options',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [{'input': 'maxPool2dInput'}],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [99.3125, 81.75],
'descriptor': {shape: [1, 2, 1, 1], dataType: 'float16'}
}
}
}
},
{
'name': 'maxPool2d float16 4D tensor options.windowDimensions',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {'options': {'windowDimensions': [3, 3]}}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.3125, 99.3125, 66.0625, 99.3125, 99.3125, 72.125, 97.875, 72.125,
72.125, 81.75, 72.4375, 72.4375, 81.75, 72.875, 72.4375, 80.3125,
72.875, 72.3125
],
'descriptor': {shape: [1, 2, 3, 3], dataType: 'float16'}
}
}
}
},
{
'name': 'maxPool2d float16 4D tensor options.padding',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {'options': {'padding': [1, 0, 0, 1]}}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.3125, 99.3125, 99.3125, 99.3125, 81.75, 72.875, 81.75, 72.875
],
'descriptor': {shape: [1, 2, 2, 2], dataType: 'float16'}
}
}
}
},
{
'name': 'maxPool2d float16 4D tensor options.strides',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'},
{'options': {'windowDimensions': [3, 3], 'strides': [2, 2]}}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.3125, 66.0625, 97.875, 72.125, 81.75, 72.4375, 80.3125, 72.3125
],
'descriptor': {shape: [1, 2, 2, 2], dataType: 'float16'}
}
}
}
},
{
'name': 'maxPool2d float16 4D tensor options.dilations',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'},
{'options': {'windowDimensions': [3, 3], 'dilations': [2, 2]}}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [89, 72.3125],
'descriptor': {shape: [1, 2, 1, 1], dataType: 'float16'}
}
}
}
},
{
'name': 'maxPool2d float16 4D tensor options.layout=nchw',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments':
[{'input': 'maxPool2dInput'}, {'options': {'layout': 'nchw'}}],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [99.3125, 81.75],
'descriptor': {shape: [1, 2, 1, 1], dataType: 'float16'}
}
}
}
},
{
'name': 'maxPool2d float16 4D tensor options.layout=nhwc',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -76.75, -45.71875, 50.21875, -61.3125,
-52.90625, -4.015625, -44.65625, -94.5625, -97.875,
46.28125, 81.75, 99.3125, 5.4296875, -10.0546875,
-29.234375, 9.7421875, 72.4375, -39.03125, -59.34375,
75.0625, 39.1875, 12.8203125, -66, -33,
-4.203125, 38.6875, -60.53125, 66.0625, 55.875,
97.875, 80.3125, -8.734375, 72.875, -53.40625,
-46.59375, 72.125, 20.5, -40.4375, -31.125,
-35.6875, -57.28125, -87.625, -26.625, 38.875,
15.9375, 39.375, -78.75, 7.4296875, 72.3125
],
'descriptor': {shape: [1, 5, 5, 2], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments':
[{'input': 'maxPool2dInput'}, {'options': {'layout': 'nhwc'}}],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [99.3125, 81.75],
'descriptor': {shape: [1, 1, 1, 2], dataType: 'float16'}
}
}
}
},
{
'name': 'maxPool2d float16 4D tensor options.roundingType=floor',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {
'options': {
'windowDimensions': [3, 3],
'padding': [1, 0, 0, 1],
'strides': [2, 2],
'roundingType': 'floor'
}
}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.3125, 9.7421875, 99.3125, 72.125, 81.75, 72.4375, 81.75, 72.4375
],
'descriptor': {shape: [1, 2, 2, 2], dataType: 'float16'}
}
}
}
},
{
'name': 'maxPool2d float16 4D tensor options.roundingType=ceil',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {
'options': {
'windowDimensions': [3, 3],
'padding': [1, 0, 0, 1],
'strides': [2, 2],
'roundingType': 'ceil'
}
}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.3125, 9.7421875, -39.03125, 99.3125, 72.125, 66.0625, 97.875,
72.125, 7.4296875, 81.75, 72.4375, -59.34375, 81.75, 72.4375,
55.875, 80.3125, 72.3125, 72.3125
],
'descriptor': {shape: [1, 2, 3, 3], dataType: 'float16'}
}
}
}
},
{
'name':
'maxPool2d float16 4D tensor options.outputSizes ignores options.roundingType=floor',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {
'options': {
'windowDimensions': [3, 3],
'padding': [1, 0, 0, 1],
'strides': [2, 2],
'roundingType': 'floor',
'outputSizes': [3, 3]
}
}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.3125, 9.7421875, -39.03125, 99.3125, 72.125, 66.0625, 97.875,
72.125, 7.4296875, 81.75, 72.4375, -59.34375, 81.75, 72.4375,
55.875, 80.3125, 72.3125, 72.3125
],
'descriptor': {shape: [1, 2, 3, 3], dataType: 'float16'}
}
}
}
},
{
'name':
'maxPool2d float16 4D tensor options.outputSizes ignores options.roundingType=ceil',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
89, -45.71875, -61.3125, -4.015625, -94.5625,
46.28125, 99.3125, -10.0546875, 9.7421875, -39.03125,
75.0625, 12.8203125, -33, 38.6875, 66.0625,
97.875, -8.734375, -53.40625, 72.125, -40.4375,
-35.6875, -87.625, 38.875, 39.375, 7.4296875,
-76.75, 50.21875, -52.90625, -44.65625, -97.875,
81.75, 5.4296875, -29.234375, 72.4375, -59.34375,
39.1875, -66, -4.203125, -60.53125, 55.875,
80.3125, 72.875, -46.59375, 20.5, -31.125,
-57.28125, -26.625, 15.9375, -78.75, 72.3125
],
'descriptor': {shape: [1, 2, 5, 5], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {
'options': {
'windowDimensions': [3, 3],
'padding': [1, 0, 0, 1],
'strides': [2, 2],
'roundingType': 'ceil',
'outputSizes': [2, 2]
}
}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
99.3125, 9.7421875, 99.3125, 72.125, 81.75, 72.4375, 81.75, 72.4375
],
'descriptor': {shape: [1, 2, 2, 2], dataType: 'float16'}
}
}
}
},
{
'name':
'maxPool2d float16 4D tensor options.dilations with options.strides',
'graph': {
'inputs': {
'maxPool2dInput': {
'data': [
34.6875, -24.703125, -60.4375, 35.9375, 60.90625,
79.4375, -77.875, 54.1875, -21.578125, -49.09375,
78.5625, 74.3125, -87.9375, 79.8125, 11.6796875,
-12.15625, -22.328125, 33.09375, 8.640625, 47.03125,
95.8125, -88, -98.5625, 16.15625, 21.390625,
95.125, -40.8125, -88.6875, -40.78125, 67.875,
-50.34375, -96.5625, 12.5078125, -6.63671875, -44.8125,
80.25, -65.6875, -14.8828125, -66.5625, 20.078125,
-27.953125, -56.625, 82.75, 93.3125, -34.0625,
-22.875, 73.25, 41.125, -19.75, 80.0625,
-69.875, 14.015625, -61.375, 51.53125, 43.53125,
-89.5625, 51.4375, 73.9375, -80.25, 94.75,
95.25, 58.125, 19.890625, -70, 63.40625,
-54.125, -97.25, -60.65625, -31.046875, -14.6484375,
-63.75, 47.34375, 85.5625, -53.375, -70.875,
47.34375, 83.375, 7.36328125, 46.84375, 98.125,
-43.9375, 50.34375, 37.46875, -54.53125, -6.2109375,
34.40625, 11.8203125, 72.4375, 86.375, 4.1484375,
88.3125, 98.3125, -66.75, 58.0625, -51.15625,
-17.765625, 9.9609375, -52.75
],
'descriptor': {shape: [1, 7, 7, 2], dataType: 'float16'}
}
},
'operators': [{
'name': 'maxPool2d',
'arguments': [
{'input': 'maxPool2dInput'}, {
'options': {
'windowDimensions': [3, 3],
'padding': [1, 0, 0, 1],
'strides': [2, 2],
'dilations': [1, 1],
'layout': 'nhwc'
}
}
],
'outputs': 'maxPool2dOutput'
}],
'expectedOutputs': {
'maxPool2dOutput': {
'data': [
60.90625, 79.4375, 95.8125, 79.4375, 78.5625, 95.125, 82.75,
93.3125, 95.8125, 80.25, 43.53125, 95.125, 95.25, 94.75, 95.25,
98.125, 63.40625, 98.125
],
'descriptor': {shape: [1, 3, 3, 2], dataType: 'float16'}
}
}
}
}
];
if (navigator.ml) {
maxPool2dTests.forEach((test) => {
webnn_conformance_test(buildAndExecuteGraph, getPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}