mozilla-central/testing/web-platform/tests/webnn/validation_tests/resample2d.https.any.js (file symbol)

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// META: title=validation tests for WebNN API resample2d operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils_validation.js
'use strict';
const label = 'resample-2d';
// Tests for resample2d(input, options)
const tests = [
{
name: '[resample2d] Test building resample2d with default options',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
output: {dataType: 'float32', shape: [1, 1, 2, 4]},
},
{
name: '[resample2d] Test building resample2d with scales=[2.0, 2.0]',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {scales: [2.0, 2.0]},
output: {dataType: 'float32', shape: [1, 1, 4, 8]},
},
{
name: '[resample2d] Test building resample2d with scales=[0.5, 0.5]',
input: {dataType: 'float32', shape: [1, 1, 5, 5]},
options: {scales: [0.5, 0.5]},
output: {dataType: 'float32', shape: [1, 1, 2, 2]},
},
{
name:
'[resample2d] Test building resample2d with scales=[0.5, 0.5] and explicit axes=[2, 3]',
input: {dataType: 'float32', shape: [1, 1, 5, 5]},
options: {scales: [0.5, 0.5], axes: [2, 3]},
output: {dataType: 'float32', shape: [1, 1, 2, 2]},
},
{
name:
'[resample2d] Test building resample2d with scales=[1.0, 2.0] and axes=[0, 1]',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {scales: [1.0, 2.0], axes: [0, 1]},
output: {dataType: 'float32', shape: [1, 2, 2, 4]},
},
{
name:
'[resample2d] Test building resample2d with scales=[2.0, 2.0] and axes=[1, 2]',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {scales: [2.0, 2.0], axes: [1, 2]},
output: {dataType: 'float32', shape: [1, 2, 4, 4]},
},
{
name:
'[resample2d] Test building resample2d with sizes=[3, 6] ignored scales',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {scales: [2.0, 2.0], sizes: [3, 6]},
output: {dataType: 'float32', shape: [1, 1, 3, 6]},
},
{
name:
'[resample2d] Test building resample2d with non consecutive axes=[0,2]',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {
axes: [0, 2],
label: label,
},
output: {dataType: 'float32', shape: [1, 1, 2, 4]},
},
{
name:
'[resample2d] Throw if the dataType of input is not float32 or float16',
input: {dataType: 'int32', shape: [2, 4]},
options: {label},
},
{
name: '[resample2d] Throw if the rank of input is not 4',
input: {dataType: 'float32', shape: [2, 4]},
options: {label},
},
{
name: '[resample2d] Throw if the length of scales is not 2',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {
scales: [1.0, 1.0, 2.0, 2.0],
label: label,
},
},
{
name: '[resample2d] Throw if any scale value is negative',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {
scales: [1.0, -2.0],
label: label,
},
},
{
name: '[resample2d] Throw if any scale value is 0',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {
scales: [0, 2.0],
label: label,
},
},
{
name: '[resample2d] Throw if the length of sizes is not 2',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {
sizes: [1, 1, 4, 6],
label: label,
},
},
{
name: '[resample2d] Throw if sizes[0] is not a valid dimension',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {
sizes: [0, 1],
label: label,
},
},
{
name: '[resample2d] Throw if sizes[1] is not a valid dimension',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {
sizes: [1, 0],
label: label,
},
},
{
name:
'[resample2d] Throw if any size value is out of \'unsigned long\' value range',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {sizes: [kMaxUnsignedLong + 1, kMaxUnsignedLong + 1]},
},
{
name:
'[resample2d] Throw if outputHeight being floor(scaleHeight*inputHeight) is too large',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
// The maximum dimension size is kMaxUnsignedLong (2 ** 32 - 1).
// Here scaleHeight=kMaxUnsignedLong and inputHeight=2,
// so outputHeight being kMaxUnsignedLong*2 > kMaxUnsignedLong .
options: {scales: /*[scaleHeight, scaleWidth]*/[kMaxUnsignedLong, 1]},
},
{
name: '[resample2d] Throw if scaleHeight is too small',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
// Here scaleHeight=0.02 and inputHeight=2,
// so outputHeight would be 0.
options: {
scales: /*[scaleHeight, scaleWidth]*/[0.02, 0.8],
label: label,
},
},
{
name:
'[resample2d] Throw if outputWidth being floor(scaleWidth*inputWidth) is too large',
input: {dataType: 'float32', shape: [1, 1, 4, 2]},
// The maximum dimension size is kMaxUnsignedLong (2 ** 32 - 1).
// Here scaleWidth=kMaxUnsignedLong and inputWidth=2,
// so outputWidth being kMaxUnsignedLong*2 > kMaxUnsignedLong .
options: {scales: /*[scaleHeight, scaleWidth]*/[1, kMaxUnsignedLong]},
},
{
name: '[resample2d] Throw if scaleWidth is too small',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
// Here scaleWidth=0.1 and inputWidth=4,
// so outputWidth would be 0.
options: {
scales: /*[scaleHeight, scaleWidth]*/[0.7, 0.1],
label: label,
},
},
{
name: '[resample2d] Throw if the length of axes is not 2',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {
axes: [0, 1, 2],
label: label,
},
},
{
name:
'[resample2d] Throw if any axis value is greater than or equal to the input rank',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {
axes: [3, 4],
label: label,
},
},
{
name: '[resample2d] Throw if the values of axes are same',
input: {dataType: 'float32', shape: [1, 1, 2, 4]},
options: {
axes: [0, 0],
label: label,
},
},
];
tests.forEach(
test => promise_test(async t => {
const builder = new MLGraphBuilder(context);
const input = builder.input('input', test.input);
const options = test.options ?? {};
if (test.output) {
const output = builder.resample2d(input, options);
assert_equals(output.dataType, test.output.dataType);
assert_array_equals(output.shape, test.output.shape);
} else {
const options = {...test.options};
if (options.label) {
const regrexp = new RegExp('\\[' + label + '\\]');
assert_throws_with_label(
() => builder.resample2d(input, options), regrexp);
} else {
assert_throws_js(TypeError, () => builder.resample2d(input, options));
}
}
}, test.name));
validateInputFromAnotherBuilder(
'resample2d', {dataType: 'float32', shape: [2, 2, 2, 2]});
promise_test(async t => {
for (let dataType of allWebNNOperandDataTypes) {
if (!context.opSupportLimits().input.dataTypes.includes(dataType)) {
continue;
}
const builder = new MLGraphBuilder(context);
const shape = [1, 1, 2, 4];
const input = builder.input(`input`, {dataType, shape});
if (context.opSupportLimits().resample2d.input.dataTypes.includes(
dataType)) {
const output = builder.resample2d(input);
assert_equals(output.dataType, dataType);
assert_array_equals(output.shape, shape);
} else {
assert_throws_js(TypeError, () => builder.resample2d(input));
}
}
}, `[resample2d] Test resample2d with all of the data types.`);