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Test Info: Warnings

// META: title=validation tests for WebNN API reduction operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils_validation.js
'use strict';
const kReductionOperators = [
'reduceL1',
'reduceL2',
'reduceLogSum',
'reduceLogSumExp',
'reduceMax',
'reduceMean',
'reduceMin',
'reduceProduct',
'reduceSum',
'reduceSumSquare',
];
const label = 'reduce_op_xxx';
const allReductionOperatorsTests = [
{
name: '[reduce] Test reduce with keepDimensions=true.',
input: {dataType: 'float32', shape: [1, 3, 4, 4]},
options: {
keepDimensions: true,
},
output: {dataType: 'float32', shape: [1, 1, 1, 1]}
},
{
name: '[reduce] Test reduce with axes=[0, 1] and keep_dimensions=false.',
input: {dataType: 'float32', shape: [1, 3, 5, 5]},
options: {axes: [0, 1]},
output: {dataType: 'float32', shape: [5, 5]}
},
{
name: '[reduce] Throw if a value in axes is out of range of [0, N-1].',
input: {dataType: 'float32', shape: [1, 2, 5, 5]},
options: {
axes: [4],
label: label,
},
},
{
name: '[reduce] Throw if the two values are same in axes sequence.',
input: {dataType: 'float32', shape: [1, 2, 5, 5]},
options: {
axes: [0, 1, 1],
label: label,
},
},
];
function runReductionTests(operatorName, tests) {
tests.forEach(test => {
promise_test(async t => {
const builder = new MLGraphBuilder(context);
const input = builder.input('input', test.input);
if (test.output) {
const output = builder[operatorName](input, test.options);
assert_equals(output.dataType, test.output.dataType);
assert_array_equals(output.shape, test.output.shape);
} else {
const regrexp = new RegExp('\\[' + label + '\\]');
assert_throws_with_label(
() => builder[operatorName](input, test.options), regrexp);
}
}, test.name.replace('[reduce]', `[${operatorName}]`));
});
}
kReductionOperators.forEach((operatorName) => {
validateInputFromAnotherBuilder(operatorName);
runReductionTests(operatorName, allReductionOperatorsTests);
});
kReductionOperators.forEach((operatorName) => {
promise_test(async t => {
for (let dataType of allWebNNOperandDataTypes) {
if (!context.opSupportLimits().input.dataTypes.includes(dataType)) {
continue;
}
const builder = new MLGraphBuilder(context);
const input = builder.input(`input`, {dataType, shape: shape3D});
if (context.opSupportLimits()[operatorName].input.dataTypes.includes(
dataType)) {
const output = builder[operatorName](input);
assert_equals(output.dataType, dataType);
assert_array_equals(output.shape, []);
} else {
assert_throws_js(TypeError, () => builder[operatorName](input));
}
}
}, `[${operatorName}] Test reduce with all of the data types.`);
});