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

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Test Info: Warnings

// META: title=validation tests for WebNN API expand operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils_validation.js
'use strict';
multi_builder_test(async (t, builder, otherBuilder) => {
const inputFromOtherBuilder =
otherBuilder.input('input', {dataType: 'float32', shape: [2, 1, 2]});
const newShape = [2, 2, 2];
assert_throws_js(
TypeError, () => builder.expand(inputFromOtherBuilder, newShape));
}, '[expand] throw if input is from another builder');
const label = 'xxx_expand';
const tests = [
{
name: '[expand] Test with 0-D scalar to 3-D tensor.',
input: {dataType: 'float32', shape: []},
newShape: [3, 4, 5],
output: {dataType: 'float32', shape: [3, 4, 5]}
},
{
name: '[expand] Test with the new shapes that are the same as input.',
input: {dataType: 'float32', shape: [4]},
newShape: [4],
output: {dataType: 'float32', shape: [4]}
},
{
name: '[expand] Test with the new shapes that are broadcastable.',
input: {dataType: 'float32', shape: [3, 1, 5]},
newShape: [3, 4, 5],
output: {dataType: 'float32', shape: [3, 4, 5]}
},
{
name:
'[expand] Test with the new shapes that are broadcastable and the rank of new shapes is larger than input.',
input: {dataType: 'float32', shape: [2, 5]},
newShape: [3, 2, 5],
output: {dataType: 'float32', shape: [3, 2, 5]}
},
{
name:
'[expand] Throw if the input shapes are the same rank but not broadcastable.',
input: {dataType: 'float32', shape: [3, 6, 2]},
newShape: [4, 3, 5],
options: {label}
},
{
name: '[expand] Throw if the input shapes are not broadcastable.',
input: {dataType: 'float32', shape: [5, 4]},
newShape: [5],
options: {label}
},
{
name: '[expand] Throw if the number of new shapes is too large.',
input: {dataType: 'float32', shape: [1, 2, 1, 1]},
newShape: [1, 2, kMaxUnsignedLong, kMaxUnsignedLong],
},
];
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.expand(input, test.newShape);
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.expand(input, test.newShape, options), regrexp);
} else {
assert_throws_js(
TypeError, () => builder.expand(input, test.newShape, options));
}
}
}, test.name));
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];
const newShape = [1, 2, 3];
const input = builder.input(`input`, {dataType, shape});
if (context.opSupportLimits().expand.input.dataTypes.includes(dataType)) {
const output = builder.expand(input, newShape);
assert_equals(output.dataType, dataType);
assert_array_equals(output.shape, newShape);
} else {
assert_throws_js(TypeError, () => builder.expand(input, newShape));
}
}
}, `[expand] Test expand with all of the data types.`);