// META: title=validation tests for WebNN API tile operation // META: global=window // META: variant=?cpu // META: variant=?gpu // META: variant=?npu // META: script=../resources/utils_validation.js 'use strict'; validateInputFromAnotherBuilder('tile'); const label = 'xxx-tile'; const regrexp = new RegExp('\\[' + label + '\\]'); const tests = [ { name: '[tile] Test building tile with repetitions=[1, 1, 1, 1], float32 data type.', input: {dataType: 'float32', shape: [1, 2, 3, 4]}, repetitions: [1, 1, 1, 1], output: {dataType: 'float32', shape: [1, 2, 3, 4]}, options: { label: label, }, }, { name: '[tile] Test building tile with repetitions=[1, 2, 3, 4], uint32 data type.', input: {dataType: 'uint32', shape: [1, 2, 3, 4]}, repetitions: [1, 2, 3, 4], output: {dataType: 'uint32', shape: [1, 4, 9, 16]}, }, { name: '[tile] Throw if repetitions\'s size is not the same as input\'s rank.', input: {dataType: 'int32', shape: [1, 2, 4]}, repetitions: [1, 2, 3, 4], }, { name: '[tile] Throw if any value in repetitions is zero.', input: {dataType: 'int32', shape: [1, 2, 3, 4]}, repetitions: [0, 1, 2, 3], }, { name: '[tile] Throw if any value in repetitions is negative.', input: {dataType: 'int32', shape: [1, 2, 3, 4]}, repetitions: [-1, 1, 2, 3], }, { name: '[tile] Throw if any value in repetitions causes tiled dimension size overflow.', input: {dataType: 'int32', shape: [1, 2, 3, 4]}, repetitions: [1, 1, kMaxUnsignedLong, 3], } ]; 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.tile(input, test.repetitions, test.options); assert_equals(output.dataType, test.output.dataType); assert_array_equals(output.shape, test.output.shape); } else { const options = {...test.options}; if (options.label) { builder.tile(input, test.repetitions, options); assert_throws_with_label( () => builder.tile(input, test.repetitions, options), regrexp); } else { assert_throws_js( TypeError, () => builder.tile(input, test.repetitions, options)); } } }, test.name)); promise_test(async t => { const builder = new MLGraphBuilder(context); const input = builder.input('input', { dataType: 'float32', shape: [1, 1, 1, context.opSupportLimits().maxTensorByteLength / 4]}); const options = {label}; const repetitions = [1, 2, 3, 4]; assert_throws_with_label( () => builder.tile(input, repetitions, options), regrexp); }, '[tile] throw if the output tensor byte length exceeds limit');