| // 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'); |