| // META: title=validation tests for WebNN API split operation |
| // META: global=window |
| // 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: [4, 4]}); |
| |
| const splits = 2; |
| assert_throws_js( |
| TypeError, () => builder.split(inputFromOtherBuilder, splits)); |
| }, '[split] throw if input is from another builder'); |
| |
| const label = 'xxx-split'; |
| const tests = [ |
| { |
| name: '[split] Test with default options.', |
| input: {dataType: 'float32', shape: [2, 6]}, |
| splits: [2], |
| outputs: [ |
| {dataType: 'float32', shape: [2, 6]}, |
| ] |
| }, |
| { |
| name: |
| '[split] Test with a sequence of unsigned long splits and with options.axis = 1.', |
| input: {dataType: 'float32', shape: [2, 6]}, |
| splits: [1, 2, 3], |
| options: {axis: 1}, |
| outputs: [ |
| {dataType: 'float32', shape: [2, 1]}, |
| {dataType: 'float32', shape: [2, 2]}, |
| {dataType: 'float32', shape: [2, 3]}, |
| ] |
| }, |
| { |
| name: '[split] Throw if splitting a scalar.', |
| input: {dataType: 'float32', shape: []}, |
| splits: [2], |
| options: {label} |
| }, |
| { |
| name: '[split] Throw if axis is larger than input rank.', |
| input: {dataType: 'float32', shape: [2, 6]}, |
| splits: [2], |
| options: { |
| axis: 2, |
| label: label, |
| } |
| }, |
| { |
| name: '[split] Throw if splits is equal to 0.', |
| input: {dataType: 'float32', shape: [2, 6]}, |
| splits: [0], |
| options: { |
| axis: 0, |
| label: label, |
| } |
| }, |
| { |
| name: '[split] Throw if splits (scalar) is equal to 0.', |
| input: {dataType: 'float32', shape: [2, 6]}, |
| splits: 0, |
| options: { |
| axis: 0, |
| label: label, |
| }, |
| }, |
| { |
| name: |
| '[split] Throw if the splits can not evenly divide the dimension size of input along options.axis.', |
| input: {dataType: 'float32', shape: [2, 5]}, |
| splits: [2], |
| options: { |
| axis: 1, |
| label: label, |
| } |
| }, |
| { |
| name: |
| '[split] Throw if splits (scalar) can not evenly divide the dimension size of input along options.axis.', |
| input: {dataType: 'float32', shape: [2, 5]}, |
| splits: 2, |
| options: { |
| axis: 1, |
| label: label, |
| }, |
| }, |
| { |
| name: |
| '[split] Throw if the sum of splits sizes not equal to the dimension size of input along options.axis.', |
| input: {dataType: 'float32', shape: [2, 6]}, |
| splits: [2, 2, 3], |
| options: { |
| axis: 1, |
| label: label, |
| } |
| }, |
| ]; |
| |
| tests.forEach( |
| test => promise_test(async t => { |
| const builder = new MLGraphBuilder(context); |
| const input = builder.input('input', test.input); |
| if (test.outputs) { |
| const outputs = builder.split(input, test.splits, test.options); |
| assert_equals(outputs.length, test.outputs.length); |
| for (let i = 0; i < outputs.length; ++i) { |
| assert_equals(outputs[i].dataType, test.outputs[i].dataType); |
| assert_array_equals(outputs[i].shape, test.outputs[i].shape); |
| } |
| } else { |
| const regrexp = new RegExp('\\[' + label + '\\]'); |
| assert_throws_with_label( |
| () => builder.split(input, test.splits, test.options), regrexp); |
| } |
| }, test.name)); |