122 lines
3.9 KiB
JavaScript
122 lines
3.9 KiB
JavaScript
// META: title=validation tests for WebNN API matmul operation
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// META: global=window
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// META: variant=?cpu
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// META: variant=?gpu
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// META: variant=?npu
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// META: script=../resources/utils_validation.js
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'use strict';
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const label = 'matmul_123';
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validateTwoInputsFromMultipleBuilders('matmul');
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validateTwoBroadcastableInputsTensorLimit('matmul', label);
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const tests = [
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{
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name: '[matmul] Throw if first input\'s rank is less than 2',
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inputs: {
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a: {dataType: 'float32', shape: [2]},
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b: {dataType: 'float32', shape: [2, 2]}
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}
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},
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{
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name: '[matmul] Throw if second input\'s rank is less than 2',
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inputs: {
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a: {dataType: 'float32', shape: [2, 2]},
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b: {dataType: 'float32', shape: [2]}
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}
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},
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{
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name: '[matmul] Test with 2-D input and 4-D input',
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inputs: {
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a: {dataType: 'float32', shape: [1, 4]},
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b: {dataType: 'float32', shape: [2, 2, 4, 2]}
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},
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output: {dataType: 'float32', shape: [2, 2, 1, 2]}
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},
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{
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name: '[matmul] Test with 2-D input and 2-D input',
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inputs: {
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a: {dataType: 'float32', shape: [4, 2]},
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b: {dataType: 'float32', shape: [2, 3]}
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},
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output: {dataType: 'float32', shape: [4, 3]}
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},
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{
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// batchShape is a clone of inputShape with the spatial dimensions
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// (last 2 items) removed.
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name:
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'[matmul] Test with 3-D input and 3-D input of broadcastable batchShape',
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inputs: {
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a: {dataType: 'float32', shape: [2, 3, 4]},
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b: {dataType: 'float32', shape: [1, 4, 1]}
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},
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output: {dataType: 'float32', shape: [2, 3, 1]}
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},
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{
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// batchShape is a clone of inputShape with the spatial dimensions
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// (last 2 items) removed.
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name:
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'[matmul] Test with 4-D input and 3-D input of broadcastable batchShape',
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inputs: {
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a: {dataType: 'float32', shape: [2, 2, 3, 4]},
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b: {dataType: 'float32', shape: [1, 4, 5]}
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},
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output: {dataType: 'float32', shape: [2, 2, 3, 5]}
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},
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{
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name: '[matmul] Test with 3-D input and 3-D input',
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inputs: {
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a: {dataType: 'float32', shape: [2, 3, 4]},
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b: {dataType: 'float32', shape: [2, 4, 5]}
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},
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output: {dataType: 'float32', shape: [2, 3, 5]}
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},
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{
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name: '[matmul] Throw if the input data type is not floating point',
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inputs: {
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a: {dataType: 'uint32', shape: [2, 3, 4]},
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b: {dataType: 'uint32', shape: [2, 4, 5]}
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}
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},
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{
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name: '[matmul] Throw if data type of two inputs don\'t match',
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inputs: {
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a: {dataType: 'float32', shape: [2, 3, 4]},
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b: {dataType: 'float16', shape: [2, 4, 5]}
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}
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},
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{
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name:
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'[matmul] Throw if columns of first input\'s shape doesn\'t match the rows of second input\'s shape',
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inputs: {
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a: {dataType: 'float32', shape: /* [rows, columns] */[2, 3]},
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b: {dataType: 'float32', shape: /* [rows, columns] */[2, 4]}
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},
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},
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{
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// batchShape is a clone of inputShape with the spatial dimensions
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// (last 2 items) removed.
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name: '[matmul] Throw if batchShapes aren\'t bidirectionally broadcastable',
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inputs: {
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a: {dataType: 'float32', shape: [3, 3, 4]},
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b: {dataType: 'float32', shape: [2, 4, 1]}
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},
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},
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];
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tests.forEach(test => promise_test(async t => {
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const builder = new MLGraphBuilder(context);
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const inputA = builder.input('a', test.inputs.a);
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const inputB = builder.input('b', test.inputs.b);
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if (test.output) {
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const output = builder.matmul(inputA, inputB);
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assert_equals(output.dataType, test.output.dataType);
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assert_array_equals(output.shape, test.output.shape);
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} else {
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const options = {label};
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const regrexp = new RegExp('\\[' + label + '\\]');
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assert_throws_with_label(
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() => builder.matmul(inputA, inputB, options), regrexp);
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}
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}, test.name));
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