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