mozilla-central/testing/web-platform/tests/webnn/validation_tests/matmul.https.any.js (file symbol)

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Test Info: Warnings

// META: title=validation tests for WebNN API matmul operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// 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', shape: [2]},
b: {dataType: 'float32', shape: [2, 2]}
}
},
{
name: '[matmul] Throw if second input\'s rank is less than 2',
inputs: {
a: {dataType: 'float32', shape: [2, 2]},
b: {dataType: 'float32', shape: [2]}
}
},
{
name: '[matmul] Test with 2-D input and 4-D input',
inputs: {
a: {dataType: 'float32', shape: [1, 4]},
b: {dataType: 'float32', shape: [2, 2, 4, 2]}
},
output: {dataType: 'float32', shape: [2, 2, 1, 2]}
},
{
name: '[matmul] Test with 2-D input and 2-D input',
inputs: {
a: {dataType: 'float32', shape: [4, 2]},
b: {dataType: 'float32', shape: [2, 3]}
},
output: {dataType: 'float32', shape: [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', shape: [2, 3, 4]},
b: {dataType: 'float32', shape: [1, 4, 1]}
},
output: {dataType: 'float32', shape: [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', shape: [2, 2, 3, 4]},
b: {dataType: 'float32', shape: [1, 4, 5]}
},
output: {dataType: 'float32', shape: [2, 2, 3, 5]}
},
{
name: '[matmul] Test with 3-D input and 3-D input',
inputs: {
a: {dataType: 'float32', shape: [2, 3, 4]},
b: {dataType: 'float32', shape: [2, 4, 5]}
},
output: {dataType: 'float32', shape: [2, 3, 5]}
},
{
name: '[matmul] Throw if the input data type is not floating point',
inputs: {
a: {dataType: 'uint32', shape: [2, 3, 4]},
b: {dataType: 'uint32', shape: [2, 4, 5]}
}
},
{
name: '[matmul] Throw if data type of two inputs don\'t match',
inputs: {
a: {dataType: 'float32', shape: [2, 3, 4]},
b: {dataType: 'float16', shape: [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', shape: /* [rows, columns] */[2, 3]},
b: {dataType: 'float32', shape: /* [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', shape: [3, 3, 4]},
b: {dataType: 'float32', shape: [2, 4, 1]}
},
},
];
tests.forEach(test => promise_test(async t => {
const builder = new MLGraphBuilder(context);
const inputA = builder.input('a', test.inputs.a);
const inputB = builder.input('b', test.inputs.b);
if (test.output) {
const output = builder.matmul(inputA, inputB);
assert_equals(output.dataType, test.output.dataType);
assert_array_equals(output.shape, test.output.shape);
} else {
const label = 'matmul_123';
const options = {label};
const regrexp = new RegExp('\\[' + label + '\\]');
assert_throws_with_label(
() => builder.matmul(inputA, inputB, options), regrexp);
}
}, test.name));