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// META: title=validation tests for WebNN API gather operation
// META: global=window,dedicatedworker
// META: script=../resources/utils_validation.js
// META: timeout=long
'use strict';
const tests = [
{
name: '[gather] Test gather with default options and 0-D indices',
input: {dataType: 'int32', dimensions: [3]},
indices: {dataType: 'uint64', dimensions: []},
output: {dataType: 'int32', dimensions: []}
},
{
name: '[gather] Test gather with axis = 2',
input: {dataType: 'float32', dimensions: [1, 2, 3, 4]},
indices: {dataType: 'int64', dimensions: [5, 6]},
axis: 2,
output: {dataType: 'float32', dimensions: [1, 2, 5, 6, 4]}
},
{
name: '[gather] TypeError is expected if the input is a scalar',
input: {dataType: 'float16', dimensions: []},
indices: {dataType: 'int64', dimensions: [1]}
},
{
name: '[gather] TypeError is expected if the axis is greater than the rank of input',
input: {dataType: 'float16', dimensions: [1, 2, 3]},
indices: {dataType: 'int32', dimensions: [5, 6]},
axis: 4
},
{
name: '[gather] TypeError is expected if the data type of indices is invalid',
input: {dataType: 'float16', dimensions: [1, 2, 3, 4]},
indices: {dataType: 'float32', dimensions: [5, 6]}
}
];
tests.forEach(
test => promise_test(async t => {
const input = builder.input(
'input',
{dataType: test.input.dataType, dimensions: test.input.dimensions});
const indices = builder.input(
'indices',
{dataType: test.indices.dataType, dimensions: test.indices.dimensions});
const options = {};
if (test.axis) {
options.axis = test.axis;
}
if (test.output) {
const output = builder.gather(input, indices, options);
assert_equals(output.dataType(), test.output.dataType);
assert_array_equals(output.shape(), test.output.dimensions);
} else {
assert_throws_js(
TypeError, () => builder.gather(input, indices, options));
}
}, test.name));
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