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

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// META: title=validation tests for WebNN API scatterND operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils_validation.js
'use strict';
const tests = [
{
name: '[scatterND] Test scatterND with valid tensors',
input: {dataType: 'float32', shape: [4, 4, 4]},
indices: {dataType: 'int32', shape: [2, 1]},
updates: {dataType: 'float32', shape: [2, 4, 4]},
output: {dataType: 'float32', shape: [4, 4, 4]}
},
{
name:
'[scatterND] Throw if updates tensor data type is not the same as input data type',
input: {dataType: 'float32', shape: [4, 4, 4]},
indices: {dataType: 'int32', shape: [2, 1]},
updates: {dataType: 'float16', shape: [2, 4, 4]},
},
{
name: '[scatterND] Throw if input is a scalar',
input: {dataType: 'float32', shape: []},
indices: {dataType: 'int32', shape: [2, 1]},
updates: {dataType: 'float32', shape: [2, 4, 4]},
},
{
name: '[scatterND] Throw if indices is a scalar',
input: {dataType: 'float32', shape: [4, 4, 4]},
indices: {dataType: 'int32', shape: []},
updates: {dataType: 'float32', shape: [2, 4, 4]},
},
{
name:
'[scatterND] Throw if the size of last dimension of indices tensor is greater than input rank',
input: {dataType: 'float32', shape: [4, 4, 4]},
indices: {dataType: 'int32', shape: [2, 4]},
updates: {dataType: 'float32', shape: [2, 4, 4]},
},
{
name: '[scatterND] Throw if updates tensor shape is invalid.',
input: {dataType: 'float32', shape: [4, 4, 4]},
indices: {dataType: 'int32', shape: [2, 1]},
// Updates tensor shape should be [2, 4, 4].
updates: {dataType: 'float32', shape: [2, 3, 4]},
}
];
tests.forEach(test => promise_test(async t => {
const builder = new MLGraphBuilder(context);
const input = builder.input('input', test.input);
const indices = builder.input('indices', test.indices);
const updates = builder.input('updates', test.updates);
if (test.output) {
const output = builder.scatterND(input, indices, updates);
assert_equals(output.dataType, test.output.dataType);
assert_array_equals(output.shape, test.output.shape);
} else {
const label = 'a_scatter_nd'
const options = {label};
const regexp = new RegExp('\\[' + label + '\\]');
assert_throws_with_label(
() => builder.scatterND(input, indices, updates, options),
regexp);
}
}, test.name));
multi_builder_test(async (t, builder, otherBuilder) => {
const input = otherBuilder.input('input', {dataType: 'float32', shape: [8]});
const indices = builder.input('indices', {dataType: 'int32', shape: [4, 1]});
const updates = builder.input('indices', {dataType: 'int32', shape: [4]});
assert_throws_js(TypeError, () => builder.scatterND(input, indices, updates));
}, '[scatterND] Throw if input is from another builder');
multi_builder_test(async (t, builder, otherBuilder) => {
const input = builder.input('input', {dataType: 'float32', shape: [8]});
const indices =
otherBuilder.input('indices', {dataType: 'int32', shape: [4, 1]});
const updates = builder.input('indices', {dataType: 'int32', shape: [4]});
assert_throws_js(TypeError, () => builder.scatterND(input, indices, updates));
}, '[scatterND] Throw if indcies is from another builder');
multi_builder_test(async (t, builder, otherBuilder) => {
const input = builder.input('input', {dataType: 'float32', shape: [8]});
const indices = builder.input('indices', {dataType: 'int32', shape: [4, 1]});
const updates =
otherBuilder.input('indices', {dataType: 'int32', shape: [4]});
assert_throws_js(TypeError, () => builder.scatterND(input, indices, updates));
}, '[scatterND] Throw if updates is from another builder');