97 lines
4 KiB
JavaScript
97 lines
4 KiB
JavaScript
// META: title=validation tests for WebNN API scatterND 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 tests = [
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{
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name: '[scatterND] Test scatterND with valid tensors',
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input: {dataType: 'float32', shape: [4, 4, 4]},
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indices: {dataType: 'int32', shape: [2, 1]},
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updates: {dataType: 'float32', shape: [2, 4, 4]},
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output: {dataType: 'float32', shape: [4, 4, 4]}
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},
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{
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name:
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'[scatterND] Throw if updates tensor data type is not the same as input data type',
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input: {dataType: 'float32', shape: [4, 4, 4]},
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indices: {dataType: 'int32', shape: [2, 1]},
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updates: {dataType: 'float16', shape: [2, 4, 4]},
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},
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{
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name: '[scatterND] Throw if input is a scalar',
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input: {dataType: 'float32', shape: []},
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indices: {dataType: 'int32', shape: [2, 1]},
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updates: {dataType: 'float32', shape: [2, 4, 4]},
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},
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{
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name: '[scatterND] Throw if indices is a scalar',
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input: {dataType: 'float32', shape: [4, 4, 4]},
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indices: {dataType: 'int32', shape: []},
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updates: {dataType: 'float32', shape: [2, 4, 4]},
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},
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{
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name:
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'[scatterND] Throw if the size of last dimension of indices tensor is greater than input rank',
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input: {dataType: 'float32', shape: [4, 4, 4]},
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indices: {dataType: 'int32', shape: [2, 4]},
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updates: {dataType: 'float32', shape: [2, 4, 4]},
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},
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{
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name: '[scatterND] Throw if updates tensor shape is invalid.',
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input: {dataType: 'float32', shape: [4, 4, 4]},
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indices: {dataType: 'int32', shape: [2, 1]},
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// Updates tensor shape should be [2, 4, 4].
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updates: {dataType: 'float32', shape: [2, 3, 4]},
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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 input = builder.input('input', test.input);
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const indices = builder.input('indices', test.indices);
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const updates = builder.input('updates', test.updates);
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if (test.output) {
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const output = builder.scatterND(input, indices, updates);
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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 label = 'a_scatter_nd'
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const options = {label};
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const regexp = new RegExp('\\[' + label + '\\]');
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assert_throws_with_label(
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() => builder.scatterND(input, indices, updates, options),
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regexp);
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}
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}, test.name));
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multi_builder_test(async (t, builder, otherBuilder) => {
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const input = otherBuilder.input('input', {dataType: 'float32', shape: [8]});
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const indices = builder.input('indices', {dataType: 'int32', shape: [4, 1]});
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const updates = builder.input('indices', {dataType: 'int32', shape: [4]});
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assert_throws_js(TypeError, () => builder.scatterND(input, indices, updates));
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}, '[scatterND] Throw if input is from another builder');
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multi_builder_test(async (t, builder, otherBuilder) => {
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const input = builder.input('input', {dataType: 'float32', shape: [8]});
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const indices =
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otherBuilder.input('indices', {dataType: 'int32', shape: [4, 1]});
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const updates = builder.input('indices', {dataType: 'int32', shape: [4]});
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assert_throws_js(TypeError, () => builder.scatterND(input, indices, updates));
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}, '[scatterND] Throw if indcies is from another builder');
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multi_builder_test(async (t, builder, otherBuilder) => {
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const input = builder.input('input', {dataType: 'float32', shape: [8]});
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const indices = builder.input('indices', {dataType: 'int32', shape: [4, 1]});
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const updates =
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otherBuilder.input('indices', {dataType: 'int32', shape: [4]});
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assert_throws_js(TypeError, () => builder.scatterND(input, indices, updates));
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}, '[scatterND] Throw if updates is from another builder');
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