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Test Info:
- This WPT test may be referenced by the following Test IDs:
- /webnn/validation_tests/dequantizeLinear.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/validation_tests/dequantizeLinear.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/validation_tests/dequantizeLinear.https.any.html?npu - WPT Dashboard Interop Dashboard
- /webnn/validation_tests/dequantizeLinear.https.any.worker.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/validation_tests/dequantizeLinear.https.any.worker.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/validation_tests/dequantizeLinear.https.any.worker.html?npu - WPT Dashboard Interop Dashboard
// META: title=validation tests for WebNN API prelu 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:
'[dequantizeLinear] Test scale\'s shape = [3, 2, 5] and zeroPoint\'s shape = [3, 2, 5] which is the same as input\'s shape.',
input: {dataType: 'int8', shape: [3, 2, 5]},
scale: {dataType: 'float32', shape: [3, 2, 5]},
zeroPoint: {dataType: 'int8', shape: [3, 2, 5]},
output: {dataType: 'float32', shape: [3, 2, 5]},
},
{
name:
'[dequantizeLinear] Test scale\'s shape = [5] and zeroPoint\'s shape = [5] which is unidirectionally broadcastable to input\'s shape.',
input: {dataType: 'int8', shape: [3, 2, 5]},
scale: {dataType: 'float32', shape: [5]},
zeroPoint: {dataType: 'int8', shape: [5]},
output: {dataType: 'float32', shape: [3, 2, 5]},
},
{
name:
'[dequantizeLinear] Test scale\'s shape = [] and zeroPoint\'s shape = [] which is unidirectionally broadcastable to input\'s shape.',
input: {dataType: 'uint8', shape: [3, 2, 5]},
scale: {dataType: 'float32', shape: []},
zeroPoint: {dataType: 'uint8', shape: []},
output: {dataType: 'float32', shape: [3, 2, 5]},
},
{
name:
'[dequantizeLinear] Test block-wise quantization with block_size = [2, 2, 5].',
input: {dataType: 'uint8', shape: [6, 4, 5]},
scale: {dataType: 'float32', shape: [3, 2, 1]},
zeroPoint: {dataType: 'uint8', shape: [3, 2, 1]},
output: {dataType: 'float32', shape: [6, 4, 5]},
},
{
name:
'[dequantizeLinear] Throw if the scale size is not a factor of input size.',
input: {dataType: 'uint8', shape: [3, 2, 5]},
scale: {dataType: 'float32', shape: [2]},
zeroPoint: {dataType: 'uint8', shape: [2]},
},
{
name:
'[dequantizeLinear] Throw if the shape of zero_point is not the same as the shape of input.',
input: {dataType: 'uint8', shape: [3, 2, 5]},
scale: {dataType: 'float32', shape: [5]},
zeroPoint: {dataType: 'uint8', shape: [2]},
},
{
name:
'[dequantizeLinear] Throw if the data type of zeroPoint is not the same as the data type of input.',
input: {dataType: 'int8', shape: [3, 2, 5]},
scale: {dataType: 'float32', shape: [5]},
zeroPoint: {dataType: 'uint8', shape: [5]},
},
{
name:
'[dequantizeLinear] Throw if the data type of input is not one of {int4, uint4, int8, uint8}.',
input: {dataType: 'float16', shape: [3, 2, 5]},
scale: {dataType: 'float32', shape: [5]},
zeroPoint: {dataType: 'int8', shape: [5]},
},
{
name:
'[dequantizeLinear] Throw if the data type of zero_point is not one of {int4, uint4, int8, uint8}.',
input: {dataType: 'int8', shape: [3, 2, 5]},
scale: {dataType: 'float32', shape: [5]},
zeroPoint: {dataType: 'int32', shape: [5]},
},
{
name: '[dequantizeLinear] Throw if the data type of scale is float32.',
input: {dataType: 'uint8', shape: [3, 2, 5]},
scale: {dataType: 'int32', shape: [5]},
zeroPoint: {dataType: 'uint8', shape: [5]},
},
];
tests.forEach(
test => promise_test(async t => {
const builder = new MLGraphBuilder(context);
const input = builder.input('input', test.input);
const scale = builder.input('scale', test.scale);
const zeroPoint = builder.input('zeroPoint', test.zeroPoint);
if (test.output) {
const output = builder.dequantizeLinear(input, scale, zeroPoint);
assert_equals(output.dataType, test.output.dataType);
assert_array_equals(output.shape, test.output.shape);
} else {
const label = 'dequantize_linear_123';
const options = {label};
const regrexp = new RegExp('\\[' + label + '\\]');
assert_throws_with_label(
() => builder.dequantizeLinear(input, scale, zeroPoint, options),
regrexp);
}
}, test.name));
const kExampleInputDescriptor = {
dataType: 'int8',
shape: [2, 4]
};
const kExampleScaleDescriptor = {
dataType: 'float32',
shape: [2, 4]
};
multi_builder_test(async (t, builder, otherBuilder) => {
const inputFromOtherBuilder =
otherBuilder.input('input', kExampleInputDescriptor);
const scale = builder.input('scale', kExampleScaleDescriptor);
const zeroPoint = builder.input('zeroPoint', kExampleInputDescriptor);
assert_throws_js(
TypeError,
() => builder.dequantizeLinear(inputFromOtherBuilder, scale, zeroPoint));
}, '[dequantizeLinear] throw if input is from another builder');
multi_builder_test(async (t, builder, otherBuilder) => {
const scaleFromOtherBuilder =
otherBuilder.input('scale', kExampleScaleDescriptor);
const input = builder.input('input', kExampleInputDescriptor);
const zeroPoint = builder.input('zeroPoint', kExampleInputDescriptor);
assert_throws_js(
TypeError,
() => builder.dequantizeLinear(input, scaleFromOtherBuilder, zeroPoint));
}, '[dequantizeLinear] throw if scale is from another builder');
multi_builder_test(async (t, builder, otherBuilder) => {
const zeroPointFromOtherBuilder =
otherBuilder.input('zeroPoint', kExampleInputDescriptor);
const input = builder.input('input', kExampleInputDescriptor);
const scale = builder.input('scale', kExampleScaleDescriptor);
assert_throws_js(
TypeError,
() => builder.dequantizeLinear(input, scale, zeroPointFromOtherBuilder));
}, '[dequantizeLinear] throw if zeroPoint is from another builder');