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Test Info: Warnings
- This test has a WPT meta file that expects 1 subtest issues.
- This WPT test may be referenced by the following Test IDs:
- /webnn/conformance_tests/cast.https.any.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/cast.https.any.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/cast.https.any.html?npu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/cast.https.any.worker.html?cpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/cast.https.any.worker.html?gpu - WPT Dashboard Interop Dashboard
- /webnn/conformance_tests/cast.https.any.worker.html?npu - WPT Dashboard Interop Dashboard
// META: title=test WebNN API cast operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// Cast each element in the input tensor to the target data type.
// MLOperand cast(MLOperand input, MLOperandDataType type);
const getCastPrecisionTolerance = (graphResources) => {
const toleranceValueDict = {
float32: 1,
float16: 1,
int32: 0,
uint32: 0,
int64: 0,
int8: 0,
uint8: 0
};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
};
const castTests = [
{
'name': 'cast float32 0D tensor to int32',
'graph': {
'inputs': {
'castInput': {
'data': [84.77753448486328],
'descriptor': {shape: [], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput':
{'data': [84], 'descriptor': {shape: [], dataType: 'int32'}}
}
}
},
{
'name': 'cast float32 1D tensor to int32',
'graph': {
'inputs': {
'castInput': {
'data': [
102.1578369140625, -43.5,
52.84621810913086, -99.9583511352539,
6.729493141174316, 92.66157531738281,
-10.377813339233398, 106.65289306640625,
-7.126272678375244, 91.51563262939453,
-50.87134552001953, 83.38890075683594,
72.9759750366211, -31.015382766723633,
79.94034576416016, 41.5,
35.727149963378906, -2.5,
-96.05252838134766, -86.76212310791016,
-27.49382972717285, -23.836687088012695,
70.77123260498047, 83.5
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
102, -43, 52, -99, 6, 92, -10, 106, -7, 91, -50, 83,
72, -31, 79, 41, 35, -2, -96, -86, -27, -23, 70, 83
],
'descriptor': {shape: [24], dataType: 'int32'}
}
}
}
},
{
'name': 'cast float32 2D tensor to int32',
'graph': {
'inputs': {
'castInput': {
'data': [
102.1578369140625, -43.5,
52.84621810913086, -99.9583511352539,
6.729493141174316, 92.66157531738281,
-10.377813339233398, 106.65289306640625,
-7.126272678375244, 91.51563262939453,
-50.87134552001953, 83.38890075683594,
72.9759750366211, -31.015382766723633,
79.94034576416016, 41.5,
35.727149963378906, -2.5,
-96.05252838134766, -86.76212310791016,
-27.49382972717285, -23.836687088012695,
70.77123260498047, 83.5
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
102, -43, 52, -99, 6, 92, -10, 106, -7, 91, -50, 83,
72, -31, 79, 41, 35, -2, -96, -86, -27, -23, 70, 83
],
'descriptor': {shape: [4, 6], dataType: 'int32'}
}
}
}
},
{
'name': 'cast float32 3D tensor to int32',
'graph': {
'inputs': {
'castInput': {
'data': [
102.1578369140625, -43.5,
52.84621810913086, -99.9583511352539,
6.729493141174316, 92.66157531738281,
-10.377813339233398, 106.65289306640625,
-7.126272678375244, 91.51563262939453,
-50.87134552001953, 83.38890075683594,
72.9759750366211, -31.015382766723633,
79.94034576416016, 41.5,
35.727149963378906, -2.5,
-96.05252838134766, -86.76212310791016,
-27.49382972717285, -23.836687088012695,
70.77123260498047, 83.5
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
102, -43, 52, -99, 6, 92, -10, 106, -7, 91, -50, 83,
72, -31, 79, 41, 35, -2, -96, -86, -27, -23, 70, 83
],
'descriptor': {shape: [2, 3, 4], dataType: 'int32'}
}
}
}
},
{
'name': 'cast float32 4D tensor to int32',
'graph': {
'inputs': {
'castInput': {
'data': [
102.1578369140625, -43.5,
52.84621810913086, -99.9583511352539,
6.729493141174316, 92.66157531738281,
-10.377813339233398, 106.65289306640625,
-7.126272678375244, 91.51563262939453,
-50.87134552001953, 83.38890075683594,
72.9759750366211, -31.015382766723633,
79.94034576416016, 41.5,
35.727149963378906, -2.5,
-96.05252838134766, -86.76212310791016,
-27.49382972717285, -23.836687088012695,
70.77123260498047, 83.5
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
102, -43, 52, -99, 6, 92, -10, 106, -7, 91, -50, 83,
72, -31, 79, 41, 35, -2, -96, -86, -27, -23, 70, 83
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'int32'}
}
}
}
},
{
'name': 'cast float32 5D tensor to int32',
'graph': {
'inputs': {
'castInput': {
'data': [
102.1578369140625, -43.5,
52.84621810913086, -99.9583511352539,
6.729493141174316, 92.66157531738281,
-10.377813339233398, 106.65289306640625,
-7.126272678375244, 91.51563262939453,
-50.87134552001953, 83.38890075683594,
72.9759750366211, -31.015382766723633,
79.94034576416016, 41.5,
35.727149963378906, -2.5,
-96.05252838134766, -86.76212310791016,
-27.49382972717285, -23.836687088012695,
70.77123260498047, 83.5
],
'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
102, -43, 52, -99, 6, 92, -10, 106, -7, 91, -50, 83,
72, -31, 79, 41, 35, -2, -96, -86, -27, -23, 70, 83
],
'descriptor': {shape: [2, 1, 4, 1, 3], dataType: 'int32'}
}
}
}
},
{
'name': 'cast float32 4D tensor to float16',
'graph': {
'inputs': {
'castInput': {
'data': [
102.1578369140625, 43.60371780395508, 52.84621810913086,
99.9583511352539, 6.729493141174316, 92.66157531738281,
10.377813339233398, 106.65289306640625, 7.126272678375244,
91.51563262939453, 50.87134552001953, 83.38890075683594,
72.9759750366211, 31.015382766723633, 79.94034576416016,
41.844703674316406, 35.727149963378906, 2.614182949066162,
96.05252838134766, 86.76212310791016, 27.49382972717285,
23.836687088012695, 70.77123260498047, 83.8347396850586
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'float16'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
102.1875, 43.59375, 52.84375, 99.9375, 6.73046875, 92.6875,
10.375, 106.625, 7.125, 91.5, 50.875, 83.375,
73, 31.015625, 79.9375, 41.84375, 35.71875, 2.61328125,
96.0625, 86.75, 27.5, 23.84375, 70.75, 83.8125
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
}
}
},
{
'name': 'cast float32 4D tensor to uint32',
'graph': {
'inputs': {
'castInput': {
'data': [
102.1578369140625, 43.60371780395508, 52.84621810913086,
99.9583511352539, 6.729493141174316, 92.66157531738281,
10.377813339233398, 106.65289306640625, 7.126272678375244,
91.51563262939453, 50.87134552001953, 83.38890075683594,
72.9759750366211, 31.015382766723633, 79.94034576416016,
41.844703674316406, 35.727149963378906, 2.614182949066162,
96.05252838134766, 86.76212310791016, 27.49382972717285,
23.836687088012695, 70.77123260498047, 83.8347396850586
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'uint32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
102, 43, 52, 99, 6, 92, 10, 106, 7, 91, 50, 83,
72, 31, 79, 41, 35, 2, 96, 86, 27, 23, 70, 83
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint32'}
}
}
}
},
{
'name': 'cast float32 4D tensor to int64',
'graph': {
'inputs': {
'castInput': {
'data': [
102.1578369140625, 43.60371780395508, 52.84621810913086,
99.9583511352539, 6.729493141174316, 92.66157531738281,
10.377813339233398, 106.65289306640625, 7.126272678375244,
91.51563262939453, 50.87134552001953, 83.38890075683594,
72.9759750366211, 31.015382766723633, 79.94034576416016,
41.844703674316406, 35.727149963378906, 2.614182949066162,
96.05252838134766, 86.76212310791016, 27.49382972717285,
23.836687088012695, 70.77123260498047, 83.8347396850586
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int64'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
'102', '43', '52', '99', '6', '92', '10', '106',
'7', '91', '50', '83', '72', '31', '79', '41',
'35', '2', '96', '86', '27', '23', '70', '83'
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'int64'}
}
}
}
},
{
'name': 'cast float32 4D tensor to int8',
'graph': {
'inputs': {
'castInput': {
'data': [
102.1578369140625, 43.60371780395508, 52.84621810913086,
99.9583511352539, 6.729493141174316, 92.66157531738281,
10.377813339233398, 106.65289306640625, 7.126272678375244,
91.51563262939453, 50.87134552001953, 83.38890075683594,
72.9759750366211, 31.015382766723633, 79.94034576416016,
41.844703674316406, 35.727149963378906, 2.614182949066162,
96.05252838134766, 86.76212310791016, 27.49382972717285,
23.836687088012695, 70.77123260498047, 83.8347396850586
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int8'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
102, 43, 52, 99, 6, 92, 10, 106, 7, 91, 50, 83,
72, 31, 79, 41, 35, 2, 96, 86, 27, 23, 70, 83
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'int8'}
}
}
}
},
{
'name': 'cast float32 4D tensor to uint8',
'graph': {
'inputs': {
'castInput': {
'data': [
102.1578369140625, 43.60371780395508, 52.84621810913086,
99.9583511352539, 6.729493141174316, 92.66157531738281,
10.377813339233398, 106.65289306640625, 7.126272678375244,
91.51563262939453, 50.87134552001953, 83.38890075683594,
72.9759750366211, 31.015382766723633, 79.94034576416016,
41.844703674316406, 35.727149963378906, 2.614182949066162,
96.05252838134766, 86.76212310791016, 27.49382972717285,
23.836687088012695, 70.77123260498047, 83.8347396850586
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'uint8'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
102, 43, 52, 99, 6, 92, 10, 106, 7, 91, 50, 83,
72, 31, 79, 41, 35, 2, 96, 86, 27, 23, 70, 83
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'cast float16 4D tensor to float32',
'graph': {
'inputs': {
'castInput': {
'data': [
3.103515625, 32.40625, 62.15625, 51.75, 87.0625, 106.25,
125.375, 112.9375, 70.8125, 39.1875, 10.3515625, 21.234375,
99.75, 16.125, 115.625, 66, 49.375, 115.75,
77, 57.15625, 61.6875, 12.9296875, 101.25, 123.9375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'float32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
3.103515625, 32.40625, 62.15625, 51.75, 87.0625, 106.25,
125.375, 112.9375, 70.8125, 39.1875, 10.3515625, 21.234375,
99.75, 16.125, 115.625, 66, 49.375, 115.75,
77, 57.15625, 61.6875, 12.9296875, 101.25, 123.9375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'cast float16 4D tensor to int32',
'graph': {
'inputs': {
'castInput': {
'data': [
3.103515625, 32.40625, 62.15625, 51.75, 87.0625, 106.25,
125.375, 112.9375, 70.8125, 39.1875, 10.3515625, 21.234375,
99.75, 16.125, 115.625, 66, 49.375, 115.75,
77, 57.15625, 61.6875, 12.9296875, 101.25, 123.9375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
3, 32, 62, 51, 87, 106, 125, 112, 70, 39, 10, 21,
99, 16, 115, 66, 49, 115, 77, 57, 61, 12, 101, 123
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'int32'}
}
}
}
},
{
'name': 'cast float16 4D tensor to uint32',
'graph': {
'inputs': {
'castInput': {
'data': [
3.103515625, 32.40625, 62.15625, 51.75, 87.0625, 106.25,
125.375, 112.9375, 70.8125, 39.1875, 10.3515625, 21.234375,
99.75, 16.125, 115.625, 66, 49.375, 115.75,
77, 57.15625, 61.6875, 12.9296875, 101.25, 123.9375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'uint32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
3, 32, 62, 51, 87, 106, 125, 112, 70, 39, 10, 21,
99, 16, 115, 66, 49, 115, 77, 57, 61, 12, 101, 123
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint32'}
}
}
}
},
{
'name': 'cast float16 4D tensor to int64',
'graph': {
'inputs': {
'castInput': {
'data': [
3.103515625, 32.40625, 62.15625, 51.75, 87.0625, 106.25,
125.375, 112.9375, 70.8125, 39.1875, 10.3515625, 21.234375,
99.75, 16.125, 115.625, 66, 49.375, 115.75,
77, 57.15625, 61.6875, 12.9296875, 101.25, 123.9375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int64'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
'3', '32', '62', '51', '87', '106', '125', '112',
'70', '39', '10', '21', '99', '16', '115', '66',
'49', '115', '77', '57', '61', '12', '101', '123'
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'int64'}
}
}
}
},
{
'name': 'cast float16 4D tensor to int8',
'graph': {
'inputs': {
'castInput': {
'data': [
3.103515625, 32.40625, 62.15625, 51.75, 87.0625, 106.25,
125.375, 112.9375, 70.8125, 39.1875, 10.3515625, 21.234375,
99.75, 16.125, 115.625, 66, 49.375, 115.75,
77, 57.15625, 61.6875, 12.9296875, 101.25, 123.9375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int8'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
3, 32, 62, 51, 87, 106, 125, 112, 70, 39, 10, 21,
99, 16, 115, 66, 49, 115, 77, 57, 61, 12, 101, 123
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'int8'}
}
}
}
},
{
'name': 'cast float16 4D tensor to uint8',
'graph': {
'inputs': {
'castInput': {
'data': [
3.103515625, 32.40625, 62.15625, 51.75, 87.0625, 106.25,
125.375, 112.9375, 70.8125, 39.1875, 10.3515625, 21.234375,
99.75, 16.125, 115.625, 66, 49.375, 115.75,
77, 57.15625, 61.6875, 12.9296875, 101.25, 123.9375
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'uint8'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
3, 32, 62, 51, 87, 106, 125, 112, 70, 39, 10, 21,
99, 16, 115, 66, 49, 115, 77, 57, 61, 12, 101, 123
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
}
}
},
{
'name': 'cast int32 4D tensor to float32',
'graph': {
'inputs': {
'castInput': {
'data': [
45, 55, 11, 21, 78, 104, 102, 66, 41, 110, 92, 69,
48, 23, 58, 12, 33, 24, 101, 87, 49, 118, 1, 77
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'int32'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'float32'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
45, 55, 11, 21, 78, 104, 102, 66, 41, 110, 92, 69,
48, 23, 58, 12, 33, 24, 101, 87, 49, 118, 1, 77
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name': 'cast int32 4D constant tensor to float32',
'graph': {
'inputs': {
'castInput': {
'data': [
45, 55, 11, 21, 78, 104, 102, 66, 41, 110, 92, 69,
48, 23, 58, 12, 33, 24, 101, 87, 49, 118, 1, 77
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'int32'},
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'castOutput': {
'data': [
10, 112, 121, 120, 22, 105, 41, 30, 75, 121, 55, 47,
121, 24, 16, 33, 97, 24, 3, 37, 45, 6, 56, 57
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint32'}
}
}
}
},
{
'name': 'cast uint8 4D tensor to int64',
'graph': {
'inputs': {
'castInput': {
'data': [
10, 112, 121, 120, 22, 105, 41, 30, 75, 121, 55, 47,
121, 24, 16, 33, 97, 24, 3, 37, 45, 6, 56, 57
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int64'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
'10', '112', '121', '120', '22', '105', '41', '30',
'75', '121', '55', '47', '121', '24', '16', '33',
'97', '24', '3', '37', '45', '6', '56', '57'
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'int64'}
}
}
}
},
{
'name': 'cast uint8 4D tensor to int8',
'graph': {
'inputs': {
'castInput': {
'data': [
10, 112, 121, 120, 22, 105, 41, 30, 75, 121, 55, 47,
121, 24, 16, 33, 97, 24, 3, 37, 45, 6, 56, 57
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'uint8'}
}
},
'operators': [{
'name': 'cast',
'arguments': [{'input': 'castInput'}, {'type': 'int8'}],
'outputs': 'castOutput'
}],
'expectedOutputs': {
'castOutput': {
'data': [
10, 112, 121, 120, 22, 105, 41, 30, 75, 121, 55, 47,
121, 24, 16, 33, 97, 24, 3, 37, 45, 6, 56, 57
],
'descriptor': {shape: [2, 2, 2, 3], dataType: 'int8'}
}
}
}
}
];
if (navigator.ml) {
castTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraph, getCastPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}