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// META: title=test WebNN API clamp operation
// META: global=window
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// Clamp the input tensor element-wise within a range specified by the minimum
// and maximum values.
//
// dictionary MLClampOptions {
// MLNumber minValue;
// MLNumber maxValue;
// };
//
// MLOperand clamp(MLOperand input, optional MLClampOptions options = {});
const clampTests = [
{
'name': 'clamp float32 0D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [-9.817828178405762],
'descriptor': {shape: [], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [-9.817828178405762],
'descriptor': {shape: [], dataType: 'float32'}
}
}
}
},
{
'name': 'clamp float32 1D constant tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [24], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'clamp float32 1D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'clamp int8 1D tensor',
'graph': {
'inputs': {
'clampInput': {
'data': [-128, 127, -4, -2, 1, 0, 2, 4],
'descriptor': {shape: [8], dataType: 'int8'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'},
{'options': {'minValue': -2, 'maxValue': 125}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [-2, 125, -2, -2, 1, 0, 2, 4],
'descriptor': {shape: [8], dataType: 'int8'}
}
}
}
},
{
'name': 'clamp uint8 1D tensor',
'graph': {
'inputs': {
'clampInput': {
'data': [255, 127, 5, 0],
'descriptor': {shape: [4], dataType: 'uint8'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': 5, 'maxValue': 200}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [200, 127, 5, 5],
'descriptor': {shape: [4], dataType: 'uint8'}
}
}
}
},
{
'name': 'clamp int32 1D tensor',
'graph': {
'inputs': {
'clampInput': {
'data': [-2147483648, 2147483647, -4, -2, 1, 0, 2, 4],
'descriptor': {shape: [8], dataType: 'int32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'},
{'options': {'minValue': -2, 'maxValue': 2147483645}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [-2, 2147483645, -2, -2, 1, 0, 2, 4],
'descriptor': {shape: [8], dataType: 'int32'}
}
}
}
},
{
'name': 'clamp uint32 1D tensor',
'graph': {
'inputs': {
'clampInput': {
'data': [4294967295, 127, 5, 0],
'descriptor': {shape: [4], dataType: 'uint32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'},
{'options': {'minValue': 5, 'maxValue': 4294967290}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [4294967290, 127, 5, 5],
'descriptor': {shape: [4], dataType: 'uint32'}
}
}
}
},
{
'name': 'clamp int64 1D tensor with bigint max',
'graph': {
'inputs': {
'clampInput': {
'data': [-41, 9007199254740995n, -4, -2, 1, 0, 2, 4],
'descriptor': {shape: [8], dataType: 'int64'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'},
{'options': {'minValue': -2, 'maxValue': 9007199254740992n}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [-2, 9007199254740992n, -2, -2, 1, 0, 2, 4],
'descriptor': {shape: [8], dataType: 'int64'}
}
}
}
},
{
'name': 'clamp uint64 1D tensor with Number min and max',
'graph': {
'inputs': {
'clampInput': {
'data': [5294967295, 127, 5, 0],
'descriptor': {shape: [4], dataType: 'uint64'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'},
{'options': {'minValue': 5, 'maxValue': 5294967290}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [5294967290, 127, 5, 5],
'descriptor': {shape: [4], dataType: 'uint64'}
}
}
}
},
{
'name': 'clamp uint64 1D tensor with bigint max',
'graph': {
'inputs': {
'clampInput': {
'data': [9007199254740995n, 127, 5, 0],
'descriptor': {shape: [4], dataType: 'uint64'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'},
{'options': {'minValue': 5, 'maxValue': 9007199254740992n}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [9007199254740992n, 127, 5, 5],
'descriptor': {shape: [4], dataType: 'uint64'}
}
}
}
},
{
'name': 'clamp float32 2D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [4, 6], dataType: 'float32'}
}
}
}
},
{
'name': 'clamp float32 3D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [2, 3, 4], dataType: 'float32'}
}
}
}
},
{
'name': 'clamp float32 4D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [3, 2, 2, 2], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [3, 2, 2, 2], dataType: 'float32'}
}
}
}
},
{
'name': 'clamp float32 5D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [4, 1, 1, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [4, 1, 1, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 4D tensor default options.maxValue and specified negative options.minValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [2, 1, 4, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'minValue': -1}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-1,
-1,
-1,
-1,
-1,
9.524681091308594,
3.7292487621307373,
6.481687068939209,
-1,
-1,
7.880751132965088,
-1,
6.3438639640808105,
5.525737762451172,
0.8433118462562561,
-1,
-1,
9.280223846435547,
-1,
9.549695014953613,
5.788925647735596,
5.549378395080566,
7.409400463104248,
-1
],
'descriptor': {shape: [2, 1, 4, 3], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 3D tensor default options.maxValue and specified options.minValue=0.0',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [6, 2, 2], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'minValue': 0}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
0,
0,
0,
0,
0,
9.524681091308594,
3.7292487621307373,
6.481687068939209,
0,
0,
7.880751132965088,
0,
6.3438639640808105,
5.525737762451172,
0.8433118462562561,
0,
0,
9.280223846435547,
0,
9.549695014953613,
5.788925647735596,
5.549378395080566,
7.409400463104248,
0
],
'descriptor': {shape: [6, 2, 2], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 2D tensor default options.maxValue and specified positive options.minValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [3, 8], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'minValue': 1}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
1,
1,
1,
1,
1,
9.524681091308594,
3.7292487621307373,
6.481687068939209,
1,
1,
7.880751132965088,
1,
6.3438639640808105,
5.525737762451172,
1,
1,
1,
9.280223846435547,
1,
9.549695014953613,
5.788925647735596,
5.549378395080566,
7.409400463104248,
1
],
'descriptor': {shape: [3, 8], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 5D tensor default options.minValue and specified negative options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'maxValue': -2}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.817828178405762,
-6.024064064025879,
-4.0725626945495605,
-6.575078010559082,
-7.755683898925781,
-2,
-2,
-2,
-2,
-7.34310245513916,
-2,
-2.0564088821411133,
-2,
-2,
-2,
-8.199960708618164,
-7.786487102508545,
-2,
-2.3130595684051514,
-2,
-2,
-2,
-2,
-2.123614549636841
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 1D tensor default options.minValue and specified options.maxValue=0.0',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'maxValue': 0}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.817828178405762,
-6.024064064025879,
-4.0725626945495605,
-6.575078010559082,
-7.755683898925781,
0,
0,
0,
-1.537420630455017,
-7.34310245513916,
0,
-2.0564088821411133,
0,
0,
0,
-8.199960708618164,
-7.786487102508545,
0,
-2.3130595684051514,
0,
0,
0,
0,
-2.123614549636841
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 3D tensor default options.minValue and specified positive options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [3, 4, 2], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'maxValue': 3}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.817828178405762,
-6.024064064025879,
-4.0725626945495605,
-6.575078010559082,
-7.755683898925781,
3,
3,
3,
-1.537420630455017,
-7.34310245513916,
3,
-2.0564088821411133,
3,
3,
0.8433118462562561,
-8.199960708618164,
-7.786487102508545,
3,
-2.3130595684051514,
3,
3,
3,
3,
-2.123614549636841
],
'descriptor': {shape: [3, 4, 2], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 5D tensor specified both negative options.minValue and options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [3, 2, 1, 1, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': -8, 'maxValue': -1}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-8,
-6.024064064025879,
-4.0725626945495605,
-6.575078010559082,
-7.755683898925781,
-1,
-1,
-1,
-1.537420630455017,
-7.34310245513916,
-1,
-2.0564088821411133,
-1,
-1,
-1,
-8,
-7.786487102508545,
-1,
-2.3130595684051514,
-1,
-1,
-1,
-1,
-2.123614549636841
],
'descriptor': {shape: [3, 2, 1, 1, 4], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 4D tensor specified negative options.minValue and options.maxValue=0.0',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [1, 4, 3, 2], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': -6, 'maxValue': 0}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-6,
-6,
-4.0725626945495605,
-6,
-6,
0,
0,
0,
-1.537420630455017,
-6,
0,
-2.0564088821411133,
0,
0,
0,
-6,
-6,
0,
-2.3130595684051514,
0,
0,
0,
0,
-2.123614549636841
],
'descriptor': {shape: [1, 4, 3, 2], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 3D tensor specified negative options.minValue and positive options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [2, 6, 2], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': -3, 'maxValue': 4}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-3,
-3,
-3,
-3,
-3,
4,
3.7292487621307373,
4,
-1.537420630455017,
-3,
4,
-2.0564088821411133,
4,
4,
0.8433118462562561,
-3,
-3,
4,
-2.3130595684051514,
4,
4,
4,
4,
-2.123614549636841
],
'descriptor': {shape: [2, 6, 2], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 2D tensor specified options.minValue=0.0 and positive options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [6, 4], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': 0, 'maxValue': 6}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
0,
0,
0,
0,
0,
6,
3.7292487621307373,
6,
0,
0,
6,
0,
6,
5.525737762451172,
0.8433118462562561,
0,
0,
6,
0,
6,
5.788925647735596,
5.549378395080566,
6,
0
],
'descriptor': {shape: [6, 4], dataType: 'float32'}
}
}
}
},
{
'name':
'clamp float32 1D tensor specified both positive options.minValue and options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.817828178405762, -6.024064064025879, -4.0725626945495605,
-6.575078010559082, -7.755683898925781, 9.524681091308594,
3.7292487621307373, 6.481687068939209, -1.537420630455017,
-7.34310245513916, 7.880751132965088, -2.0564088821411133,
6.3438639640808105, 5.525737762451172, 0.8433118462562561,
-8.199960708618164, -7.786487102508545, 9.280223846435547,
-2.3130595684051514, 9.549695014953613, 5.788925647735596,
5.549378395080566, 7.409400463104248, -2.123614549636841
],
'descriptor': {shape: [24], dataType: 'float32'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': 2, 'maxValue': 7}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
2,
2,
2,
2,
2,
7,
3.7292487621307373,
6.481687068939209,
2,
2,
7,
2,
6.3438639640808105,
5.525737762451172,
2,
2,
2,
7,
2,
7,
5.788925647735596,
5.549378395080566,
7,
2
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
// float16 tests
{
'name': 'clamp float16 0D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [-9.8203125],
'descriptor': {shape: [], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [-9.8203125],
'descriptor': {shape: [], dataType: 'float16'}
}
}
}
},
{
'name': 'clamp float16 1D tensor',
'graph': {
'inputs': {
'clampInput': {
'data': [-64000, 64000, -2, 1, 0],
'descriptor': {shape: [5], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'minValue': -2}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [-2, 64000, -2, 1, 0],
'descriptor': {shape: [5], dataType: 'float16'}
}
}
}
},
{
'name': 'clamp float16 1D constant tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [24], dataType: 'float16'},
'constant': true
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [24], dataType: 'float16'}
}
}
}
},
{
'name': 'clamp float16 1D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [24], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [24], dataType: 'float16'}
}
}
}
},
{
'name': 'clamp float16 2D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [4, 6], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [4, 6], dataType: 'float16'}
}
}
}
},
{
'name': 'clamp float16 3D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [2, 3, 4], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [2, 3, 4], dataType: 'float16'}
}
}
}
},
{
'name': 'clamp float16 4D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [3, 2, 2, 2], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [3, 2, 2, 2], dataType: 'float16'}
}
}
}
},
{
'name': 'clamp float16 5D tensor default options',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [4, 1, 1, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [4, 1, 1, 2, 3], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 4D tensor default options.maxValue and specified negative options.minValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [2, 1, 4, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'minValue': -1}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-1, -1, -1, -1, -1,
9.5234375, 3.728515625, 6.48046875, -1, -1,
7.87890625, -1, 6.34375, 5.52734375, 0.84326171875,
-1, -1, 9.28125, -1, 9.546875,
5.7890625, 5.55078125, 7.41015625, -1
],
'descriptor': {shape: [2, 1, 4, 3], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 3D tensor default options.maxValue and specified options.minValue=0.0',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [6, 2, 2], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'minValue': 0}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
0, 0, 0, 0, 0,
9.5234375, 3.728515625, 6.48046875, 0, 0,
7.87890625, 0, 6.34375, 5.52734375, 0.84326171875,
0, 0, 9.28125, 0, 9.546875,
5.7890625, 5.55078125, 7.41015625, 0
],
'descriptor': {shape: [6, 2, 2], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 2D tensor default options.maxValue and specified positive options.minValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [3, 8], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'minValue': 1}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
1, 1, 1, 1, 1, 9.5234375, 3.728515625,
6.48046875, 1, 1, 7.87890625, 1, 6.34375, 5.52734375,
1, 1, 1, 9.28125, 1, 9.546875, 5.7890625,
5.55078125, 7.41015625, 1
],
'descriptor': {shape: [3, 8], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 5D tensor default options.minValue and specified negative options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'maxValue': -2}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
-2, -2, -2, -2, -7.34375,
-2, -2.056640625, -2, -2, -2,
-8.203125, -7.78515625, -2, -2.3125, -2,
-2, -2, -2, -2.123046875
],
'descriptor': {shape: [2, 2, 1, 2, 3], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 1D tensor default options.minValue and specified options.maxValue=0.0',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [24], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'maxValue': 0}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.8203125, -6.0234375, -4.07421875,
-6.57421875, -7.75390625, 0,
0, 0, -1.537109375,
-7.34375, 0, -2.056640625,
0, 0, 0,
-8.203125, -7.78515625, 0,
-2.3125, 0, 0,
0, 0, -2.123046875
],
'descriptor': {shape: [24], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 3D tensor default options.minValue and specified positive options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [3, 4, 2], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [{'input': 'clampInput'}, {'options': {'maxValue': 3}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-9.8203125, -6.0234375, -4.07421875,
-6.57421875, -7.75390625, 3,
3, 3, -1.537109375,
-7.34375, 3, -2.056640625,
3, 3, 0.84326171875,
-8.203125, -7.78515625, 3,
-2.3125, 3, 3,
3, 3, -2.123046875
],
'descriptor': {shape: [3, 4, 2], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 5D tensor specified both negative options.minValue and options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [3, 2, 1, 1, 4], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': -8, 'maxValue': -1}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-8, -6.0234375, -4.07421875, -6.57421875, -7.75390625, -1, -1,
-1, -1.537109375, -7.34375, -1, -2.056640625, -1, -1,
-1, -8, -7.78515625, -1, -2.3125, -1, -1,
-1, -1, -2.123046875
],
'descriptor': {shape: [3, 2, 1, 1, 4], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 4D tensor specified negative options.minValue and options.maxValue=0.0',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [1, 4, 3, 2], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': -6, 'maxValue': 0}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-6, -6, -4.07421875,
-6, -6, 0,
0, 0, -1.537109375,
-6, 0, -2.056640625,
0, 0, 0,
-6, -6, 0,
-2.3125, 0, 0,
0, 0, -2.123046875
],
'descriptor': {shape: [1, 4, 3, 2], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 3D tensor specified negative options.minValue and positive options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [2, 6, 2], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': -3, 'maxValue': 4}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-3, -3, -3,
-3, -3, 4,
3.728515625, 4, -1.537109375,
-3, 4, -2.056640625,
4, 4, 0.84326171875,
-3, -3, 4,
-2.3125, 4, 4,
4, 4, -2.123046875
],
'descriptor': {shape: [2, 6, 2], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 2D tensor specified options.minValue=0.0 and positive options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [6, 4], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': 0, 'maxValue': 6}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
0, 0, 0, 0, 0,
6, 3.728515625, 6, 0, 0,
6, 0, 6, 5.52734375, 0.84326171875,
0, 0, 6, 0, 6,
5.7890625, 5.55078125, 6, 0
],
'descriptor': {shape: [6, 4], dataType: 'float16'}
}
}
}
},
{
'name':
'clamp float16 1D tensor specified both positive options.minValue and options.maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [
-9.8203125, -6.0234375, -4.07421875, -6.57421875, -7.75390625,
9.5234375, 3.728515625, 6.48046875, -1.537109375, -7.34375,
7.87890625, -2.056640625, 6.34375, 5.52734375, 0.84326171875,
-8.203125, -7.78515625, 9.28125, -2.3125, 9.546875,
5.7890625, 5.55078125, 7.41015625, -2.123046875
],
'descriptor': {shape: [24], dataType: 'float16'}
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'}, {'options': {'minValue': 2, 'maxValue': 7}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
2, 2, 2, 2, 2, 7, 3.728515625, 6.48046875,
2, 2, 7, 2, 6.34375, 5.52734375, 2, 2,
2, 7, 2, 7, 5.7890625, 5.55078125, 7, 2
],
'descriptor': {shape: [24], dataType: 'float16'}
}
}
}
},
{
'name': 'minValue as -Infinity',
'graph': {
'inputs': {
'clampInput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'clamp',
'arguments':
[{'input': 'clampInput'}, {'options': {'minValue': -Infinity}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'}
}
}
}
},
{
'name': 'minValue as Infinity',
'graph': {
'inputs': {
'clampInput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'clamp',
'arguments':
[{'input': 'clampInput'}, {'options': {'minValue': Infinity}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
Infinity, Infinity, Infinity, Infinity, Infinity, Infinity, Infinity
],
'descriptor': {shape: [7], dataType: 'float32'}
}
}
}
},
{
'name': 'maxValue as -Infinity',
'graph': {
'inputs': {
'clampInput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'clamp',
'arguments':
[{'input': 'clampInput'}, {'options': {'maxValue': -Infinity}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [
-Infinity, -Infinity, -Infinity, -Infinity, -Infinity, -Infinity,
-Infinity
],
'descriptor': {shape: [7], dataType: 'float32'}
}
}
}
},
{
'name': 'maxValue as Infinity',
'graph': {
'inputs': {
'clampInput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'clamp',
'arguments':
[{'input': 'clampInput'}, {'options': {'maxValue': Infinity}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'}
}
}
}
},
{
'name': 'minValue == maxValue',
'graph': {
'inputs': {
'clampInput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'clamp',
'arguments': [
{'input': 'clampInput'},
{'options': {'minValue': 0.5, 'maxValue': 0.5}}
],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5],
'descriptor': {shape: [7], dataType: 'float32'}
}
}
}
},
{
'name': 'minValue as NaN',
'graph': {
'inputs': {
'clampInput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'clamp',
'arguments':
[{'input': 'clampInput'}, {'options': {'minValue': NaN}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'}
}
}
}
},
{
'name': 'maxValue as NaN',
'graph': {
'inputs': {
'clampInput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'clamp',
'arguments':
[{'input': 'clampInput'}, {'options': {'maxValue': NaN}}],
'outputs': 'clampOutput'
}],
'expectedOutputs': {
'clampOutput': {
'data': [-Infinity, Infinity, -3e35, 2147483647, -2, 1, 0],
'descriptor': {shape: [7], dataType: 'float32'}
}
}
}
},
];
if (navigator.ml) {
clampTests.filter(isTargetTest).forEach((test) => {
webnn_conformance_test(buildAndExecuteGraph, getPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}