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

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// META: title=test WebNN API concat operation
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long
'use strict';
// Concatenates the input tensors along a given axis.
//
// MLOperand concat(
// sequence<MLOperand> inputs, [EnforceRange] unsigned long axis);
const getConcatPrecisionTolerance = (graphResources) => {
const toleranceValueDict = {float32: 0, float16: 0};
const expectedDataType =
getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
};
const buildAndExecuteGraphWithConcat =
async (context, builder, graphResources) => {
const graphInputs = graphResources.inputs;
const operator = graphResources.operators[0];
const inputOperands = [];
const inputNameArray =
operator.arguments[0][Object.keys(operator.arguments[0])[0]];
for (const inputName of inputNameArray) {
const operand =
createOperand(context, builder, inputName, graphInputs[inputName]);
inputOperands.push(operand);
}
let outputOperand = builder[operator.name](
inputOperands,
operator.arguments[1][Object.keys(operator.arguments[1])[0]]);
const outputOperandName = Object.keys(graphResources.expectedOutputs)[0];
const expectedDescriptor =
graphResources.expectedOutputs[outputOperandName].descriptor;
if (!context.opSupportLimits().output.dataTypes.includes(
expectedDescriptor.dataType)) {
const compatibleType = findCompatibleType(
expectedDescriptor.dataType,
context.opSupportLimits().output.dataTypes);
outputOperand = builder.cast(outputOperand, compatibleType);
expectedDescriptor.castedType = compatibleType;
}
assertDescriptorsEquals(outputOperand, expectedDescriptor);
const namedOutputOperand = {};
namedOutputOperand[outputOperandName] = outputOperand;
// Compile the constructed graph.
const graph = await builder.build(namedOutputOperand);
// Execute the compiled graph.
const result = await computeGraph(
context, graph, graphInputs, graphResources.expectedOutputs);
return {result, namedOutputOperand};
};
const concatTests = [
{
'name': 'concat two float32 1D constant tensors of same shape along axis 0',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349
],
'descriptor': {shape: [12], dataType: 'float32'},
'constant': true
},
'concatInput2': {
'data': [
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [12], dataType: 'float32'},
'constant': true
}
},
'operators': [{
'name': 'concat',
'arguments':
[{'inputs': ['concatInput1', 'concatInput2']}, {'axis': 0}],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349,
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'concat two float32 1D tensors of same shape along axis 0',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349
],
'descriptor': {shape: [12], dataType: 'float32'}
},
'concatInput2': {
'data': [
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [12], dataType: 'float32'}
}
},
'operators': [{
'name': 'concat',
'arguments':
[{'inputs': ['concatInput1', 'concatInput2']}, {'axis': 0}],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349,
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'concat two float16 1D tensors of same shape along axis 0',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349
],
'descriptor': {shape: [12], dataType: 'float16'}
},
'concatInput2': {
'data': [
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [12], dataType: 'float16'}
}
},
'operators': [{
'name': 'concat',
'arguments':
[{'inputs': ['concatInput1', 'concatInput2']}, {'axis': 0}],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.39453125, 0.86181640625, 0.337890625, -0.99072265625,
0.57666015625, 0.32275390625, -0.447265625, 0.11029052734375,
-0.5947265625, -0.40283203125, -0.953125, -0.67333984375,
0.491943359375, -0.15869140625, -0.341796875, -0.916015625,
-0.720703125, -0.79931640625, 0.66552734375, 0.038848876953125,
0.51806640625, -0.8740234375, -0.47900390625, 0.12115478515625
],
'descriptor': {shape: [24], dataType: 'float16'}
}
}
}
},
{
'name':
'concat three float32 1D tensors of different 1st dimension along axis 0',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407
],
'descriptor': {shape: [4], dataType: 'float32'}
},
'concatInput2': {
'data': [
0.576785683631897, 0.32276400923728943, -0.44735023379325867,
0.11028251051902771, -0.5945112705230713, -0.402848482131958,
-0.9531654119491577, -0.6731740236282349
],
'descriptor': {shape: [8], dataType: 'float32'}
},
'concatInput3': {
'data': [
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [12], dataType: 'float32'}
}
},
'operators': [{
'name': 'concat',
'arguments': [
{'inputs': ['concatInput1', 'concatInput2', 'concatInput3']},
{'axis': 0}
],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349,
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name':
'concat three float16 1D tensors of different 1st dimension along axis 0',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407
],
'descriptor': {shape: [4], dataType: 'float16'}
},
'concatInput2': {
'data': [
0.576785683631897, 0.32276400923728943, -0.44735023379325867,
0.11028251051902771, -0.5945112705230713, -0.402848482131958,
-0.9531654119491577, -0.6731740236282349
],
'descriptor': {shape: [8], dataType: 'float16'}
},
'concatInput3': {
'data': [
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [12], dataType: 'float16'}
}
},
'operators': [{
'name': 'concat',
'arguments': [
{'inputs': ['concatInput1', 'concatInput2', 'concatInput3']},
{'axis': 0}
],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.39453125, 0.86181640625, 0.337890625, -0.99072265625,
0.57666015625, 0.32275390625, -0.447265625, 0.11029052734375,
-0.5947265625, -0.40283203125, -0.953125, -0.67333984375,
0.491943359375, -0.15869140625, -0.341796875, -0.916015625,
-0.720703125, -0.79931640625, 0.66552734375, 0.038848876953125,
0.51806640625, -0.8740234375, -0.47900390625, 0.12115478515625
],
'descriptor': {shape: [24], dataType: 'float16'}
}
}
}
},
{
'name': 'concat four float32 1D tensors of same 1st dimension along axis 0',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943
],
'descriptor': {shape: [6], dataType: 'float32'}
},
'concatInput2': {
'data': [
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349
],
'descriptor': {shape: [6], dataType: 'float32'}
},
'concatInput3': {
'data': [
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802
],
'descriptor': {shape: [6], dataType: 'float32'}
},
'concatInput4': {
'data': [
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [6], dataType: 'float32'}
}
},
'operators': [{
'name': 'concat',
'arguments': [
{
'inputs':
['concatInput1', 'concatInput2', 'concatInput3', 'concatInput4']
},
{'axis': 0}
],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349,
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name': 'concat four float16 1D tensors of same 1st dimension along axis 0',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943
],
'descriptor': {shape: [6], dataType: 'float16'}
},
'concatInput2': {
'data': [
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349
],
'descriptor': {shape: [6], dataType: 'float16'}
},
'concatInput3': {
'data': [
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802
],
'descriptor': {shape: [6], dataType: 'float16'}
},
'concatInput4': {
'data': [
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [6], dataType: 'float16'}
}
},
'operators': [{
'name': 'concat',
'arguments': [
{
'inputs':
['concatInput1', 'concatInput2', 'concatInput3', 'concatInput4']
},
{'axis': 0}
],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.39453125, 0.86181640625, 0.337890625, -0.99072265625,
0.57666015625, 0.32275390625, -0.447265625, 0.11029052734375,
-0.5947265625, -0.40283203125, -0.953125, -0.67333984375,
0.491943359375, -0.15869140625, -0.341796875, -0.916015625,
-0.720703125, -0.79931640625, 0.66552734375, 0.038848876953125,
0.51806640625, -0.8740234375, -0.47900390625, 0.12115478515625
],
'descriptor': {shape: [24], dataType: 'float16'}
}
}
}
},
{
'name':
'concat four float32 1D tensors of different 1st dimension along axis 0',
'graph': {
'inputs': {
'concatInput1': {
'data': [-0.3944413363933563, 0.861982524394989],
'descriptor': {shape: [2], dataType: 'float32'}
},
'concatInput2': {
'data': [
0.337996244430542, -0.990639865398407, 0.576785683631897,
0.32276400923728943
],
'descriptor': {shape: [4], dataType: 'float32'}
},
'concatInput3': {
'data': [
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349,
0.49189892411231995, -0.15864109992980957
],
'descriptor': {shape: [8], dataType: 'float32'}
},
'concatInput4': {
'data': [
-0.3418811559677124, -0.9158143401145935, -0.7206121683120728,
-0.7993468642234802, 0.6653800010681152, 0.03886038810014725,
0.5182055234909058, -0.8742017149925232, -0.4790218770503998,
0.1211843192577362
],
'descriptor': {shape: [10], dataType: 'float32'}
}
},
'operators': [{
'name': 'concat',
'arguments': [
{
'inputs':
['concatInput1', 'concatInput2', 'concatInput3', 'concatInput4']
},
{'axis': 0}
],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349,
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [24], dataType: 'float32'}
}
}
}
},
{
'name':
'concat four float16 1D tensors of different 1st dimension along axis 0',
'graph': {
'inputs': {
'concatInput1': {
'data': [-0.3944413363933563, 0.861982524394989],
'descriptor': {shape: [2], dataType: 'float16'}
},
'concatInput2': {
'data': [
0.337996244430542, -0.990639865398407, 0.576785683631897,
0.32276400923728943
],
'descriptor': {shape: [4], dataType: 'float16'}
},
'concatInput3': {
'data': [
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349,
0.49189892411231995, -0.15864109992980957
],
'descriptor': {shape: [8], dataType: 'float16'}
},
'concatInput4': {
'data': [
-0.3418811559677124, -0.9158143401145935, -0.7206121683120728,
-0.7993468642234802, 0.6653800010681152, 0.03886038810014725,
0.5182055234909058, -0.8742017149925232, -0.4790218770503998,
0.1211843192577362
],
'descriptor': {shape: [10], dataType: 'float16'}
}
},
'operators': [{
'name': 'concat',
'arguments': [
{
'inputs':
['concatInput1', 'concatInput2', 'concatInput3', 'concatInput4']
},
{'axis': 0}
],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.39453125, 0.86181640625, 0.337890625, -0.99072265625,
0.57666015625, 0.32275390625, -0.447265625, 0.11029052734375,
-0.5947265625, -0.40283203125, -0.953125, -0.67333984375,
0.491943359375, -0.15869140625, -0.341796875, -0.916015625,
-0.720703125, -0.79931640625, 0.66552734375, 0.038848876953125,
0.51806640625, -0.8740234375, -0.47900390625, 0.12115478515625
],
'descriptor': {shape: [24], dataType: 'float16'}
}
}
}
},
{
'name': 'concat two float32 2D tensors of same shape along axis 0',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349
],
'descriptor': {shape: [2, 6], dataType: 'float32'}
},
'concatInput2': {
'data': [
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [2, 6], dataType: 'float32'}
}
},
'operators': [{
'name': 'concat',
'arguments':
[{'inputs': ['concatInput1', 'concatInput2']}, {'axis': 0}],
'outputs': 'concatOutput'
}],
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'operators': [{
'name': 'concat',
'arguments': [
{'inputs': ['concatInput1', 'concatInput2', 'concatInput3']},
{'axis': 2}
],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.39453125, 0.86181640625, 0.57666015625, 0.32275390625,
-0.447265625, 0.11029052734375, 0.491943359375, -0.15869140625,
-0.341796875, -0.916015625, -0.720703125, -0.79931640625,
0.337890625, -0.99072265625, -0.5947265625, -0.40283203125,
-0.953125, -0.67333984375, 0.66552734375, 0.038848876953125,
0.51806640625, -0.8740234375, -0.47900390625, 0.12115478515625
],
'descriptor': {shape: [1, 2, 6, 1, 2], dataType: 'float16'}
}
}
}
},
{
'name':
'concat two float32 5D tensors of same others dimensions except different 4th dimension along axis 3',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943
],
'descriptor': {shape: [3, 1, 1, 1, 2], dataType: 'float32'}
},
'concatInput2': {
'data': [
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349,
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [3, 1, 1, 3, 2], dataType: 'float32'}
}
},
'operators': [{
'name': 'concat',
'arguments':
[{'inputs': ['concatInput1', 'concatInput2']}, {'axis': 3}],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.3944413363933563, 0.861982524394989, -0.44735023379325867,
0.11028251051902771, -0.5945112705230713, -0.402848482131958,
-0.9531654119491577, -0.6731740236282349, 0.337996244430542,
-0.990639865398407, 0.49189892411231995, -0.15864109992980957,
-0.3418811559677124, -0.9158143401145935, -0.7206121683120728,
-0.7993468642234802, 0.576785683631897, 0.32276400923728943,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [3, 1, 1, 4, 2], dataType: 'float32'}
}
}
}
},
{
'name':
'concat two float16 5D tensors of same others dimensions except different 4th dimension along axis 3',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943
],
'descriptor': {shape: [3, 1, 1, 1, 2], dataType: 'float16'}
},
'concatInput2': {
'data': [
-0.44735023379325867, 0.11028251051902771, -0.5945112705230713,
-0.402848482131958, -0.9531654119491577, -0.6731740236282349,
0.49189892411231995, -0.15864109992980957, -0.3418811559677124,
-0.9158143401145935, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [3, 1, 1, 3, 2], dataType: 'float16'}
}
},
'operators': [{
'name': 'concat',
'arguments':
[{'inputs': ['concatInput1', 'concatInput2']}, {'axis': 3}],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.39453125, 0.86181640625, -0.447265625, 0.11029052734375,
-0.5947265625, -0.40283203125, -0.953125, -0.67333984375,
0.337890625, -0.99072265625, 0.491943359375, -0.15869140625,
-0.341796875, -0.916015625, -0.720703125, -0.79931640625,
0.57666015625, 0.32275390625, 0.66552734375, 0.038848876953125,
0.51806640625, -0.8740234375, -0.47900390625, 0.12115478515625
],
'descriptor': {shape: [3, 1, 1, 4, 2], dataType: 'float16'}
}
}
}
},
{
'name':
'concat two float32 5D tensors of same others dimensions except different 5th dimension along axis 4',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771
],
'descriptor': {shape: [1, 2, 1, 1, 4], dataType: 'float32'}
},
'concatInput2': {
'data': [
-0.5945112705230713, -0.402848482131958, -0.9531654119491577,
-0.6731740236282349, 0.49189892411231995, -0.15864109992980957,
-0.3418811559677124, -0.9158143401145935, -0.7206121683120728,
-0.7993468642234802, 0.6653800010681152, 0.03886038810014725,
0.5182055234909058, -0.8742017149925232, -0.4790218770503998,
0.1211843192577362
],
'descriptor': {shape: [1, 2, 1, 1, 8], dataType: 'float32'}
}
},
'operators': [{
'name': 'concat',
'arguments':
[{'inputs': ['concatInput1', 'concatInput2']}, {'axis': 4}],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, -0.5945112705230713, -0.402848482131958,
-0.9531654119491577, -0.6731740236282349, 0.49189892411231995,
-0.15864109992980957, -0.3418811559677124, -0.9158143401145935,
0.576785683631897, 0.32276400923728943, -0.44735023379325867,
0.11028251051902771, -0.7206121683120728, -0.7993468642234802,
0.6653800010681152, 0.03886038810014725, 0.5182055234909058,
-0.8742017149925232, -0.4790218770503998, 0.1211843192577362
],
'descriptor': {shape: [1, 2, 1, 1, 12], dataType: 'float32'}
}
}
}
},
{
'name':
'concat two float16 5D tensors of same others dimensions except different 5th dimension along axis 4',
'graph': {
'inputs': {
'concatInput1': {
'data': [
-0.3944413363933563, 0.861982524394989, 0.337996244430542,
-0.990639865398407, 0.576785683631897, 0.32276400923728943,
-0.44735023379325867, 0.11028251051902771
],
'descriptor': {shape: [1, 2, 1, 1, 4], dataType: 'float16'}
},
'concatInput2': {
'data': [
-0.5945112705230713, -0.402848482131958, -0.9531654119491577,
-0.6731740236282349, 0.49189892411231995, -0.15864109992980957,
-0.3418811559677124, -0.9158143401145935, -0.7206121683120728,
-0.7993468642234802, 0.6653800010681152, 0.03886038810014725,
0.5182055234909058, -0.8742017149925232, -0.4790218770503998,
0.1211843192577362
],
'descriptor': {shape: [1, 2, 1, 1, 8], dataType: 'float16'}
}
},
'operators': [{
'name': 'concat',
'arguments':
[{'inputs': ['concatInput1', 'concatInput2']}, {'axis': 4}],
'outputs': 'concatOutput'
}],
'expectedOutputs': {
'concatOutput': {
'data': [
-0.39453125, 0.86181640625, 0.337890625, -0.99072265625,
-0.5947265625, -0.40283203125, -0.953125, -0.67333984375,
0.491943359375, -0.15869140625, -0.341796875, -0.916015625,
0.57666015625, 0.32275390625, -0.447265625, 0.11029052734375,
-0.720703125, -0.79931640625, 0.66552734375, 0.038848876953125,
0.51806640625, -0.8740234375, -0.47900390625, 0.12115478515625
],
'descriptor': {shape: [1, 2, 1, 1, 12], dataType: 'float16'}
}
}
}
}
];
if (navigator.ml) {
concatTests.forEach((test) => {
webnn_conformance_test(
buildAndExecuteGraphWithConcat, getConcatPrecisionTolerance, test);
});
} else {
test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}