blob: d5f3c6396f9eeb6528b191731c27397d88175b5e [file] [log] [blame]
//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ParserFlatbuffersSerializeFixture.hpp"
#include <armnnDeserializer/IDeserializer.hpp>
#include <doctest/doctest.h>
#include <string>
TEST_SUITE("Deserializer_DepthwiseConv2d")
{
struct DepthwiseConv2dFlatbufferVersion1FixtureOld : public ParserFlatbuffersSerializeFixture
{
explicit DepthwiseConv2dFlatbufferVersion1FixtureOld()
{
m_JsonString = R"(
{
"layers": [
{
"layer_type": "InputLayer",
"layer": {
"base": {
"base": {
"index": 0,
"layerName": "Input",
"layerType": "Input",
"inputSlots": [
],
"outputSlots": [
{
"index": 0,
"tensorInfo": {
"dimensions": [
1,
3,
3,
3
],
"dataType": "QAsymmS8",
"quantizationScale": 1.0,
"quantizationOffset": 0,
"quantizationDim": 0,
"dimensionality": 1,
"dimensionSpecificity": [
true,
true,
true,
true
]
}
}
]
},
"layerBindingId": 0
}
}
},
{
"layer_type": "DepthwiseConvolution2dLayer",
"layer": {
"base": {
"index": 1,
"layerName": "depwiseConvolution2dWithPerAxis",
"layerType": "DepthwiseConvolution2d",
"inputSlots": [
{
"index": 0,
"connection": {
"sourceLayerIndex": 0,
"outputSlotIndex": 0
}
}
],
"outputSlots": [
{
"index": 0,
"tensorInfo": {
"dimensions": [
1,
3,
3,
3
],
"dataType": "QAsymmS8",
"quantizationScale": 1.0,
"quantizationOffset": 0,
"quantizationDim": 0,
"dimensionality": 1,
"dimensionSpecificity": [
true,
true,
true,
true
]
}
}
]
},
"descriptor": {
"padLeft": 1,
"padRight": 1,
"padTop": 1,
"padBottom": 1,
"strideX": 1,
"strideY": 1,
"dilationX": 1,
"dilationY": 1,
"biasEnabled": false,
"dataLayout": "NHWC"
},
"weights": {
"info": {
"dimensions": [
1,
3,
3,
3
],
"dataType": "QSymmS8",
"quantizationScale": 0.25,
"quantizationOffset": 0,
"quantizationScales": [
0.25,
0.2,
0.1
],
"quantizationDim": 0,
"dimensionality": 1,
"dimensionSpecificity": [
true,
true,
true,
true
]
},
"data_type": "ByteData",
"data": {
"data": [
4,
20,
0,
8,
20,
30,
4,
0,
10,
12,
0,
40,
0,
5,
30,
16,
10,
40,
12,
0,
30,
16,
20,
0,
12,
20,
20
]
}
}
}
},
{
"layer_type": "OutputLayer",
"layer": {
"base": {
"base": {
"index": 2,
"layerName": "Output",
"layerType": "Output",
"inputSlots": [
{
"index": 0,
"connection": {
"sourceLayerIndex": 1,
"outputSlotIndex": 0
}
}
],
"outputSlots": [
]
},
"layerBindingId": 0
}
}
}
],
"inputIds": [
0
],
"outputIds": [
0
],
"featureVersions": {
"bindingIdsScheme": 1
}
}
)";
SetupSingleInputSingleOutput("Input", "Output");
}
};
struct DepthwiseConv2dFlatbufferVersion1Fixture : public ParserFlatbuffersSerializeFixture
{
explicit DepthwiseConv2dFlatbufferVersion1Fixture()
{
m_JsonString = R"(
{
"layers": [
{
"layer_type": "InputLayer",
"layer": {
"base": {
"base": {
"index": 0,
"layerName": "InputLayer",
"layerType": "Input",
"inputSlots": [
],
"outputSlots": [
{
"index": 0,
"tensorInfo": {
"dimensions": [
1,
3,
3,
3
],
"dataType": "QAsymmS8",
"quantizationScale": 1.0,
"quantizationOffset": 0,
"quantizationDim": 0,
"dimensionality": 1,
"dimensionSpecificity": [
true,
true,
true,
true
]
}
}
]
},
"layerBindingId": 0
}
}
},
{
"layer_type": "DepthwiseConvolution2dLayer",
"layer": {
"base": {
"index": 1,
"layerName": "depthwiseConvolution2dWithPerAxis",
"layerType": "DepthwiseConvolution2d",
"inputSlots": [
{
"index": 0,
"connection": {
"sourceLayerIndex": 0,
"outputSlotIndex": 0
}
},
{
"index": 1,
"connection": {
"sourceLayerIndex": 2,
"outputSlotIndex": 0
}
}
],
"outputSlots": [
{
"index": 0,
"tensorInfo": {
"dimensions": [
1,
3,
3,
3
],
"dataType": "QAsymmS8",
"quantizationScale": 1.0,
"quantizationOffset": 0,
"quantizationDim": 0,
"dimensionality": 1,
"dimensionSpecificity": [
true,
true,
true,
true
]
}
}
]
},
"descriptor": {
"padLeft": 1,
"padRight": 1,
"padTop": 1,
"padBottom": 1,
"strideX": 1,
"strideY": 1,
"dilationX": 1,
"dilationY": 1,
"biasEnabled": false,
"dataLayout": "NHWC"
}
}
},
{
"layer_type": "ConstantLayer",
"layer": {
"base": {
"index": 2,
"layerName": "Weights",
"layerType": "Constant",
"inputSlots": [
],
"outputSlots": [
{
"index": 0,
"tensorInfo": {
"dimensions": [
1,
3,
3,
3
],
"dataType": "QSymmS8",
"quantizationScale": 0.25,
"quantizationOffset": 0,
"quantizationDim": 0,
"dimensionality": 1,
"dimensionSpecificity": [
true,
true,
true,
true
],
quantizationScales: [
0.25,
0.2,
0.1
],
"isConstant": true,
}
}
]
},
"input": {
"info": {
"dimensions": [
1,
3,
3,
3
],
"dataType": "QSymmS8",
"quantizationScale": 0.25,
"quantizationOffset": 0,
"quantizationDim": 0,
"dimensionality": 1,
"dimensionSpecificity": [
true,
true,
true,
true
],
quantizationScales: [
0.25,
0.2,
0.1
]
},
"data_type": "ByteData",
"data": {
"data": [
4,
20,
0,
8,
20,
30,
4,
0,
10,
12,
0,
40,
0,
5,
30,
16,
10,
40,
12,
0,
30,
16,
20,
0,
12,
20,
20
]
}
}
}
},
{
"layer_type": "OutputLayer",
"layer": {
"base": {
"base": {
"index": 3,
"layerName": "OutputLayer",
"layerType": "Output",
"inputSlots": [
{
"index": 0,
"connection": {
"sourceLayerIndex": 1,
"outputSlotIndex": 0
}
}
],
"outputSlots": [
]
},
"layerBindingId": 0
}
}
}
],
"inputIds": [
0
],
"outputIds": [
0
],
"featureVersions": {
"bindingIdsScheme": 1,
"constantTensorsAsInputs": 1
}
}
)";
Setup();
}
};
// This test uses a model that was created before weights layout scheme version was added to our flatbuffers
// file. It ensures older models can still be read and executed
// featureVersion weights layout scheme 1 indicates a change in the depthwise weights layout within
// armm from [M,I,H,W] --> [1,H,W,I*M]
TEST_CASE_FIXTURE(DepthwiseConv2dFlatbufferVersion1FixtureOld, "DepthwiseConv2d_FlatbufferVersion1Old")
{
RunTest<4, armnn::DataType::QAsymmS8>(
0,
{ 3,2,0,0,4,3,0,1,2,
0,1,3,0,4,2,2,2,3,
2,4,3,2,0,4,3,4,0},
{ 15,60,10,11,37,20, 0,18,17,
20,65,28,28,74,26,12,20,18,
25,36,12,37,42,25,29,14, 9});
}
TEST_CASE_FIXTURE(DepthwiseConv2dFlatbufferVersion1Fixture,
"DepthwiseConv2d_FlatbufferVersion1_WeightsAndBiasesAsConstantLayers")
{
RunTest<4, armnn::DataType::QAsymmS8>(
0,
{{"InputLayer", { 3,2,0,0,4,3,0,1,2,
0,1,3,0,4,2,2,2,3,
2,4,3,2,0,4,3,4,0}}},
{{"OutputLayer", { 15,60,10,11,37,20, 0,18,17,
20,65,28,28,74,26,12,20,18,
25,36,12,37,42,25,29,14, 9}}});
}
}