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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ParserFlatbuffersFixture.hpp"
#include "../TfLiteParser.hpp"
#include <string>
#include <iostream>
#include <numeric>
TEST_SUITE("TensorflowLiteParser_L2Normalization")
{
struct L2NormalizationFixture : public ParserFlatbuffersFixture
{
explicit L2NormalizationFixture(const std::string & inputOutputShape)
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [ { "builtin_code": "L2_NORMALIZATION" } ],
"subgraphs": [ {
"tensors": [
{
"shape": )" + inputOutputShape + R"(,
"type": "FLOAT32",
"buffer": 0,
"name": "inputTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
},
{
"shape": )" + inputOutputShape + R"(,
"type": "FLOAT32",
"buffer": 1,
"name": "outputTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
}
],
"inputs": [ 0 ],
"outputs": [ 1 ],
"operators": [
{
"opcode_index": 0,
"inputs": [ 0 ],
"outputs": [ 1 ],
"custom_options_format": "FLEXBUFFERS"
}
],
} ],
"buffers" : [
{ }
]
}
)";
Setup();
}
};
float CalcL2Norm(std::initializer_list<float> elements)
{
const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f,
[](float acc, float element) { return acc + element * element; });
const float eps = 1e-12f;
const float max = reduction < eps ? eps : reduction;
return sqrtf(max);
}
struct L2NormalizationFixture4D : L2NormalizationFixture
{
// TfLite uses NHWC shape
L2NormalizationFixture4D() : L2NormalizationFixture("[ 1, 1, 4, 3 ]") {}
};
TEST_CASE_FIXTURE(L2NormalizationFixture4D, "ParseL2Normalization4D")
{
RunTest<4, armnn::DataType::Float32>(
0,
{{"inputTensor", { 1.0f, 2.0f, 3.0f,
4.0f, 5.0f, 6.0f,
7.0f, 8.0f, 9.0f,
10.0f, 11.0f, 12.0f }}},
{{"outputTensor", { 1.0f / CalcL2Norm({ 1.0f, 2.0f, 3.0f }),
2.0f / CalcL2Norm({ 1.0f, 2.0f, 3.0f }),
3.0f / CalcL2Norm({ 1.0f, 2.0f, 3.0f }),
4.0f / CalcL2Norm({ 4.0f, 5.0f, 6.0f }),
5.0f / CalcL2Norm({ 4.0f, 5.0f, 6.0f }),
6.0f / CalcL2Norm({ 4.0f, 5.0f, 6.0f }),
7.0f / CalcL2Norm({ 7.0f, 8.0f, 9.0f }),
8.0f / CalcL2Norm({ 7.0f, 8.0f, 9.0f }),
9.0f / CalcL2Norm({ 7.0f, 8.0f, 9.0f }),
10.0f / CalcL2Norm({ 10.0f, 11.0f, 12.0f }),
11.0f / CalcL2Norm({ 10.0f, 11.0f, 12.0f }),
12.0f / CalcL2Norm({ 10.0f, 11.0f, 12.0f }) }}});
}
struct L2NormalizationSimpleFixture4D : L2NormalizationFixture
{
L2NormalizationSimpleFixture4D() : L2NormalizationFixture("[ 1, 1, 1, 4 ]") {}
};
TEST_CASE_FIXTURE(L2NormalizationSimpleFixture4D, "ParseL2NormalizationEps4D")
{
RunTest<4, armnn::DataType::Float32>(
0,
{{"inputTensor", { 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }}},
{{"outputTensor", { 0.00000001f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }),
0.00000002f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }),
0.00000003f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }),
0.00000004f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }) }}});
}
}
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