| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include <boost/test/unit_test.hpp> |
| #include "ParserFlatbuffersSerializeFixture.hpp" |
| #include "../Deserializer.hpp" |
| |
| #include <string> |
| #include <iostream> |
| |
| BOOST_AUTO_TEST_SUITE(Deserializer) |
| |
| struct L2NormalizationFixture : public ParserFlatbuffersSerializeFixture |
| { |
| explicit L2NormalizationFixture(const std::string &inputShape, |
| const std::string &outputShape, |
| const std::string &dataType, |
| const std::string &dataLayout, |
| const std::string epsilon) |
| { |
| m_JsonString = R"( |
| { |
| inputIds: [0], |
| outputIds: [2], |
| layers: [ |
| { |
| layer_type: "InputLayer", |
| layer: { |
| base: { |
| layerBindingId: 0, |
| base: { |
| index: 0, |
| layerName: "InputLayer", |
| layerType: "Input", |
| inputSlots: [{ |
| index: 0, |
| connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| }], |
| outputSlots: [{ |
| index: 0, |
| tensorInfo: { |
| dimensions: )" + inputShape + R"(, |
| dataType: ")" + dataType + R"(", |
| quantizationScale: 0.5, |
| quantizationOffset: 0 |
| }, |
| }] |
| }, |
| } |
| }, |
| }, |
| { |
| layer_type: "L2NormalizationLayer", |
| layer : { |
| base: { |
| index:1, |
| layerName: "L2NormalizationLayer", |
| layerType: "L2Normalization", |
| inputSlots: [{ |
| index: 0, |
| connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| }], |
| outputSlots: [{ |
| index: 0, |
| tensorInfo: { |
| dimensions: )" + outputShape + R"(, |
| dataType: ")" + dataType + R"(" |
| }, |
| }], |
| }, |
| descriptor: { |
| dataLayout: ")" + dataLayout + R"(", |
| eps: )" + epsilon + R"( |
| }, |
| }, |
| }, |
| { |
| layer_type: "OutputLayer", |
| layer: { |
| base:{ |
| layerBindingId: 0, |
| base: { |
| index: 2, |
| layerName: "OutputLayer", |
| layerType: "Output", |
| inputSlots: [{ |
| index: 0, |
| connection: {sourceLayerIndex:1, outputSlotIndex:0 }, |
| }], |
| outputSlots: [ { |
| index: 0, |
| tensorInfo: { |
| dimensions: )" + outputShape + R"(, |
| dataType: ")" + dataType + R"(" |
| }, |
| }], |
| } |
| }}, |
| }] |
| } |
| )"; |
| Setup(); |
| } |
| }; |
| |
| struct L2NormFixture : L2NormalizationFixture |
| { |
| // Using a non standard epsilon value of 1e-8 |
| L2NormFixture():L2NormalizationFixture("[ 1, 3, 1, 1 ]", |
| "[ 1, 3, 1, 1 ]", |
| "Float32", |
| "NCHW", |
| "0.00000001"){} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(L2NormalizationFloat32, L2NormFixture) |
| { |
| // 1 / sqrt(1^2 + 2^2 + 3^2) |
| const float approxInvL2Norm = 0.267261f; |
| |
| RunTest<4, armnn::DataType::Float32>(0, |
| {{"InputLayer", { 1.0f, 2.0f, 3.0f }}}, |
| {{"OutputLayer",{ 1.0f * approxInvL2Norm, |
| 2.0f * approxInvL2Norm, |
| 3.0f * approxInvL2Norm }}}); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(L2NormalizationEpsilonLimitFloat32, L2NormFixture) |
| { |
| // 1 / sqrt(1e-8) |
| const float approxInvL2Norm = 10000; |
| |
| RunTest<4, armnn::DataType::Float32>(0, |
| {{"InputLayer", { 0.00000001f, 0.00000002f, 0.00000003f }}}, |
| {{"OutputLayer",{ 0.00000001f * approxInvL2Norm, |
| 0.00000002f * approxInvL2Norm, |
| 0.00000003f * approxInvL2Norm }}}); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |