| // |
| // 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 Pooling2dFixture : public ParserFlatbuffersSerializeFixture |
| { |
| explicit Pooling2dFixture(const std::string &inputShape, |
| const std::string &outputShape, |
| const std::string &dataType, |
| const std::string &dataLayout, |
| const std::string &poolingAlgorithm) |
| { |
| 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"( |
| }}] |
| } |
| }}}, |
| { |
| layer_type: "Pooling2dLayer", |
| layer: { |
| base: { |
| index: 1, |
| layerName: "Pooling2dLayer", |
| layerType: "Pooling2d", |
| inputSlots: [{ |
| index: 0, |
| connection: {sourceLayerIndex:0, outputSlotIndex:0 }, |
| }], |
| outputSlots: [ { |
| index: 0, |
| tensorInfo: { |
| dimensions: )" + outputShape + R"(, |
| dataType: )" + dataType + R"( |
| |
| }}]}, |
| descriptor: { |
| poolType: )" + poolingAlgorithm + R"(, |
| outputShapeRounding: "Floor", |
| paddingMethod: Exclude, |
| dataLayout: )" + dataLayout + R"(, |
| padLeft: 0, |
| padRight: 0, |
| padTop: 0, |
| padBottom: 0, |
| poolWidth: 2, |
| poolHeight: 2, |
| strideX: 2, |
| strideY: 2 |
| } |
| }}, |
| { |
| 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"( |
| }, |
| }], |
| }}}, |
| }] |
| } |
| )"; |
| SetupSingleInputSingleOutput("InputLayer", "OutputLayer"); |
| } |
| }; |
| |
| struct SimpleAvgPooling2dFixture : Pooling2dFixture |
| { |
| SimpleAvgPooling2dFixture() : Pooling2dFixture("[ 1, 2, 2, 1 ]", "[ 1, 1, 1, 1 ]", |
| "Float32", "NHWC", "Average") {} |
| }; |
| |
| struct SimpleAvgPooling2dFixture2 : Pooling2dFixture |
| { |
| SimpleAvgPooling2dFixture2() : Pooling2dFixture("[ 1, 2, 2, 1 ]", |
| "[ 1, 1, 1, 1 ]", |
| "QuantisedAsymm8", "NHWC", "Average") {} |
| }; |
| |
| struct SimpleMaxPooling2dFixture : Pooling2dFixture |
| { |
| SimpleMaxPooling2dFixture() : Pooling2dFixture("[ 1, 1, 2, 2 ]", |
| "[ 1, 1, 1, 1 ]", |
| "Float32", "NCHW", "Max") {} |
| }; |
| |
| struct SimpleMaxPooling2dFixture2 : Pooling2dFixture |
| { |
| SimpleMaxPooling2dFixture2() : Pooling2dFixture("[ 1, 1, 2, 2 ]", |
| "[ 1, 1, 1, 1 ]", |
| "QuantisedAsymm8", "NCHW", "Max") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(Pooling2dFloat32Avg, SimpleAvgPooling2dFixture) |
| { |
| RunTest<4, armnn::DataType::Float32>(0, { 2, 3, 5, 2 }, { 3 }); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(Pooling2dQuantisedAsymm8Avg, SimpleAvgPooling2dFixture2) |
| { |
| RunTest<4, armnn::DataType::QAsymmU8>(0, |
| { 20, 40, 60, 80 }, |
| { 50 }); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(Pooling2dFloat32Max, SimpleMaxPooling2dFixture) |
| { |
| RunTest<4, armnn::DataType::Float32>(0, { 2, 5, 5, 2 }, { 5 }); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(Pooling2dQuantisedAsymm8Max, SimpleMaxPooling2dFixture2) |
| { |
| RunTest<4, armnn::DataType::QAsymmU8>(0, |
| { 20, 40, 60, 80 }, |
| { 80 }); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| |