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Diffstat (limited to 'src/armnnDeserializer/test/DeserializePooling3d.cpp')
| -rw-r--r-- | src/armnnDeserializer/test/DeserializePooling3d.cpp | 173 |
1 files changed, 173 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializePooling3d.cpp b/src/armnnDeserializer/test/DeserializePooling3d.cpp new file mode 100644 index 0000000000..62fdc5cd60 --- /dev/null +++ b/src/armnnDeserializer/test/DeserializePooling3d.cpp @@ -0,0 +1,173 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ParserFlatbuffersSerializeFixture.hpp" +#include <armnnDeserializer/IDeserializer.hpp> + +#include <string> + +TEST_SUITE("Deserializer_Pooling3d") +{ +struct Pooling3dFixture : public ParserFlatbuffersSerializeFixture +{ + explicit Pooling3dFixture(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: "Pooling3dLayer", + layer: { + base: { + index: 1, + layerName: "Pooling3dLayer", + layerType: "Pooling3d", + 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, + padFront: 0, + padBack: 0, + poolWidth: 2, + poolHeight: 2, + poolDepth: 2, + strideX: 2, + strideY: 2, + strideZ: 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 SimpleAvgPooling3dFixture : Pooling3dFixture +{ + SimpleAvgPooling3dFixture() : Pooling3dFixture("[ 1, 2, 2, 2, 1 ]", + "[ 1, 1, 1, 1, 1 ]", + "Float32", "NDHWC", "Average") {} +}; + +struct SimpleAvgPooling3dFixture2 : Pooling3dFixture +{ + SimpleAvgPooling3dFixture2() : Pooling3dFixture("[ 1, 2, 2, 2, 1 ]", + "[ 1, 1, 1, 1, 1 ]", + "QuantisedAsymm8", "NDHWC", "Average") {} +}; + +struct SimpleMaxPooling3dFixture : Pooling3dFixture +{ + SimpleMaxPooling3dFixture() : Pooling3dFixture("[ 1, 1, 2, 2, 2 ]", + "[ 1, 1, 1, 1, 1 ]", + "Float32", "NCDHW", "Max") {} +}; + +struct SimpleMaxPooling3dFixture2 : Pooling3dFixture +{ + SimpleMaxPooling3dFixture2() : Pooling3dFixture("[ 1, 1, 2, 2, 2 ]", + "[ 1, 1, 1, 1, 1 ]", + "QuantisedAsymm8", "NCDHW", "Max") {} +}; + +struct SimpleL2Pooling3dFixture : Pooling3dFixture +{ + SimpleL2Pooling3dFixture() : Pooling3dFixture("[ 1, 2, 2, 2, 1 ]", + "[ 1, 1, 1, 1, 1 ]", + "Float32", "NDHWC", "L2") {} +}; + +TEST_CASE_FIXTURE(SimpleAvgPooling3dFixture, "Pooling3dFloat32Avg") +{ + RunTest<5, armnn::DataType::Float32>(0, { 2, 3, 5, 2, 3, 2, 3, 4 }, { 3 }); +} + +TEST_CASE_FIXTURE(SimpleAvgPooling3dFixture2, "Pooling3dQuantisedAsymm8Avg") +{ + RunTest<5, armnn::DataType::QAsymmU8>(0,{ 20, 40, 60, 80, 50, 60, 70, 30 },{ 50 }); +} + +TEST_CASE_FIXTURE(SimpleMaxPooling3dFixture, "Pooling3dFloat32Max") +{ + RunTest<5, armnn::DataType::Float32>(0, { 2, 5, 5, 2, 1, 3, 4, 0 }, { 5 }); +} + +TEST_CASE_FIXTURE(SimpleMaxPooling3dFixture2, "Pooling3dQuantisedAsymm8Max") +{ + RunTest<5, armnn::DataType::QAsymmU8>(0,{ 20, 40, 60, 80, 10, 40, 0, 70 },{ 80 }); +} + +TEST_CASE_FIXTURE(SimpleL2Pooling3dFixture, "Pooling3dFloat32L2") +{ + RunTest<5, armnn::DataType::Float32>(0, { 2, 3, 5, 2, 4, 1, 1, 3 }, { 2.93683503112f }); +} + +} + |