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Diffstat (limited to 'src/armnnDeserializeParser/test/DeserializePooling2d.cpp')
| -rw-r--r-- | src/armnnDeserializeParser/test/DeserializePooling2d.cpp | 162 |
1 files changed, 0 insertions, 162 deletions
diff --git a/src/armnnDeserializeParser/test/DeserializePooling2d.cpp b/src/armnnDeserializeParser/test/DeserializePooling2d.cpp deleted file mode 100644 index 70b96ba27b..0000000000 --- a/src/armnnDeserializeParser/test/DeserializePooling2d.cpp +++ /dev/null @@ -1,162 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include <boost/test/unit_test.hpp> -#include "ParserFlatbuffersSerializeFixture.hpp" -#include "../DeserializeParser.hpp" - -#include <string> -#include <iostream> - -BOOST_AUTO_TEST_SUITE(DeserializeParser) - -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 SimpleAvgPoolingFixture : Pooling2dFixture -{ - SimpleAvgPoolingFixture() : Pooling2dFixture("[ 1, 2, 2, 1 ]", "[ 1, 1, 1, 1 ]", - "Float32", "NHWC", "Average") {} -}; - -struct SimpleAvgPoolingFixture2 : Pooling2dFixture -{ - SimpleAvgPoolingFixture2() : Pooling2dFixture("[ 1, 2, 2, 1 ]", - "[ 1, 1, 1, 1 ]", - "QuantisedAsymm8", "NHWC", "Average") {} -}; - -struct SimpleMaxPoolingFixture : Pooling2dFixture -{ - SimpleMaxPoolingFixture() : Pooling2dFixture("[ 1, 1, 2, 2 ]", - "[ 1, 1, 1, 1 ]", - "Float32", "NCHW", "Max") {} -}; - -struct SimpleMaxPoolingFixture2 : Pooling2dFixture -{ - SimpleMaxPoolingFixture2() : Pooling2dFixture("[ 1, 1, 2, 2 ]", - "[ 1, 1, 1, 1 ]", - "QuantisedAsymm8", "NCHW", "Max") {} -}; - -BOOST_FIXTURE_TEST_CASE(PoolingQuantisedAsymm8Avg, SimpleAvgPoolingFixture) -{ - RunTest<4, armnn::DataType::Float32>(0, { 2, 3, 5, 2 }, { 3 }); -} - -BOOST_FIXTURE_TEST_CASE(PoolingFloat32Avg, SimpleAvgPoolingFixture2) -{ - RunTest<4, armnn::DataType::QuantisedAsymm8>(0, - { 20, 40, 60, 80 }, - { 50 }); -} - -BOOST_FIXTURE_TEST_CASE(PoolingQuantisedAsymm8Max, SimpleMaxPoolingFixture) -{ - RunTest<4, armnn::DataType::Float32>(0, { 2, 5, 5, 2 }, { 5 }); -} - -BOOST_FIXTURE_TEST_CASE(PoolingFloat32Max, SimpleMaxPoolingFixture2) -{ - RunTest<4, armnn::DataType::QuantisedAsymm8>(0, - { 20, 40, 60, 80 }, - { 80 }); -} - -BOOST_AUTO_TEST_SUITE_END() - |