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Diffstat (limited to 'src/armnnDeserializeParser/test/DeserializeConvolution2d.cpp')
| -rw-r--r-- | src/armnnDeserializeParser/test/DeserializeConvolution2d.cpp | 142 |
1 files changed, 0 insertions, 142 deletions
diff --git a/src/armnnDeserializeParser/test/DeserializeConvolution2d.cpp b/src/armnnDeserializeParser/test/DeserializeConvolution2d.cpp deleted file mode 100644 index f3f6feb7a1..0000000000 --- a/src/armnnDeserializeParser/test/DeserializeConvolution2d.cpp +++ /dev/null @@ -1,142 +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 Convolution2dFixture : public ParserFlatbuffersSerializeFixture -{ - explicit Convolution2dFixture(const std::string & inputShape1, - const std::string & outputShape, - const std::string & weightsShape, - const std::string & dataType) - { - 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: )" + inputShape1 + R"(, - dataType: )" + dataType + R"(, - quantizationScale: 0.5, - quantizationOffset: 0 - }, - }] - }, - } - }, - }, - { - layer_type: "Convolution2dLayer", - layer : { - base: { - index:1, - layerName: "Convolution2dLayer", - layerType: "Convolution2d", - inputSlots: [{ - index: 0, - connection: {sourceLayerIndex:0, outputSlotIndex:0 }, - }], - outputSlots: [{ - index: 0, - tensorInfo: { - dimensions: )" + outputShape + R"(, - dataType: )" + dataType + R"( - }, - }], - }, - descriptor: { - padLeft: 1, - padRight: 1, - padTop: 1, - padBottom: 1, - strideX: 2, - strideY: 2, - biasEnabled: false, - dataLayout: NHWC - }, - weights: { - info: { - dimensions: )" + weightsShape + R"(, - dataType: )" + dataType + R"( - }, - data_type: IntData, - data: { - data: [ - 1082130432, 1084227584, 1086324736, - 0 ,0 ,0 , - 1077936128, 1073741824, 1065353216 - ], - } - } - }, - }, - { - 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 SimpleConvolution2dFixture : Convolution2dFixture -{ - SimpleConvolution2dFixture() : Convolution2dFixture("[ 1, 5, 5, 1 ]", - "[ 1, 3, 3, 1 ]", - "[ 1, 3, 3, 1 ]", - "Float32") {} -}; - -BOOST_FIXTURE_TEST_CASE(Convolution2dFloat32, SimpleConvolution2dFixture) -{ - RunTest<4, armnn::DataType::Float32>( - 0, - {{"InputLayer", {1, 5, 2, 3, 5, 8, 7, 3, 6, 3, 3, 3, 9, 1, 9, 4, 1, 8, 1, 3, 6, 8, 1, 9, 2}}}, - {{"OutputLayer", {23, 33, 24, 91, 99, 48, 26, 50, 19}}}); -} - -BOOST_AUTO_TEST_SUITE_END() |