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Diffstat (limited to 'src/armnnDeserializer/test/DeserializeBatchNormalization.cpp')
| -rw-r--r-- | src/armnnDeserializer/test/DeserializeBatchNormalization.cpp | 172 |
1 files changed, 172 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeBatchNormalization.cpp b/src/armnnDeserializer/test/DeserializeBatchNormalization.cpp new file mode 100644 index 0000000000..3e1be6cf72 --- /dev/null +++ b/src/armnnDeserializer/test/DeserializeBatchNormalization.cpp @@ -0,0 +1,172 @@ +// +// 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 BatchNormalizationFixture : public ParserFlatbuffersSerializeFixture +{ + explicit BatchNormalizationFixture(const std::string &inputShape, + const std::string &outputShape, + const std::string &meanShape, + const std::string &varianceShape, + const std::string &offsetShape, + const std::string &scaleShape, + const std::string &dataType, + const std::string &dataLayout) + { + 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: "BatchNormalizationLayer", + layer : { + base: { + index:1, + layerName: "BatchNormalizationLayer", + layerType: "BatchNormalization", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [{ + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: ")" + dataType + R"(" + }, + }], + }, + descriptor: { + eps: 0.0010000000475, + dataLayout: ")" + dataLayout + R"(" + }, + mean: { + info: { + dimensions: )" + meanShape + R"(, + dataType: ")" + dataType + R"(" + }, + data_type: IntData, + data: { + data: [1084227584], + } + }, + variance: { + info: { + dimensions: )" + varianceShape + R"(, + dataType: ")" + dataType + R"(" + }, + data_type: IntData, + data: { + data: [1073741824], + } + }, + beta: { + info: { + dimensions: )" + offsetShape + R"(, + dataType: ")" + dataType + R"(" + }, + data_type: IntData, + data: { + data: [0], + } + }, + gamma: { + info: { + dimensions: )" + scaleShape + R"(, + dataType: ")" + dataType + R"(" + }, + data_type: IntData, + data: { + data: [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 BatchNormFixture : BatchNormalizationFixture +{ + BatchNormFixture():BatchNormalizationFixture("[ 1, 3, 3, 1 ]", + "[ 1, 3, 3, 1 ]", + "[ 1 ]", + "[ 1 ]", + "[ 1 ]", + "[ 1 ]", + "Float32", + "NHWC"){} +}; + +BOOST_FIXTURE_TEST_CASE(BatchNormalizationFloat32, BatchNormFixture) +{ + RunTest<4, armnn::DataType::Float32>(0, + {{"InputLayer", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f }}}, + {{"OutputLayer",{ -2.8277204f, -2.12079024f, -1.4138602f, + -0.7069301f, 0.0f, 0.7069301f, + 1.4138602f, 2.12079024f, 2.8277204f }}}); +} + +BOOST_AUTO_TEST_SUITE_END() |