| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include <boost/test/unit_test.hpp> |
| #include "ParserFlatbuffersSerializeFixture.hpp" |
| #include <armnnDeserializer/IDeserializer.hpp> |
| |
| #include <string> |
| |
| 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() |