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| author | Mike Kelly <mike.kelly@arm.com> | 2021-09-01 21:22:37 +0100 |
|---|---|---|
| committer | Jim Flynn <jim.flynn@arm.com> | 2021-09-02 08:37:02 +0000 |
| commit | 31dce2b3fa19781836a9a295b514b2ab37f5d928 (patch) | |
| tree | 852770e21c4251c91ed80eddc49d2dcbc6047d61 /src/armnnTfLiteParser/test/LocalResponseNormalization.cpp | |
| parent | 00e9ebf026b1e2f6dbbed201ce1abe0091d6453b (diff) | |
| download | armnn-31dce2b3fa19781836a9a295b514b2ab37f5d928.tar.gz | |
IVGCVSW-6294 Added support for LRN to TfLiteParser
* Added support for LRN to TfLiteParser
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ia34441a4adeecd1f17c65af047d6c207729703ec
Diffstat (limited to 'src/armnnTfLiteParser/test/LocalResponseNormalization.cpp')
| -rw-r--r-- | src/armnnTfLiteParser/test/LocalResponseNormalization.cpp | 107 |
1 files changed, 107 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/LocalResponseNormalization.cpp b/src/armnnTfLiteParser/test/LocalResponseNormalization.cpp new file mode 100644 index 0000000000..5fe6daa582 --- /dev/null +++ b/src/armnnTfLiteParser/test/LocalResponseNormalization.cpp @@ -0,0 +1,107 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ParserFlatbuffersFixture.hpp" + +TEST_SUITE("TensorflowLiteParser_LRN") +{ +struct LRNFixture : public ParserFlatbuffersFixture +{ + explicit LRNFixture(std::string inputdim, std::string outputdim, std::string dataType) + { + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ { "builtin_code": "LOCAL_RESPONSE_NORMALIZATION" } ], + "subgraphs": [ + { + "tensors": [ + { + "shape": )" + + outputdim + + R"(, + "type": )" + + dataType + + R"(, + "buffer": 0, + "name": "OutputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ] + } + }, + { + "shape": )" + + inputdim + + R"(, + "type": )" + + dataType + + R"(, + "buffer": 1, + "name": "InputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ] + } + } + ], + "inputs": [ 1 ], + "outputs": [ 0 ], + "operators": [ { + "opcode_index": 0, + "inputs": [ 1 ], + "outputs": [ 0 ], + "builtin_options_type": "LocalResponseNormalizationOptions", + "builtin_options": + { + "radius": 2, + "bias": 1.0, + "alpha": 1.0, + "beta": 0.5 + }, + "custom_options_format": "FLEXBUFFERS" + } ] + } + ], + "description": "MaxPool2D test.", + "buffers" : [ {}, {} ] + })"; + + SetupSingleInputSingleOutput("InputTensor", "OutputTensor"); + } +}; + +struct LRNLiteFixtureFloat4DOutput : LRNFixture +{ + LRNLiteFixtureFloat4DOutput() : LRNFixture("[ 1, 1, 4, 4 ]", "[ 1, 1, 4, 4 ]", "FLOAT32") {} +}; + +TEST_CASE_FIXTURE(LRNLiteFixtureFloat4DOutput, "LRNLiteFloat4DOutput") +{ + RunTest<4, armnn::DataType::Float32>(0, + { + 2.0f, 3.0f, 5.0f, 2.0f, + 2.0f, 3.0f, 5.0f, 2.0f, + 2.0f, 3.0f, 5.0f, 2.0f, + 2.0f, 3.0f, 5.0f, 2.0f + }, + { + 0.320256f, 0.457496f, 0.762493f, 0.320256f, + 0.320256f, 0.457496f, 0.762493f, 0.320256f, + 0.320256f, 0.457496f, 0.762493f, 0.320256f, + 0.320256f, 0.457496f, 0.762493f, 0.320256f + }); +} + +TEST_CASE_FIXTURE(LRNLiteFixtureFloat4DOutput, "LRNIncorrectDataTypeError") +{ + CHECK_THROWS_AS((RunTest<4, armnn::DataType::QAsymmU8>(0, { 2, 3, 5, 2 }, { 5 })), armnn::Exception); +} + +} |