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Diffstat (limited to 'src/armnnTfLiteParser/test/FullyConnected.cpp')
| -rw-r--r-- | src/armnnTfLiteParser/test/FullyConnected.cpp | 154 |
1 files changed, 154 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/FullyConnected.cpp b/src/armnnTfLiteParser/test/FullyConnected.cpp new file mode 100644 index 0000000000..2853fe96ab --- /dev/null +++ b/src/armnnTfLiteParser/test/FullyConnected.cpp @@ -0,0 +1,154 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include <boost/test/unit_test.hpp> +#include "ParserFlatbuffersFixture.hpp" +#include "../TfLiteParser.hpp" + +#include <string> +#include <iostream> + +BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) + +struct FullyConnectedFixture : public ParserFlatbuffersFixture +{ + explicit FullyConnectedFixture(const std::string& inputShape, + const std::string& outputShape, + const std::string& filterShape, + const std::string& filterData, + const std::string biasShape = "", + const std::string biasData = "") + { + std::string inputTensors = "[ 0, 2 ]"; + std::string biasTensor = ""; + std::string biasBuffer = ""; + if (biasShape.size() > 0 && biasData.size() > 0) + { + inputTensors = "[ 0, 2, 3 ]"; + biasTensor = R"( + { + "shape": )" + biasShape + R"( , + "type": "INT32", + "buffer": 3, + "name": "biasTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + } )"; + biasBuffer = R"( + { "data": )" + biasData + R"(, }, )"; + } + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ { "builtin_code": "FULLY_CONNECTED" } ], + "subgraphs": [ { + "tensors": [ + { + "shape": )" + inputShape + R"(, + "type": "UINT8", + "buffer": 0, + "name": "inputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + outputShape + R"(, + "type": "UINT8", + "buffer": 1, + "name": "outputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 511.0 ], + "scale": [ 2.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + filterShape + R"(, + "type": "UINT8", + "buffer": 2, + "name": "filterTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, )" + biasTensor + R"( + ], + "inputs": [ 0 ], + "outputs": [ 1 ], + "operators": [ + { + "opcode_index": 0, + "inputs": )" + inputTensors + R"(, + "outputs": [ 1 ], + "builtin_options_type": "FullyConnectedOptions", + "builtin_options": { + "fused_activation_function": "NONE" + }, + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { }, + { }, + { "data": )" + filterData + R"(, }, )" + + biasBuffer + R"( + ] + } + )"; + SetupSingleInputSingleOutput("inputTensor", "outputTensor"); + } +}; + +struct FullyConnectedWithNoBiasFixture : FullyConnectedFixture +{ + FullyConnectedWithNoBiasFixture() + : FullyConnectedFixture("[ 1, 4, 1, 1 ]", // inputShape + "[ 1, 1 ]", // outputShape + "[ 4, 1 ]", // filterShape + "[ 2, 3, 4, 5 ]") // filterData + {} +}; + +BOOST_FIXTURE_TEST_CASE(FullyConnectedWithNoBias, FullyConnectedWithNoBiasFixture) +{ + RunTest<2, uint8_t>( + 0, + { 10, 20, 30, 40 }, + { 400/2 }); +} + +struct FullyConnectedWithBiasFixture : FullyConnectedFixture +{ + FullyConnectedWithBiasFixture() + : FullyConnectedFixture("[ 1, 4, 1, 1 ]", // inputShape + "[ 1, 1 ]", // outputShape + "[ 4, 1 ]", // filterShape + "[ 2, 3, 4, 5 ]", // filterData + "[ 1 ]", // biasShape + "[ 10, 0, 0, 0 ]" ) // biasData + {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseFullyConnectedWithBias, FullyConnectedWithBiasFixture) +{ + RunTest<2, uint8_t>( + 0, + { 10, 20, 30, 40 }, + { (400+10)/2 }); +} + +BOOST_AUTO_TEST_SUITE_END() |