From 74bf7da7e0448791efee8ada1f73f1887098e367 Mon Sep 17 00:00:00 2001 From: Matthew Jackson Date: Fri, 16 Aug 2019 16:51:42 +0100 Subject: IVGCVSW-3650 Add TfLite Parser support for Transpose Convolution layer * Added ParseTransposeConv to TfLite Parser * New TransposeConv test file * Updated documentation for supported Transpose Convolution Change-Id: Id7356d8525556805c164af693ae2b16f6a8492fa Signed-off-by: Matthew Jackson --- src/armnnTfLiteParser/test/TransposeConv.cpp | 177 +++++++++++++++++++++++++++ 1 file changed, 177 insertions(+) create mode 100644 src/armnnTfLiteParser/test/TransposeConv.cpp (limited to 'src/armnnTfLiteParser/test/TransposeConv.cpp') diff --git a/src/armnnTfLiteParser/test/TransposeConv.cpp b/src/armnnTfLiteParser/test/TransposeConv.cpp new file mode 100644 index 0000000000..05b48ecf0b --- /dev/null +++ b/src/armnnTfLiteParser/test/TransposeConv.cpp @@ -0,0 +1,177 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include +#include "ParserFlatbuffersFixture.hpp" +#include "../TfLiteParser.hpp" + +BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) + +struct TransposeConvFixture : public ParserFlatbuffersFixture +{ + explicit TransposeConvFixture(const std::string& inputShape, + const std::string& outputShape, + const std::string& filterShape, + const std::string& filterData, + const bool biasEnabled, + const std::string& biasShape, + const std::string& biasData, + const std::string& strideX, + const std::string& strideY, + const std::string& dataType) + { + std::string biasString; + if (biasEnabled) + { + biasString = R"( + { + "shape": )" + biasShape + R"(, + "type": "INT32", + "buffer": 2, + "name": "biasTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + },)"; + + } + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ { "builtin_code": "TRANSPOSE_CONV" } ], + "subgraphs": [ { + "tensors": [ + { + "shape": )" + inputShape + R"(, + "type": ")" + dataType + R"(", + "buffer": 0, + "name": "inputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + filterShape + R"(, + "type": ")" + dataType + R"(", + "buffer": 1, + "name": "filterTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + },)" + biasString + R"( + { + "shape": )" + outputShape + R"(, + "type": ")" + dataType + R"(", + "buffer": )" + (biasEnabled ? "3" : "2") + R"(, + "name": "outputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + } + ], + "inputs": [ 0 ], + "outputs": [ )" + (biasEnabled ? "3" : "2") + R"( ], + "operators": [ + { + "opcode_index": 0, + "inputs": [ 0, 1)" + (biasEnabled ? ", 2" : "") + R"( ], + "outputs": [ )" + (biasEnabled ? "3" : "2") + R"( ], + "builtin_options_type": "TransposeConvOptions", + "builtin_options": { + "padding": "SAME", + "stride_w": )" + strideX + R"(, + "stride_h": )" + strideY + R"( + }, + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { }, + { "data": )" + filterData + R"( }, + { )" + (biasEnabled ? (R"("data": )" + biasData) : "") + R"( }, + { } + ] + } + )"; + SetupSingleInputSingleOutput("inputTensor", "outputTensor"); + } +}; + +struct SimpleTransposeConvFixture : TransposeConvFixture +{ + SimpleTransposeConvFixture() + : TransposeConvFixture("[ 1, 2, 2, 1 ]", // inputShape + "[ 1, 3, 3, 1 ]", // outputShape + "[ 1, 2, 2, 1 ]", // filterShape + "[ 0, 1, 2, 4 ]", // filterData + false, // biasEnabled + "", // biasShape + "", // biasData + "1", // strideX + "1", // strideY + "UINT8") // dataType + {} +}; + +BOOST_FIXTURE_TEST_CASE( ParseSimpleTransposeConv, SimpleTransposeConvFixture ) +{ + RunTest<4, armnn::DataType::QuantisedAsymm8>( + 0, + { + 1, 2, + 3, 4 + }, + { + 0, 1, 2, + 2, 11, 12, + 6, 20, 16 + }); +} + +struct TransposeConvWithBiasFixture : TransposeConvFixture +{ + TransposeConvWithBiasFixture() + : TransposeConvFixture("[ 1, 2, 2, 1 ]", // inputShape + "[ 1, 3, 3, 1 ]", // outputShape + "[ 1, 2, 2, 1 ]", // filterShape + "[ 0, 1, 2, 4 ]", // filterData + true, // biasEnabled + "[ 1 ]", // biasShape + "[ 2, 0, 0, 0 ]", // biasData + "1", // strideX + "1", // strideY + "UINT8") // dataType + {} +}; + +BOOST_FIXTURE_TEST_CASE( ParseTransposeConvWithBias, TransposeConvWithBiasFixture ) +{ + RunTest<4, armnn::DataType::QuantisedAsymm8>( + 0, + { + 1, 2, + 3, 4 + }, + { + 2, 3, 5, + 4, 13, 14, + 8, 22, 18 + }); +} + +BOOST_AUTO_TEST_SUITE_END() -- cgit v1.2.1