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author | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
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committer | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
commit | c577f2c6a3b4ddb6ba87a882723c53a248afbeba (patch) | |
tree | bd7d4c148df27f8be6649d313efb24f536b7cf34 /src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp | |
parent | 4c7098bfeab1ffe1cdc77f6c15548d3e73274746 (diff) | |
download | armnn-c577f2c6a3b4ddb6ba87a882723c53a248afbeba.tar.gz |
Release 18.08
Diffstat (limited to 'src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp')
-rw-r--r-- | src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp | 199 |
1 files changed, 199 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp b/src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp new file mode 100644 index 0000000000..4a06418095 --- /dev/null +++ b/src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp @@ -0,0 +1,199 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include <boost/test/unit_test.hpp> +#include "ParserFlatbuffersFixture.hpp" +#include "../TfLiteParser.hpp" + +#include <string> +#include <iostream> + +BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) + +struct DepthwiseConvolution2dFixture : public ParserFlatbuffersFixture +{ + explicit DepthwiseConvolution2dFixture(const std::string& inputShape, + const std::string& outputShape, + const std::string& filterShape, + const std::string& filterData, + const std::string& strides, + const std::string& paddingType, + 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": "DEPTHWISE_CONV_2D" } ], + "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": "DepthwiseConv2DOptions", + "builtin_options": { + "padding": ")" + paddingType + R"(", + "stride_w": )" + strides+ R"(, + "stride_h": )" + strides+ R"(, + "depth_multiplier": 1, + "fused_activation_function": "NONE" + }, + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { }, + { }, + { "data": )" + filterData + R"(, }, )" + + biasBuffer + R"( + ] + } + )"; + SetupSingleInputSingleOutput("inputTensor", "outputTensor"); + } +}; + +struct DepthwiseConvolution2dSameFixture : DepthwiseConvolution2dFixture +{ + DepthwiseConvolution2dSameFixture() + : DepthwiseConvolution2dFixture("[ 1, 3, 3, 1 ]", // inputShape + "[ 1, 3, 3, 1 ]", // outputShape + "[ 1, 3, 3, 1 ]", // filterShape + "[ 9,8,7, 6,5,4, 3,2,1 ]", // filterData + "1", // stride w and h + "SAME") // padding type + {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DSame, DepthwiseConvolution2dSameFixture) +{ + RunTest<4, uint8_t>( + 0, + { 0, 1, 2, + 3, 4, 5, + 6, 7, 8 }, + // the expected values were generated using the example python implementation at + // https://eli.thegreenplace.net/2018/depthwise-separable-convolutions-for-machine-learning/ + // divide the expected values by the output scale, as it is not 1.0 + { 14/2, 35/2, 38/2, + 57/2, 120/2, 111/2, + 110/2, 197/2, 158/2 }); +} + +struct DepthwiseConvolution2dValidFixture : DepthwiseConvolution2dFixture +{ + DepthwiseConvolution2dValidFixture () + : DepthwiseConvolution2dFixture("[ 1, 3, 3, 1 ]", // inputShape + "[ 1, 1, 1, 1 ]", // outputShape + "[ 1, 3, 3, 1 ]", // filterShape + "[ 9,8,7, 6,5,4, 3,2,1 ]", // filterData + "1", // stride w and h + "VALID") // padding type + {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DValid, DepthwiseConvolution2dValidFixture) +{ + RunTest<4, uint8_t>( + 0, + { 0, 1, 2, + 3, 4, 5, + 6, 7, 8 }, + // divide the expected values by the output scale, as it is not 1.0 + { 120/2 }); +} + +struct DepthwiseConvolution2dSameBiasFixture : DepthwiseConvolution2dFixture +{ + DepthwiseConvolution2dSameBiasFixture() + : DepthwiseConvolution2dFixture("[ 1, 3, 3, 1 ]", // inputShape + "[ 1, 3, 3, 1 ]", // outputShape + "[ 1, 3, 3, 1 ]", // filterShape + "[ 9,8,7, 6,5,4, 3,2,1 ]", // filterData + "1", // stride w and h + "SAME", // padding type + "[ 1 ]", // biasShape + "[ 10, 0, 0, 0 ]") // biasData + {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DSameBias, DepthwiseConvolution2dSameBiasFixture) +{ + RunTest<4, uint8_t>( + 0, + { 0, 1, 2, + 3, 4, 5, + 6, 7, 8 }, + // divide the expected values by the output scale, as it is not 1.0 + { ( 14+10)/2, ( 35+10)/2, ( 38+10)/2, + ( 57+10)/2, (120+10)/2, (111+10)/2, + (110+10)/2, (197+10)/2, (158+10)/2 }); +} + +BOOST_AUTO_TEST_SUITE_END() |