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Diffstat (limited to 'src/armnnTfParser/test/Convolution2d.cpp')
-rw-r--r-- | src/armnnTfParser/test/Convolution2d.cpp | 444 |
1 files changed, 0 insertions, 444 deletions
diff --git a/src/armnnTfParser/test/Convolution2d.cpp b/src/armnnTfParser/test/Convolution2d.cpp deleted file mode 100644 index c58615f990..0000000000 --- a/src/armnnTfParser/test/Convolution2d.cpp +++ /dev/null @@ -1,444 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include <boost/test/unit_test.hpp> -#include "armnnTfParser/ITfParser.hpp" -#include "ParserPrototxtFixture.hpp" - -#include <array> -#include <string> -#include <iostream> - -BOOST_AUTO_TEST_SUITE(TensorflowParser) - -struct Convolution2dFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> -{ - explicit Convolution2dFixture(const std::string& dataLayout, const std::string& paddingType) - : Convolution2dFixture(dataLayout, paddingType, 1) - {} - - // Dilation: 0 - dilations attribute is not included; - // Dilation: >0 - dilations attribute set to [1,v,v,1], where v is the value of the dilation arg - explicit Convolution2dFixture(const std::string& dataLayout, const std::string& paddingType, - int stride, int dilation = 0) - { - std::string strideString (" i: 1 \n" - " i: 1 \n"); - if (dataLayout == "NHWC") - { - strideString.append(" i: " + std::to_string(stride) + " \n" - " i: 1 \n"); - } - else // dataLayout == "NCHW" - { - strideString.append(" i: 1 \n" - " i: " + std::to_string(stride) + " \n"); - } - - std::string dilationString; - if (dataLayout == "NHWC") - { - dilationString.append(" i: 1 \n" - " i: " + std::to_string(dilation) + " \n" - " i: " + std::to_string(dilation) + " \n" - " i: 1 \n"); - } - else // dataLayout == "NCHW" - { - dilationString.append(" i: 1 \n" - " i: 1 \n" - " i: " + std::to_string(dilation) + " \n" - " i: " + std::to_string(dilation) + " \n"); - } - - m_Prototext = "node { \n" - " name: \"graphInput\" \n" - " op: \"Placeholder\" \n" - " attr { \n" - " key: \"dtype\" \n" - " value { \n" - " type: DT_FLOAT \n" - " } \n" - " } \n" - " attr { \n" - " key: \"shape\" \n" - " value { \n" - " shape { \n" - " } \n" - " } \n" - " } \n" - " } \n" - " node { \n" - " name: \"Const_1\" \n" - " op: \"Const\" \n" - " attr { \n" - " key: \"dtype\" \n" - " value { \n" - " type: DT_FLOAT \n" - " } \n" - " } \n" - " attr { \n" - " key: \"value\" \n" - " value { \n" - " tensor { \n" - " dtype: DT_FLOAT \n" - " tensor_shape { \n" - " dim { \n" - " size: 1 \n" - " } \n" - " dim { \n" - " size: 3 \n" - " } \n" - " dim { \n" - " size: 1 \n" - " } \n" - " dim { \n" - " size: 1 \n" - " } \n" - " } \n" - " tensor_content: \"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?\" \n" - " } \n" - " } \n" - " } \n" - "} \n" - "node { \n" - " name: \"potato\" \n" - " op: \"Conv2D\" \n" - " input: \"graphInput\" \n" - " input: \"Const_1\" \n" - " attr { \n" - " key: \"T\" \n" - " value { \n" - " type: DT_FLOAT \n" - " } \n" - " } \n" - " attr { \n" - " key: \"data_format\" \n" - " value { \n" - " s: \""; - m_Prototext.append(dataLayout); - m_Prototext.append("\"\n" - " } \n" - " } \n" - " attr { \n" - " key: \"padding\" \n" - " value { \n" - " s: \""); - m_Prototext.append(paddingType); - m_Prototext.append("\"\n" - " } \n" - " } \n" - " attr { \n" - " key: \"strides\" \n" - " value { \n" - " list { \n"); - m_Prototext.append(strideString); - - m_Prototext.append(" } \n" - " } \n" - " } \n"); - - if (dilation > 0) - { - m_Prototext.append(" attr { \n" - " key: \"dilations\" \n" - " value { \n" - " list { \n"); - m_Prototext.append(dilationString); - - m_Prototext.append(" } \n" - " } \n" - " } \n"); - } - m_Prototext.append(" attr { \n" - " key: \"use_cudnn_on_gpu\" \n" - " value { \n" - " b: false \n" - " } \n" - " } \n" - "} \n"); - - // Manual height computation based on stride parameter. - ARMNN_ASSERT_MSG(stride == 1 || stride == 2, "Add support for strides other than 1 or 2."); - std::array<unsigned int, 4> dims; - if (dataLayout == "NHWC") - { - dims = { 1u, (stride == 2 ? 3u : 2u), 3u, 1u }; - } - else // dataLayout == "NCHW" - { - dims = { 1u, 1u, (stride == 2 ? 3u : 2u), 3u }; - } - - SetupSingleInputSingleOutput(armnn::TensorShape(4, dims.data()), "graphInput", "potato"); - } -}; - -struct Convolution2dNhwcSameFixture : Convolution2dFixture -{ - Convolution2dNhwcSameFixture() : Convolution2dFixture("NHWC", "SAME", 1){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dNhwcSame, Convolution2dNhwcSameFixture) -{ - RunTest<4>({1, 2, 3, 4, 5, 6}, {2, 4, 4, 6.5f, 10 , 8.5f}); -} - -struct Convolution2dNchwSameFixture : Convolution2dFixture -{ - Convolution2dNchwSameFixture() : Convolution2dFixture("NCHW", "SAME", 1){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dNchwSame, Convolution2dNchwSameFixture) -{ - RunTest<4>({1, 2, 3, 4, 5, 6}, {2, 4, 4, 6.5f, 10 , 8.5f}); -} - - -struct Convolution2dNhwcValidFixture : Convolution2dFixture -{ - Convolution2dNhwcValidFixture() : Convolution2dFixture("NHWC", "VALID", 1){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dNhwcValid, Convolution2dNhwcValidFixture) -{ - RunTest<4>({1, 2, 3, 4, 5, 6}, {4, 10}); -} - -struct Convolution2dNchwValidFixture : Convolution2dFixture -{ - Convolution2dNchwValidFixture() : Convolution2dFixture("NCHW", "VALID", 1){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dNchwValid, Convolution2dNchwValidFixture) -{ - RunTest<4>({1, 2, 3, 4, 5, 6}, {4, 10}); -} - - -struct Convolution2dStride2NhwcSameFixture : Convolution2dFixture -{ - Convolution2dStride2NhwcSameFixture() : Convolution2dFixture("NHWC", "SAME", 2){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dStride2NhwcSame, Convolution2dStride2NhwcSameFixture) -{ - RunTest<4>({1, 2, 3, 4, 5, 6, 7, 8, 9}, {2, 4, 6.5, 8.5, 11, 13}); -} - -struct Convolution2dStride2NchwSameFixture : Convolution2dFixture -{ - Convolution2dStride2NchwSameFixture() : Convolution2dFixture("NCHW", "SAME", 2){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dStride2NchwSame, Convolution2dStride2NchwSameFixture) -{ - RunTest<4>({1, 2, 3, 4, 5, 6, 7, 8, 9}, {2, 4, 6.5, 8.5, 11, 13}); -} - - -struct Convolution2dStride2NhwcValidFixture : Convolution2dFixture -{ - Convolution2dStride2NhwcValidFixture() : Convolution2dFixture("NHWC", "VALID", 2){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dStride2NhwcValid, Convolution2dStride2NhwcValidFixture) -{ - RunTest<4>({1, 2, 3, 4, 5, 6, 7, 8, 9}, {4, 10, 16}); -} - -struct Convolution2dStride2NchwValidFixture : Convolution2dFixture -{ - Convolution2dStride2NchwValidFixture() : Convolution2dFixture("NCHW", "VALID", 2){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dStride2NchwValid, Convolution2dStride2NchwValidFixture) -{ - RunTest<4>({1, 2, 3, 4, 5, 6, 7, 8, 9}, {4, 10, 16}); -} - - -struct Convolution2dDilation1NhwcFixture : Convolution2dFixture -{ - Convolution2dDilation1NhwcFixture() : Convolution2dFixture("NHWC", "SAME", 1, 1){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dDilation1Nhwc, Convolution2dDilation1NhwcFixture) -{ - RunTest<4>({1, 2, 3, 4, 5, 6}, {2, 4, 4, 6.5f, 10 , 8.5f}); -} - -struct Convolution2dDilation1NchwFixture : Convolution2dFixture -{ - Convolution2dDilation1NchwFixture() : Convolution2dFixture("NCHW", "SAME", 1, 1){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dDilation1Nchw, Convolution2dDilation1NchwFixture) -{ - RunTest<4>({1, 2, 3, 4, 5, 6}, {2, 4, 4, 6.5f, 10 , 8.5f}); -} - -struct Convolution2dDilationFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> -{ - explicit Convolution2dDilationFixture(const std::string& dataLayout, const std::string& paddingType) - : Convolution2dDilationFixture(dataLayout, paddingType, 1) - {} - - explicit Convolution2dDilationFixture(const std::string& dataLayout, const std::string& paddingType, - int stride, int dilation = 0) - { - std::string strideString; - if (dataLayout == "NHWC") - { - strideString.append(" i: 1 \n" - " i: " + std::to_string(stride) + " \n" - " i: " + std::to_string(stride) + " \n" - " i: 1 \n"); - } - else // dataLayout == "NCHW" - { - strideString.append(" i: 1 \n" - " i: 1 \n" - " i: " + std::to_string(stride) + " \n" - " i: " + std::to_string(stride) + " \n"); - } - - std::string dilationString; - if (dataLayout == "NHWC") - { - dilationString.append(" i: 1 \n" - " i: " + std::to_string(dilation) + " \n" - " i: " + std::to_string(dilation) + " \n" - " i: 1 \n"); - } - else // dataLayout == "NCHW" - { - dilationString.append(" i: 1 \n" - " i: 1 \n" - " i: " + std::to_string(dilation) + " \n" - " i: " + std::to_string(dilation) + " \n"); - } - - m_Prototext = "node { \n" - " name: \"graphInput\" \n" - " op: \"Placeholder\" \n" - " attr { \n" - " key: \"dtype\" \n" - " value { \n" - " type: DT_FLOAT \n" - " } \n" - " } \n" - " attr { \n" - " key: \"shape\" \n" - " value { \n" - " shape { \n" - " } \n" - " } \n" - " } \n" - " } \n" - " node { \n" - " name: \"Const_1\" \n" - " op: \"Const\" \n" - " attr { \n" - " key: \"dtype\" \n" - " value { \n" - " type: DT_FLOAT \n" - " } \n" - " } \n" - " attr { \n" - " key: \"value\" \n" - " value { \n" - " tensor { \n" - " dtype: DT_FLOAT \n" - " tensor_shape { \n" - " dim { \n" - " size: 3 \n" - " } \n" - " dim { \n" - " size: 1 \n" - " } \n" - " dim { \n" - " size: 1 \n" - " } \n" - " dim { \n" - " size: 1 \n" - " } \n" - " } \n" - " tensor_content: \"\\001\\000\\000?\\000\\000\\000?\\001\\000\\000?\" \n" - " } \n" - " } \n" - " } \n" - "} \n" - "node { \n" - " name: \"potato\" \n" - " op: \"Conv2D\" \n" - " input: \"graphInput\" \n" - " input: \"Const_1\" \n" - " attr { \n" - " key: \"T\" \n" - " value { \n" - " type: DT_FLOAT \n" - " } \n" - " } \n" - " attr { \n" - " key: \"data_format\" \n" - " value { \n" - " s: \""; - m_Prototext.append(dataLayout); - m_Prototext.append("\"\n" - " } \n" - " } \n" - " attr { \n" - " key: \"padding\" \n" - " value { \n" - " s: \""); - m_Prototext.append(paddingType); - m_Prototext.append("\"\n" - " } \n" - " } \n" - " attr { \n" - " key: \"strides\" \n" - " value { \n" - " list { \n"); - m_Prototext.append(strideString); - - m_Prototext.append(" } \n" - " } \n" - " } \n"); - - if (dilation > 0) - { - m_Prototext.append(" attr { \n" - " key: \"dilations\" \n" - " value { \n" - " list { \n"); - m_Prototext.append(dilationString); - - m_Prototext.append(" } \n" - " } \n" - " } \n"); - } - m_Prototext.append(" attr { \n" - " key: \"use_cudnn_on_gpu\" \n" - " value { \n" - " b: false \n" - " } \n" - " } \n" - "} \n"); - - // Manual height computation based on stride parameter. - std::array<unsigned int, 4> dims = { 1u, 1u, 6u, 6u };; - - SetupSingleInputSingleOutput(armnn::TensorShape(4, dims.data()), "graphInput", "potato"); - } -}; - -struct Convolution2dDilation2NchwValidFixture : Convolution2dDilationFixture -{ - Convolution2dDilation2NchwValidFixture() : Convolution2dDilationFixture("NCHW", "VALID", 1, 2){} -}; -BOOST_FIXTURE_TEST_CASE(ParseConv2dDilation2NchwValid, Convolution2dDilation2NchwValidFixture) -{ - RunTest<4>({1.0, 2.0, 3.0, 4.0, 5.0, 6.0, - 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, - 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, - 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, - 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, - 7.0, 8.0, 9.0, 10.0, 11.0, 12.0}, - {1.5f, 3.0f, 4.5f, 6.0f, 7.5f, 9.0f, 10.5f, 12.f, 13.5f, 15.0f, 16.5f, 18.0f}); -} - - -BOOST_AUTO_TEST_SUITE_END() |