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Diffstat (limited to 'src/armnnTfParser/test/DepthwiseConvolution2d.cpp')
| -rw-r--r-- | src/armnnTfParser/test/DepthwiseConvolution2d.cpp | 190 |
1 files changed, 0 insertions, 190 deletions
diff --git a/src/armnnTfParser/test/DepthwiseConvolution2d.cpp b/src/armnnTfParser/test/DepthwiseConvolution2d.cpp deleted file mode 100644 index 43a7ebc28e..0000000000 --- a/src/armnnTfParser/test/DepthwiseConvolution2d.cpp +++ /dev/null @@ -1,190 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "ParserPrototxtFixture.hpp" - -#include "armnnTfParser/ITfParser.hpp" - -#include <armnnUtils/Permute.hpp> - -#include <boost/test/unit_test.hpp> - -#include <string> -#include <iostream> - -using namespace armnnUtils; -using namespace armnn; - -BOOST_AUTO_TEST_SUITE(TensorflowParser) - -struct DepthwiseConvolution2dFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> -{ - explicit DepthwiseConvolution2dFixture(const std::string& dataLayout, const char* paddingType) - { - 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: 3 \n" - " } \n" - " dim { \n" - " size: 3 \n" - " } \n" - " } \n" - " tensor_content: \"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?" - "\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?" - "\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?" - "\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?" - "\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?" - "\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?" - "\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?" - "\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?" - "\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?\" \n" - " } \n" - " } \n" - " } \n" - "} \n" - "node { \n" - " name: \"potato\" \n" - " op: \"DepthwiseConv2dNative\" \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" - " i: 1 \n" - " i: 1 \n" - " i: 1 \n" - " i: 1 \n" - " } \n" - " } \n" - " } \n" - " attr { \n" - " key: \"use_cudnn_on_gpu\" \n" - " value { \n" - " b: false \n" - " } \n" - " } \n" - "} \n"); - - if(dataLayout == "NHWC") - { - SetupSingleInputSingleOutput({ 1u, 1u, 3u, 3u }, "graphInput", "potato"); - } - else - { - SetupSingleInputSingleOutput({ 1u, 3u, 1u, 3u }, "graphInput", "potato"); - } - } -}; - -struct DepthwiseConvolution2dNhwcSameFixture : DepthwiseConvolution2dFixture -{ - DepthwiseConvolution2dNhwcSameFixture() : DepthwiseConvolution2dFixture("NHWC", "SAME") { } -}; - -BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DNhwcSame, DepthwiseConvolution2dNhwcSameFixture) -{ - RunTest<4>({ 1, 2, 3, 4, 5, 6, 7, 8, 9 }, - { 2.5f, 5.f, 2.5f, 3.5f, 7.f, 3.5f, 4.5f, 9.f, 4.5f, - 6.f, 12.f, 6.f, 7.5f, 15.f, 7.5f, 9.f, 18.f, 9.f, - 5.5f, 11.f, 5.5f, 6.5f, 13.f, 6.5f, 7.5f, 15.f, 7.5f }); -} - -struct DepthwiseConvolution2dNchwSameFixture : DepthwiseConvolution2dFixture -{ - DepthwiseConvolution2dNchwSameFixture() : DepthwiseConvolution2dFixture("NCHW", "SAME") { } -}; - -BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DNchwSame, DepthwiseConvolution2dNchwSameFixture) -{ - RunTest<4>({ 1, 4, 7, 2, 5, 8, 3, 6, 9 }, - { 2.5f, 6.f, 5.5f, 5.f, 12.f, 11.f, 2.5f, 6.f, 5.5f, - 3.5f, 7.5f, 6.5f, 7.f, 15.f, 13.f, 3.5f, 7.5f, 6.5f, - 4.5f, 9.f, 7.5f, 9.f, 18.f, 15.f, 4.5f, 9.f, 7.5f }); -} - -struct DepthwiseConvolution2dNhwcValidFixture : DepthwiseConvolution2dFixture -{ - DepthwiseConvolution2dNhwcValidFixture() : DepthwiseConvolution2dFixture("NHWC", "VALID") { } -}; - -BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DNhwcValid, DepthwiseConvolution2dNhwcValidFixture) -{ - RunTest<4>({ 1, 2, 3, 4, 5, 6, 7, 8, 9 }, // input data - { 6.f, 12.f, 6.f, 7.5f, 15.f, 7.5f, 9.f, 18.f, 9.f }); // output expected data -} - -struct DepthwiseConvolution2dNchwValidFixture : DepthwiseConvolution2dFixture -{ - DepthwiseConvolution2dNchwValidFixture() : DepthwiseConvolution2dFixture("NCHW", "VALID") { } -}; - -BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DNchwValid, DepthwiseConvolution2dNchwValidFixture) -{ - RunTest<4>({ 1, 4, 7, 2, 5, 8, 3, 6, 9 }, - { 6.f, 12.f, 6.f, 7.5f, 15.f, 7.5f, 9.f, 18.f, 9.f }); -} - - -BOOST_AUTO_TEST_SUITE_END() |