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Diffstat (limited to 'src/armnnTfParser/test/Convolution2d.cpp')
-rw-r--r--src/armnnTfParser/test/Convolution2d.cpp444
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()
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-01 11:39:40 +0000