From dd3f71b64072c44cec65a7a883d0c3a29659645c Mon Sep 17 00:00:00 2001 From: Sang-Hoon Park Date: Tue, 18 Feb 2020 11:27:35 +0000 Subject: COMPMID-3060: Add TF Parser support for Transpose Signed-off-by: Sang-Hoon Park Change-Id: I9661787071554b38c5b0ab3c98431f3863b98520 --- src/armnnTfParser/test/Transpose.cpp | 151 +++++++++++++++++++++++++++++++++++ 1 file changed, 151 insertions(+) create mode 100644 src/armnnTfParser/test/Transpose.cpp (limited to 'src/armnnTfParser/test/Transpose.cpp') diff --git a/src/armnnTfParser/test/Transpose.cpp b/src/armnnTfParser/test/Transpose.cpp new file mode 100644 index 0000000000..dd73bd90a2 --- /dev/null +++ b/src/armnnTfParser/test/Transpose.cpp @@ -0,0 +1,151 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "armnnTfParser/ITfParser.hpp" +#include "ParserPrototxtFixture.hpp" + +#include +#include + +BOOST_AUTO_TEST_SUITE(TensorflowParser) + +namespace +{ + std::string ConvertInt32VectorToOctalString(const std::vector& data) + { + std::stringstream ss; + ss << "\""; + std::for_each(data.begin(), data.end(), [&ss](unsigned int d) { + ss << armnnUtils::ConvertInt32ToOctalString(static_cast(d)); + }); + ss << "\""; + return ss.str(); + } +} // namespace + +struct TransposeFixture : public armnnUtils::ParserPrototxtFixture +{ + TransposeFixture(const armnn::TensorShape& inputShape, + const std::vector& permuteVectorData) + { + using armnnUtils::ConvertTensorShapeToString; + armnn::TensorShape permuteVectorShape({static_cast(permuteVectorData.size())}); + + m_Prototext = "node {\n" +" name: \"input\"\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"; + m_Prototext.append(ConvertTensorShapeToString(inputShape)); + m_Prototext.append( +" }\n" +" }\n" +" }\n" +"}\n" +"node {\n" +" name: \"transpose/perm\"\n" +" op: \"Const\"\n" +" attr {\n" +" key: \"dtype\"\n" +" value {\n" +" type: DT_INT32\n" +" }\n" +" }\n" +" attr {\n" +" key: \"value\"\n" +" value {\n" +" tensor {\n" +" dtype: DT_INT32\n" +" tensor_shape {\n" + ); + m_Prototext.append(ConvertTensorShapeToString(permuteVectorShape)); + m_Prototext.append( +" }\n" +" tensor_content: " + ); + m_Prototext.append(ConvertInt32VectorToOctalString(permuteVectorData) + "\n"); + m_Prototext.append( +" }\n" +" }\n" +" }\n" +"}\n" + ); + m_Prototext.append( +"node {\n" +" name: \"output\"\n" +" op: \"Transpose\"\n" +" input: \"input\"\n" +" input: \"transpose/perm\"\n" +" attr {\n" +" key: \"T\"\n" +" value {\n" +" type: DT_FLOAT\n" +" }\n" +" }\n" +" attr {\n" +" key: \"Tperm\"\n" +" value {\n" +" type: DT_INT32\n" +" }\n" +" }\n" +"}\n" + ); + Setup({{"input", inputShape}}, {"output"}); + } +}; + +struct TransposeFixtureWithPermuteData : TransposeFixture +{ + TransposeFixtureWithPermuteData() + : TransposeFixture({2, 2, 3, 4}, + std::vector({1, 3, 2, 0})) {} +}; + +BOOST_FIXTURE_TEST_CASE(TransposeWithPermuteData, TransposeFixtureWithPermuteData) +{ + RunTest<4>( + {{"input", {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, + 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, + 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47}}}, + {{"output", {0, 24, 4, 28, 8, 32, 1, 25, 5, 29, 9, 33, 2, 26, 6, + 30, 10, 34, 3, 27, 7, 31, 11, 35, 12, 36, 16, 40, 20, 44, 13, 37, + 17, 41, 21, 45, 14, 38, 18, 42, 22, 46, 15, 39, 19, 43, 23, 47}}}); + + BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("output").second.GetShape() + == armnn::TensorShape({2, 4, 3, 2}))); +} + +struct TransposeFixtureWithoutPermuteData : TransposeFixture +{ + // In case permute data is not given, it assumes (n-1,...,0) is given + // where n is the rank of input tensor. + TransposeFixtureWithoutPermuteData() + : TransposeFixture({2, 2, 3, 4}, + std::vector({3, 2, 1, 0})) {} +}; + +BOOST_FIXTURE_TEST_CASE(TransposeWithoutPermuteData, TransposeFixtureWithoutPermuteData) +{ + RunTest<4>( + {{"input", {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, + 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, + 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47}}}, + {{"output", {0, 24, 12, 36, 4, 28, 16, 40, 8, 32, 20, 44, 1, 25, + 13, 37, 5, 29, 17, 41, 9, 33, 21, 45, 2, 26, 14, 38, 6, 30, 18, + 42,10, 34, 22, 46, 3, 27, 15, 39, 7, 31, 19, 43, 11, 35, 23, 47}}}); + + BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("output").second.GetShape() + == armnn::TensorShape({4, 3, 2, 2}))); +} + +BOOST_AUTO_TEST_SUITE_END() -- cgit v1.2.1