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Diffstat (limited to 'src/armnnTfParser/test/Shape.cpp')
-rw-r--r-- | src/armnnTfParser/test/Shape.cpp | 93 |
1 files changed, 0 insertions, 93 deletions
diff --git a/src/armnnTfParser/test/Shape.cpp b/src/armnnTfParser/test/Shape.cpp deleted file mode 100644 index 52fe9c8951..0000000000 --- a/src/armnnTfParser/test/Shape.cpp +++ /dev/null @@ -1,93 +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" - -BOOST_AUTO_TEST_SUITE(TensorflowParser) - -struct ShapeFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> -{ - ShapeFixture() - { - m_Prototext = - "node { \n" - " name: \"Placeholder\" \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" - " dim { \n" - " size: 1 \n" - " } \n" - " dim { \n" - " size: 1 \n" - " } \n" - " dim { \n" - " size: 1 \n" - " } \n" - " dim { \n" - " size: 4 \n" - " } \n" - " } \n" - " } \n" - " } \n" - "} \n" - "node { \n" - " name: \"shapeTest\" \n" - " op: \"Shape\" \n" - " input: \"Placeholder\" \n" - " attr { \n" - " key: \"T\" \n" - " value { \n" - " type: DT_FLOAT \n" - " } \n" - " } \n" - " attr { \n" - " key: \"out_type\" \n" - " value { \n" - " type: DT_INT32 \n" - " } \n" - " } \n" - "} \n" - "node { \n" - " name: \"Reshape\" \n" - " op: \"Reshape\" \n" - " input: \"Placeholder\" \n" - " input: \"shapeTest\" \n" - " attr { \n" - " key: \"T\" \n" - " value { \n" - " type: DT_FLOAT \n" - " } \n" - " } \n" - " attr { \n" - " key: \"Tshape\" \n" - " value { \n" - " type: DT_INT32 \n" - " } \n" - " } \n" - "} \n"; - - SetupSingleInputSingleOutput({1, 4}, "Placeholder", "Reshape"); - } -}; - -BOOST_FIXTURE_TEST_CASE(ParseShape, ShapeFixture) -{ - // Note: the test's output cannot be an int32 const layer, because ARMNN only supports u8 and float layers. - // For that reason I added a reshape layer which reshapes the input to its original dimensions. - RunTest<2>({ 0.0f, 1.0f, 2.0f, 3.0f }, { 0.0f, 1.0f, 2.0f, 3.0f }); -} - -BOOST_AUTO_TEST_SUITE_END() |