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author | Matthew Sloyan <matthew.sloyan@arm.com> | 2021-04-09 14:38:52 +0100 |
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committer | Matthew Sloyan <matthew.sloyan@arm.com> | 2021-04-09 16:34:18 +0100 |
commit | 28f177c45cb8e23b86c9f3ff435921183340fc33 (patch) | |
tree | f44a2a25e918191cf5f841f03a1a09ab264011bf /src/armnnTfLiteParser/test/ArgMinMax.cpp | |
parent | 1f140f7226c4ed7bc5cbaf2ce09654eee452f4bf (diff) | |
download | armnn-28f177c45cb8e23b86c9f3ff435921183340fc33.tar.gz |
IVGCVSW-5804 TfLiteParser fails to correctly parse ArgMinMax
* Fix for GitHub#523.
* Updated ParseArgMinMax function to read correct axis data.
* Improved validation in ParseArgMinMax function.
* Added ARG_MIN support to TfLiteParser.
* Added ArgMinMax unit tests for TfLiteParser.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib4ce1a7c66e210c47859a130c4896aac958f2654
Diffstat (limited to 'src/armnnTfLiteParser/test/ArgMinMax.cpp')
-rw-r--r-- | src/armnnTfLiteParser/test/ArgMinMax.cpp | 164 |
1 files changed, 164 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/ArgMinMax.cpp b/src/armnnTfLiteParser/test/ArgMinMax.cpp new file mode 100644 index 0000000000..ad99b48281 --- /dev/null +++ b/src/armnnTfLiteParser/test/ArgMinMax.cpp @@ -0,0 +1,164 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include <boost/test/unit_test.hpp> +#include "ParserFlatbuffersFixture.hpp" +#include "../TfLiteParser.hpp" + +#include <iostream> +#include <string> + +BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) + +struct ArgMinMaxFixture : public ParserFlatbuffersFixture +{ + explicit ArgMinMaxFixture(const std::string& operatorCode, + const std::string& inputShape, + const std::string& outputShape, + const std::string& axisData) + { + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ { "builtin_code": )" + operatorCode + R"( } ], + "subgraphs": [ { + "tensors": [ + { + "shape": )" + inputShape + R"(, + "type": "FLOAT32", + "buffer": 0, + "name": "inputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + outputShape + R"( , + "type": "INT32", + "buffer": 1, + "name": "outputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": [ 1 ], + "type": "INT32", + "buffer": 2, + "name": "axis", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + ], + "inputs": [ 0 ], + "outputs": [ 1 ], + "operators": [ + { + "opcode_index": 0, + "inputs": [ 0 , 2 ], + "outputs": [ 1 ], + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { }, + { }, + { "data": )" + axisData + R"(, }, + ] + } + )"; + + SetupSingleInputSingleOutput("inputTensor", "outputTensor"); + } +}; + +struct SimpleArgMaxFixture : public ArgMinMaxFixture +{ + SimpleArgMaxFixture() : ArgMinMaxFixture("ARG_MAX", + "[ 1, 1, 1, 5 ]", + "[ 1, 1, 1 ]", + "[ 3, 0, 0, 0 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseSimpleArgMax, SimpleArgMaxFixture) +{ + RunTest<3, armnn::DataType::Float32, armnn::DataType::Signed32>( + 0, + {{ "inputTensor", { 6.0f, 2.0f, 8.0f, 10.0f, 9.0f } } }, + {{ "outputTensor", { 3l } } }); +} + +struct ArgMaxFixture : public ArgMinMaxFixture +{ + ArgMaxFixture() : ArgMinMaxFixture("ARG_MAX", + "[ 3, 2, 1, 4 ]", + "[ 2, 1, 4 ]", + "[ 0, 0, 0, 0 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseArgMax, ArgMaxFixture) +{ + RunTest<3, armnn::DataType::Float32, armnn::DataType::Signed32>( + 0, + {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, + 8.0f, 7.0f, 6.0f, 6.0f, + 100.0f, 20.0f, 300.0f, 40.0f, + 500.0f, 476.0f, 450.0f, 426.0f, + 50.0f, 60.0f, 70.0f, 80.0f, + 10.0f, 200.0f, 30.0f, 400.0f } } }, + {{ "outputTensor", { 1, 2, 1, 2, + 1, 1, 1, 1 } } }); +} + +struct SimpleArgMinFixture : public ArgMinMaxFixture +{ + SimpleArgMinFixture() : ArgMinMaxFixture("ARG_MIN", + "[ 1, 1, 1, 5 ]", + "[ 1, 1, 1 ]", + "[ 3, 0, 0, 0 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseSimpleArgMin, SimpleArgMinFixture) +{ + RunTest<3, armnn::DataType::Float32, armnn::DataType::Signed32>( + 0, + {{ "inputTensor", { 6.0f, 2.0f, 8.0f, 10.0f, 9.0f } } }, + {{ "outputTensor", { 1l } } }); +} + +struct ArgMinFixture : public ArgMinMaxFixture +{ + ArgMinFixture() : ArgMinMaxFixture("ARG_MIN", + "[ 3, 2, 1, 4 ]", + "[ 2, 1, 4 ]", + "[ 0, 0, 0, 0 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseArgMin, ArgMinFixture) +{ + RunTest<3, armnn::DataType::Float32, armnn::DataType::Signed32>( + 0, + {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, + 8.0f, 7.0f, 6.0f, 6.0f, + 100.0f, 20.0f, 300.0f, 40.0f, + 500.0f, 476.0f, 450.0f, 426.0f, + 50.0f, 60.0f, 70.0f, 80.0f, + 10.0f, 200.0f, 30.0f, 400.0f } } }, + {{ "outputTensor", { 0, 0, 0, 0, + 0, 0, 0, 0 } } }); +} + +BOOST_AUTO_TEST_SUITE_END() |