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author | Matthew Jackson <matthew.jackson@arm.com> | 2019-07-18 10:47:03 +0100 |
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committer | Áron Virginás-Tar <aron.virginas-tar@arm.com> | 2019-07-22 11:40:47 +0000 |
commit | 28c94573013d7caf429601f529c6f690cd4994e2 (patch) | |
tree | 7af303198462dfd62edc6ddb972abfaa194bc252 /src/armnnTfLiteParser/test/L2Normalization.cpp | |
parent | 84062b74fc14e02ecc178f51ba76af91cffcdb5f (diff) | |
download | armnn-28c94573013d7caf429601f529c6f690cd4994e2.tar.gz |
IVGCVSW-3383 - Add TfLite Parser support for L2 Normalization layer
* Added ParseL2Normalization in TfLiteParser
* Added new unit tests L2Normalization.cpp
* Added documentation for supported L2 Normalization to TensorflorLiteSupport.md
Signed-off-by: Matthew Jackson <matthew.jackson@arm.com>
Change-Id: I83ea75d1791ac8a00390aed3e5d0a7b337fcd46d
Diffstat (limited to 'src/armnnTfLiteParser/test/L2Normalization.cpp')
-rw-r--r-- | src/armnnTfLiteParser/test/L2Normalization.cpp | 128 |
1 files changed, 128 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/L2Normalization.cpp b/src/armnnTfLiteParser/test/L2Normalization.cpp new file mode 100644 index 0000000000..0dd5eeffac --- /dev/null +++ b/src/armnnTfLiteParser/test/L2Normalization.cpp @@ -0,0 +1,128 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include <boost/test/unit_test.hpp> +#include "ParserFlatbuffersFixture.hpp" +#include "../TfLiteParser.hpp" + +#include <string> +#include <iostream> + +BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) + +struct L2NormalizationFixture : public ParserFlatbuffersFixture +{ + explicit L2NormalizationFixture(const std::string & inputOutputShape) + { + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ { "builtin_code": "L2_NORMALIZATION" } ], + "subgraphs": [ { + "tensors": [ + { + "shape": )" + inputOutputShape + R"(, + "type": "FLOAT32", + "buffer": 0, + "name": "inputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + inputOutputShape + R"(, + "type": "FLOAT32", + "buffer": 1, + "name": "outputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + } + ], + "inputs": [ 0 ], + "outputs": [ 1 ], + "operators": [ + { + "opcode_index": 0, + "inputs": [ 0 ], + "outputs": [ 1 ], + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { } + ] + } + )"; + Setup(); + } +}; + +float CalcL2Norm(std::initializer_list<float> elements) +{ + const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f, + [](float acc, float element) { return acc + element * element; }); + const float eps = 1e-12f; + const float max = reduction < eps ? eps : reduction; + return sqrtf(max); +} + +struct L2NormalizationFixture4D : L2NormalizationFixture +{ + // TfLite uses NHWC shape + L2NormalizationFixture4D() : L2NormalizationFixture("[ 1, 1, 4, 3 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseL2Normalization4D, L2NormalizationFixture4D) +{ + RunTest<4, armnn::DataType::Float32>( + 0, + {{"inputTensor", { 1.0f, 2.0f, 3.0f, + 4.0f, 5.0f, 6.0f, + 7.0f, 8.0f, 9.0f, + 10.0f, 11.0f, 12.0f }}}, + + {{"outputTensor", { 1.0f / CalcL2Norm({ 1.0f, 2.0f, 3.0f }), + 2.0f / CalcL2Norm({ 1.0f, 2.0f, 3.0f }), + 3.0f / CalcL2Norm({ 1.0f, 2.0f, 3.0f }), + + 4.0f / CalcL2Norm({ 4.0f, 5.0f, 6.0f }), + 5.0f / CalcL2Norm({ 4.0f, 5.0f, 6.0f }), + 6.0f / CalcL2Norm({ 4.0f, 5.0f, 6.0f }), + + 7.0f / CalcL2Norm({ 7.0f, 8.0f, 9.0f }), + 8.0f / CalcL2Norm({ 7.0f, 8.0f, 9.0f }), + 9.0f / CalcL2Norm({ 7.0f, 8.0f, 9.0f }), + + 10.0f / CalcL2Norm({ 10.0f, 11.0f, 12.0f }), + 11.0f / CalcL2Norm({ 10.0f, 11.0f, 12.0f }), + 12.0f / CalcL2Norm({ 10.0f, 11.0f, 12.0f }) }}}); +} + +struct L2NormalizationSimpleFixture4D : L2NormalizationFixture +{ + L2NormalizationSimpleFixture4D() : L2NormalizationFixture("[ 1, 1, 1, 4 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseL2NormalizationEps4D, L2NormalizationSimpleFixture4D) +{ + RunTest<4, armnn::DataType::Float32>( + 0, + {{"inputTensor", { 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }}}, + + {{"outputTensor", { 0.00000001f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }), + 0.00000002f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }), + 0.00000003f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }), + 0.00000004f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }) }}}); +} + +BOOST_AUTO_TEST_SUITE_END() |