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author | Keith Davis <keith.davis@arm.com> | 2021-04-08 11:47:23 +0100 |
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committer | KeithARM <keith.davis@arm.com> | 2021-04-09 10:41:09 +0000 |
commit | 7c67fabc86b6647855beebac9f6cfe92341357cb (patch) | |
tree | f7001e3422918898cc0c181beeee3917088cfa12 /delegate/src/test/NormalizationTestHelper.hpp | |
parent | 015b3f025d1f1ccb75d3f437bee8ed8dcfee302b (diff) | |
download | armnn-7c67fabc86b6647855beebac9f6cfe92341357cb.tar.gz |
IVGCVSW-5803 Delegate Unit Tests Failure on Android: Normalization & Softmax
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I2873f8563cc11da550d460b04e5175372489a564
Diffstat (limited to 'delegate/src/test/NormalizationTestHelper.hpp')
-rw-r--r-- | delegate/src/test/NormalizationTestHelper.hpp | 81 |
1 files changed, 81 insertions, 0 deletions
diff --git a/delegate/src/test/NormalizationTestHelper.hpp b/delegate/src/test/NormalizationTestHelper.hpp index bc969c248d..ebdfdc1a25 100644 --- a/delegate/src/test/NormalizationTestHelper.hpp +++ b/delegate/src/test/NormalizationTestHelper.hpp @@ -178,4 +178,85 @@ void NormalizationTest(tflite::BuiltinOperator normalizationOperatorCode, armnnDelegate::CompareOutputData(tfLiteInterpreter, armnnDelegateInterpreter, outputShape, expectedOutputValues); } +void L2NormalizationTest(std::vector<armnn::BackendId>& backends) +{ + // Set input data + std::vector<int32_t> inputShape { 1, 1, 1, 10 }; + std::vector<int32_t> outputShape { 1, 1, 1, 10 }; + + std::vector<float> inputValues + { + 1.0f, + 2.0f, + 3.0f, + 4.0f, + 5.0f, + 6.0f, + 7.0f, + 8.0f, + 9.0f, + 10.0f + }; + + const float approxInvL2Norm = 0.050964719f; + std::vector<float> expectedOutputValues + { + 1.0f * approxInvL2Norm, + 2.0f * approxInvL2Norm, + 3.0f * approxInvL2Norm, + 4.0f * approxInvL2Norm, + 5.0f * approxInvL2Norm, + 6.0f * approxInvL2Norm, + 7.0f * approxInvL2Norm, + 8.0f * approxInvL2Norm, + 9.0f * approxInvL2Norm, + 10.0f * approxInvL2Norm + }; + + NormalizationTest<float>(tflite::BuiltinOperator_L2_NORMALIZATION, + ::tflite::TensorType_FLOAT32, + backends, + inputShape, + outputShape, + inputValues, + expectedOutputValues); +} + +void LocalResponseNormalizationTest(std::vector<armnn::BackendId>& backends, + int32_t radius, + float bias, + float alpha, + float beta) +{ + // Set input data + std::vector<int32_t> inputShape { 2, 2, 2, 1 }; + std::vector<int32_t> outputShape { 2, 2, 2, 1 }; + + std::vector<float> inputValues + { + 1.0f, 2.0f, + 3.0f, 4.0f, + 5.0f, 6.0f, + 7.0f, 8.0f + }; + + std::vector<float> expectedOutputValues + { + 0.5f, 0.400000006f, 0.300000012f, 0.235294119f, + 0.192307696f, 0.16216217f, 0.140000001f, 0.123076923f + }; + + NormalizationTest<float>(tflite::BuiltinOperator_LOCAL_RESPONSE_NORMALIZATION, + ::tflite::TensorType_FLOAT32, + backends, + inputShape, + outputShape, + inputValues, + expectedOutputValues, + radius, + bias, + alpha, + beta); +} + } // anonymous namespace
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