IVGCVSW-2845: Add TfLite Parser support for TanH activation layer
* Added ParseTanH in TfLiteParser
* Added testcase for parsing TanH activation in Activations.cpp
* Added new supported TanH operator in TensorflowLiteSupport.md
Signed-off-by: Nina Drozd <nina.drozd@arm.com>
Change-Id: Ie60f38994d76b077f86828c21c57381bdeeaeb5a
diff --git a/src/armnnTfLiteParser/TensorFlowLiteSupport.md b/src/armnnTfLiteParser/TensorFlowLiteSupport.md
index afbe2ce..821aecc 100644
--- a/src/armnnTfLiteParser/TensorFlowLiteSupport.md
+++ b/src/armnnTfLiteParser/TensorFlowLiteSupport.md
@@ -56,6 +56,8 @@
* SUB
+* TANH
+
## Custom Operator
* TFLite_Detection_PostProcess
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index c00c218..5c5618b 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -465,6 +465,7 @@
m_ParserFunctions[tflite::BuiltinOperator_MEAN] = &TfLiteParser::ParseMean;
m_ParserFunctions[tflite::BuiltinOperator_PAD] = &TfLiteParser::ParsePad;
m_ParserFunctions[tflite::BuiltinOperator_SPLIT] = &TfLiteParser::ParseSplit;
+ m_ParserFunctions[tflite::BuiltinOperator_TANH] = &TfLiteParser::ParseTanH;
}
void TfLiteParser::ResetParser()
@@ -1478,6 +1479,11 @@
ParseActivation(subgraphIndex,operatorIndex,ActivationFunction::Sigmoid);
}
+void TfLiteParser::ParseTanH(size_t subgraphIndex, size_t operatorIndex)
+{
+ ParseActivation(subgraphIndex,operatorIndex,ActivationFunction::TanH);
+}
+
void TfLiteParser::ParseActivation(size_t subgraphIndex, size_t operatorIndex, ActivationFunction activationType)
{
@@ -1514,6 +1520,13 @@
layerName += str(boost::format("SIGMOID:%1%:%2%") % subgraphIndex % operatorIndex);
break;
}
+ case ActivationFunction::TanH:
+ {
+ layerName += str(boost::format("TANH:%1%:%2%") % subgraphIndex % operatorIndex);
+ activationDesc.m_A = 1.0f;
+ activationDesc.m_B = 1.0f;
+ break;
+ }
default:
{
throw ParseException(
diff --git a/src/armnnTfLiteParser/TfLiteParser.hpp b/src/armnnTfLiteParser/TfLiteParser.hpp
index e166dd5..a3ef22f 100644
--- a/src/armnnTfLiteParser/TfLiteParser.hpp
+++ b/src/armnnTfLiteParser/TfLiteParser.hpp
@@ -117,6 +117,7 @@
void ParsePad(size_t subgraphIndex, size_t operatorIndex);
void ParsePool(size_t subgraphIndex, size_t operatorIndex, armnn::PoolingAlgorithm algorithm);
void ParseSplit(size_t subgraphIndex, size_t operatorIndex);
+ void ParseTanH(size_t subgraphIndex, size_t operatorIndex);
void RegisterProducerOfTensor(size_t subgraphIndex, size_t tensorIndex, armnn::IOutputSlot* slot);
void RegisterConsumerOfTensor(size_t subgraphIndex, size_t tensorIndex, armnn::IInputSlot* slot);
diff --git a/src/armnnTfLiteParser/test/Activations.cpp b/src/armnnTfLiteParser/test/Activations.cpp
index dac16ce..e8153a2 100644
--- a/src/armnnTfLiteParser/test/Activations.cpp
+++ b/src/armnnTfLiteParser/test/Activations.cpp
@@ -93,4 +93,16 @@
RunTest<2, armnn::DataType::Float32>(0, { -1.0f, -0.5f, 4.0f, -4.0f, 0.0f, 0.5f, -0.75f },
{0.268941f, 0.377541f, 0.982013f, 0.0179862f, 0.5f, 0.622459f, 0.320821f });
}
+
+struct TanHFixture : ActivationFixture
+{
+ TanHFixture() : ActivationFixture("TANH", "FLOAT32") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseTanH, TanHFixture)
+{
+ RunTest<2, armnn::DataType::Float32>(0,
+ { -0.1f, -0.2f, -0.3f, -0.4f, 0.1f, 0.2f, 0.3f },
+ { -0.09966799f, -0.19737528f, -0.29131261f, -0.379949f, 0.09966799f, 0.19737528f, 0.29131261f });
+}
BOOST_AUTO_TEST_SUITE_END()