IVGCVSW-4444 Adding Elu end to end test
* implemented activation layer end to end test
* adds support for different tolerances in layer tests
* added tests for Elu (Ref, Cl, Neon)
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I81e28cfb4456e815bae2fb31f5c345134ff2432f
diff --git a/src/backends/backendsCommon/test/EndToEndTestImpl.hpp b/src/backends/backendsCommon/test/EndToEndTestImpl.hpp
index 4221f62..a4d0d50 100644
--- a/src/backends/backendsCommon/test/EndToEndTestImpl.hpp
+++ b/src/backends/backendsCommon/test/EndToEndTestImpl.hpp
@@ -107,7 +107,7 @@
// Utility template for comparing tensor elements
template<DataType ArmnnType, typename T = ResolveType<ArmnnType>>
-bool Compare(T a, T b)
+bool Compare(T a, T b, float tolerance = 0.000001f)
{
if (ArmnnType == DataType::Boolean)
{
@@ -119,7 +119,6 @@
// NOTE: All other types can be cast to float and compared with
// a certain level of tolerance
- constexpr float tolerance = 0.000001f;
return std::fabs(static_cast<float>(a) - static_cast<float>(b)) <= tolerance;
}
@@ -143,7 +142,8 @@
void EndToEndLayerTestImpl(INetworkPtr network,
const std::map<int, std::vector<TInput>>& inputTensorData,
const std::map<int, std::vector<TOutput>>& expectedOutputData,
- std::vector<BackendId> backends)
+ std::vector<BackendId> backends,
+ float tolerance = 0.000001f)
{
// Create runtime in which test will run
IRuntime::CreationOptions options;
@@ -184,7 +184,7 @@
std::vector<TOutput> out = outputStorage.at(it.first);
for (unsigned int i = 0; i < out.size(); ++i)
{
- BOOST_CHECK(Compare<ArmnnOType>(it.second[i], out[i]) == true);
+ BOOST_CHECK(Compare<ArmnnOType>(it.second[i], out[i], tolerance) == true);
}
}
}