arm_compute v18.11
diff --git a/tests/validation/reference/ActivationLayer.cpp b/tests/validation/reference/ActivationLayer.cpp
index 9455eff..9887e42 100644
--- a/tests/validation/reference/ActivationLayer.cpp
+++ b/tests/validation/reference/ActivationLayer.cpp
@@ -34,7 +34,7 @@
{
namespace reference
{
-template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
+template <typename T>
SimpleTensor<T> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info)
{
// Create reference
@@ -46,46 +46,7 @@
for(int i = 0; i < src.num_elements(); ++i)
{
- T x = src[i];
-
- switch(info.activation())
- {
- case ActivationLayerInfo::ActivationFunction::ABS:
- dst[i] = std::abs(x);
- break;
- case ActivationLayerInfo::ActivationFunction::LINEAR:
- dst[i] = a * x + b;
- break;
- case ActivationLayerInfo::ActivationFunction::LOGISTIC:
- dst[i] = static_cast<T>(1) / (static_cast<T>(1) + std::exp(-x));
- break;
- case ActivationLayerInfo::ActivationFunction::RELU:
- dst[i] = std::max<T>(static_cast<T>(0), x);
- break;
- case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU:
- dst[i] = std::min<T>(a, std::max(static_cast<T>(0), x));
- break;
- case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU:
- dst[i] = std::min<T>(a, std::max<T>(b, x));
- break;
- case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
- dst[i] = (x > 0) ? x : a * x;
- break;
- case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
- dst[i] = std::log(static_cast<T>(1) + std::exp(x));
- break;
- case ActivationLayerInfo::ActivationFunction::SQRT:
- dst[i] = std::sqrt(x);
- break;
- case ActivationLayerInfo::ActivationFunction::SQUARE:
- dst[i] = x * x;
- break;
- case ActivationLayerInfo::ActivationFunction::TANH:
- dst[i] = a * std::tanh(b * x);
- break;
- default:
- ARM_COMPUTE_ERROR("Unsupported activation function");
- }
+ dst[i] = activate_float<T>(src[i], a, b, info.activation());
}
return dst;