COMPMID-2796: Add support for QASYMM8_SIGNED in NEActivationLayer and NEPReluLayer
Change-Id: I089fd19a6beab7779d690bc9ace327f661c2753d
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2407
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
diff --git a/arm_compute/core/NEON/kernels/NEActivationLayerKernel.h b/arm_compute/core/NEON/kernels/NEActivationLayerKernel.h
index 9f2a085..82103b9 100644
--- a/arm_compute/core/NEON/kernels/NEActivationLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NEActivationLayerKernel.h
@@ -58,7 +58,7 @@
* @note If the output tensor is a nullptr, the activation function will be performed in-place
*
* @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
- * of the activation function. Data types supported: QASYMM8/QSYMM16/F16/F32.
+ * of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32.
* @param[out] output Destination tensor. Data type supported: same as @p input
* @param[in] activation_info Activation layer information.
*/
@@ -66,7 +66,7 @@
/** Static function to check if given info will lead to a valid configuration of @ref NEActivationLayerKernel
*
* @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result
- * of the activation function. Data types supported: QASYMM8/QSYMM16/F16/F32.
+ * of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32.
* @param[in] output Destination tensor info. Data type supported: same as @p input
* @param[in] act_info Activation layer information.
*
@@ -102,6 +102,12 @@
* @param[in] window Region on which to execute the kernel
*/
template <ActivationLayerInfo::ActivationFunction F, typename T>
+ typename std::enable_if<std::is_same<T, qasymm8_signed_t>::value, void>::type activation(const Window &window);
+ /** Function to apply an activation function on a tensor.
+ *
+ * @param[in] window Region on which to execute the kernel
+ */
+ template <ActivationLayerInfo::ActivationFunction F, typename T>
typename std::enable_if<std::is_same<T, qsymm16_t>::value, void>::type activation(const Window &window);
private: