From 6111316eb609bd71589b963cf6fc56b18ba3d241 Mon Sep 17 00:00:00 2001
From: Sadik Armagan <sadik.armagan@arm.com>
Date: Thu, 25 Jul 2019 09:09:40 +0100
Subject: IVGCVSW-3530 Fix DynamicOutput Tests for Android Q NeuralNetworks 1.0
 & 1.1

 * Fixed for failing Conv2d, DepthwiseConv2d, and Activation tests on Hal 1.0 and 1.1 in Q

Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Signed-off-by: Aron Virginas-Tar <aron.virginas-tar@arm.com>
Change-Id: I435338b90b6c501320083f2fd9372e3a4ac3c32c
---
 1.0/HalPolicy.cpp | 29 ++++-------------------------
 1 file changed, 4 insertions(+), 25 deletions(-)

(limited to '1.0/HalPolicy.cpp')

diff --git a/1.0/HalPolicy.cpp b/1.0/HalPolicy.cpp
index b9200f14..7a54e74f 100644
--- a/1.0/HalPolicy.cpp
+++ b/1.0/HalPolicy.cpp
@@ -1142,34 +1142,19 @@ bool HalPolicy::ConvertMul(const Operation& operation, const Model& model, Conve
 bool HalPolicy::ConvertReLu(const Operation& operation, const Model& model, ConversionData& data)
 {
     ALOGV("hal_1_0::HalPolicy::ConvertReLu()");
-
-    armnn::ActivationDescriptor desc;
-    desc.m_Function = armnn::ActivationFunction::ReLu;
-
-    return ConvertToActivation<hal_1_0::HalPolicy>(operation, __func__, desc, model, data);
+    return ::ConvertReLu<hal_1_0::HalPolicy>(operation, model, data);
 }
 
 bool HalPolicy::ConvertReLu1(const Operation& operation, const Model& model, ConversionData& data)
 {
     ALOGV("hal_1_0::HalPolicy::ConvertReLu1()");
-
-    armnn::ActivationDescriptor desc;
-    desc.m_Function = armnn::ActivationFunction::BoundedReLu;
-    desc.m_A        = 1.0f;
-    desc.m_B        = -1.0f;
-
-    return ConvertToActivation<hal_1_0::HalPolicy>(operation, __func__, desc, model, data);
+    return ::ConvertReLu1<hal_1_0::HalPolicy>(operation, model, data);
 }
 
 bool HalPolicy::ConvertReLu6(const Operation& operation, const Model& model, ConversionData& data)
 {
     ALOGV("hal_1_0::HalPolicy::ConvertReLu6()");
-
-    armnn::ActivationDescriptor desc;
-    desc.m_Function = armnn::ActivationFunction::BoundedReLu;
-    desc.m_A        = 6.0f;
-
-    return ConvertToActivation<hal_1_0::HalPolicy>(operation, __func__, desc, model, data);
+    return ::ConvertReLu6<hal_1_0::HalPolicy>(operation, model, data);
 }
 
 bool HalPolicy::ConvertSoftmax(const Operation& operation, const Model& model, ConversionData& data)
@@ -1285,13 +1270,7 @@ bool HalPolicy::ConvertSpaceToDepth(const Operation& operation, const Model& mod
 bool HalPolicy::ConvertTanH(const Operation& operation, const Model& model, ConversionData& data)
 {
     ALOGV("hal_1_0::HalPolicy::ConvertTanH()");
-
-    armnn::ActivationDescriptor desc;
-    desc.m_Function = armnn::ActivationFunction::TanH;
-    desc.m_A = 1.0f; // android nn does not support tanH parameters
-    desc.m_B = 1.0f; // set to 1.0f for unity scaling
-
-    return ConvertToActivation<hal_1_0::HalPolicy>(operation, __func__, desc, model, data);
+    return ::ConvertTanH<hal_1_0::HalPolicy>(operation, model, data);
 }
 
 bool HalPolicy::ConvertReshape(const Operation& operation, const Model& model, ConversionData& data)
-- 
cgit v1.2.1