commit 9c700378f2227cb9d51455ed4a5086daaac5532a
author Michele Di Giorgio <michele.digiorgio@arm.com> Wed Jan 08 11:33:44 2020 +0000
committer Michele Di Giorgio <michele.digiorgio@arm.com> Tue Jan 14 10:55:58 2020 +0000
tree 53eb4acf5a9226e941e332b93db8ef260fb2d42b
parent ab709a0ea0f7f5c8e02c315afffc300e09c783a8

COMPMID-2769: Add support for QASYMM8_SIGNED in NEFullyConnectedLayer

Change-Id: I4c35c522375ae5a5de78716e079ebb9ffad15956
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2581
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

tests/validation/fixtures/FullyConnectedLayerFixture.h

diff --git a/tests/validation/fixtures/FullyConnectedLayerFixture.h b/tests/validation/fixtures/FullyConnectedLayerFixture.h
index 0449d80..ff6ac17 100644
--- a/tests/validation/fixtures/FullyConnectedLayerFixture.h
+++ b/tests/validation/fixtures/FullyConnectedLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -49,7 +49,7 @@
 class FullyConnectedLayerValidationGenericFixture : public framework::Fixture
 {
 public:
-    using TBias = typename std::conditional<std::is_same<typename std::decay<T>::type, uint8_t>::value, int32_t, T>::type;
+    using TBias = typename std::conditional < std::is_same<typename std::decay<T>::type, uint8_t>::value || std::is_same<typename std::decay<T>::type, int8_t>::value, int32_t, T >::type;
 
 public:
     template <typename...>
@@ -71,11 +71,16 @@
     template <typename U>
     void fill(U &&tensor, int i)
     {
-        if(is_data_type_quantized_asymmetric(_data_type))
+        if(_data_type == DataType::QASYMM8)
         {
             std::uniform_int_distribution<uint8_t> distribution(0, 30);
             library->fill(tensor, distribution, i);
         }
+        else if(_data_type == DataType::QASYMM8_SIGNED)
+        {
+            std::uniform_int_distribution<int8_t> distribution(-15, 15);
+            library->fill(tensor, distribution, i);
+        }
         else if(_data_type == DataType::S32)
         {
             std::uniform_int_distribution<int32_t> distribution(-50, 50);