From a14817a7eee8b8cb7e5ccb6186ca01c23eec2629 Mon Sep 17 00:00:00 2001
From: Sheri Zhang <sheri.zhang@arm.com>
Date: Wed, 26 Feb 2020 10:30:15 +0000
Subject: COMPMID-2756: Add support for QASYMM8_SIGNED in CLDeconvolutionLayer

Tests cover for CLGEMMDeconvolution and CLDirectDeconvolution.

Change-Id: I9a26d0adef1d177ffad39a8992a2dc65327f07e5
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2853
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
---
 tests/validation/fixtures/DeconvolutionLayerFixture.h | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

(limited to 'tests/validation/fixtures')

diff --git a/tests/validation/fixtures/DeconvolutionLayerFixture.h b/tests/validation/fixtures/DeconvolutionLayerFixture.h
index b819e651ff..b9a478b1a9 100644
--- a/tests/validation/fixtures/DeconvolutionLayerFixture.h
+++ b/tests/validation/fixtures/DeconvolutionLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -46,7 +46,7 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
 class DeconvolutionLayerFixtureBase : 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<T, uint8_t>::value || std::is_same<T, int8_t>::value, int32_t, T >::type;
 
 public:
     template <typename...>
@@ -76,6 +76,13 @@ protected:
                 library->fill(tensor, distribution, i);
                 break;
             }
+            case DataType::QASYMM8_SIGNED:
+            {
+                std::pair<int, int> bounds = get_quantized_qasymm8_signed_bounds(tensor.quantization_info(), -1.0f, 1.0f);
+                std::uniform_int_distribution<int8_t> distribution(bounds.first, bounds.second);
+                library->fill(tensor, distribution, i);
+                break;
+            }
             case DataType::S32:
             {
                 std::uniform_int_distribution<int32_t> distribution(-100, 100);
-- 
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