commit 6aeb2170d18824135acef2d5c16fb93c4488c1fe
author Giorgio Arena <giorgio.arena@arm.com> Tue Dec 15 15:45:43 2020 +0000
committer Giorgio Arena <giorgio.arena@arm.com> Thu Dec 17 13:08:07 2020 +0000
tree b91c323eeae2ecccb8c42cd3c69f296298de7c4c
parent 72610dcf2d634c9c2919ad55245c5c91609e87eb

Fix fill() for FP data type in fixtures - Part 1

Resolves: COMPMID-4050

Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I182548bf4b944c499a7134ac005b137877e61baf
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4700
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

tests/validation/fixtures/WinogradConvolutionLayerFixture.h

diff --git a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
index 410c2a5..4e26a5e 100644
--- a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2019 Arm Limited.
+ * Copyright (c) 2018-2020 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -177,7 +177,7 @@
         {
             case DataType::F16:
             {
-                arm_compute::utils::uniform_real_distribution_fp16 distribution((half)min, (half)max);
+                arm_compute::utils::uniform_real_distribution_fp16 distribution{ half(min), half(max) };
                 library->fill(tensor, distribution, i);
                 break;
             }
@@ -499,9 +499,14 @@
         switch(tensor.data_type())
         {
             case DataType::F16:
+            {
+                arm_compute::utils::uniform_real_distribution_fp16 distribution{ half(min), half(max) };
+                library->fill(tensor, distribution, i);
+                break;
+            }
             case DataType::F32:
             {
-                std::uniform_real_distribution<> distribution(min, max);
+                std::uniform_real_distribution<float> distribution(min, max);
                 library->fill(tensor, distribution, i);
                 break;
             }