From f2cde9b29deee6423ea6fe9a1a9afc9ef61d2663 Mon Sep 17 00:00:00 2001
From: Gian Marco Iodice <gianmarco.iodice@arm.com>
Date: Thu, 23 Aug 2018 15:29:16 +0100
Subject: COMPMID-1534 - Fix NENormalizationLayer for FP16

Implemented vinvq_f16 with fp32 data type in order to avoid accuracy issue.

Change-Id: Ibfffd12e4a941c1388a982fc7bbe3e1832351feb
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145416
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
---
 tests/validation/fixtures/NormalizationLayerFixture.h | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

(limited to 'tests/validation/fixtures')

diff --git a/tests/validation/fixtures/NormalizationLayerFixture.h b/tests/validation/fixtures/NormalizationLayerFixture.h
index f4f9c64944..318b77e1a7 100644
--- a/tests/validation/fixtures/NormalizationLayerFixture.h
+++ b/tests/validation/fixtures/NormalizationLayerFixture.h
@@ -59,7 +59,8 @@ protected:
     template <typename U>
     void fill(U &&tensor)
     {
-        library->fill_tensor_uniform(tensor, 0);
+        std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
+        library->fill(tensor, distribution, 0);
     }
 
     TensorType compute_target(const TensorShape &shape, NormalizationLayerInfo info, DataType data_type)
-- 
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