From a25d16c86f0d870408bc8b941aa755093417b0f0 Mon Sep 17 00:00:00 2001
From: Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com>
Date: Fri, 16 Nov 2018 11:33:12 +0000
Subject: COMPMID-1266 : Add support for FP16 in CLWinogradConvolutionLayer:
 5x5 kernels

Introduced F32 accumulation for F16 winograd gemm and output transform
WinogradConvolution will be available for F16 only if fast math flag is enabled

Change-Id: I215593c205236a0f9669218437bb40b184ec6a4f
---
 tests/validation/NEON/ConvolutionLayer.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'tests/validation/NEON/ConvolutionLayer.cpp')

diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp
index d216d9db86..d8710ee91b 100644
--- a/tests/validation/NEON/ConvolutionLayer.cpp
+++ b/tests/validation/NEON/ConvolutionLayer.cpp
@@ -120,7 +120,7 @@ template <typename T>
 using NEWinogradConvolutionLayerFixture = WinogradConvolutionLayerFastMathValidationFixture<Tensor, Accessor, NEWinogradConvolutionLayer, T>;
 
 template <typename T>
-using NEWinogradConvolutionLayerNoBiasFixture = WinogradConvolutionLayerFastMathValidationFixture<Tensor, Accessor, NEWinogradConvolutionLayer, T, false>;
+using NEWinogradConvolutionLayerNoBiasFixture = WinogradConvolutionLayerFastMathValidationFixture<Tensor, Accessor, NEWinogradConvolutionLayer, T, T, false>;
 
 TEST_SUITE(FP32)
 
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