From 2213d4b334567d0cb7f283090d42b5fb1b70f66b Mon Sep 17 00:00:00 2001
From: Gian Marco Iodice <gianmarco.iodice@arm.com>
Date: Fri, 27 Apr 2018 10:39:06 +0100
Subject: COMPMID-1096 - Add fast_math flag to CLConvolutionLayer COMPMID-1103
 - CLWinogradConvolutionLayer mismatches

Change-Id: Iceaa9482a1790ec39d2720c220261aaea8043978
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129398
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
---
 tests/validation/CL/Winograd.cpp | 24 +++++++++++++++++++++++-
 1 file changed, 23 insertions(+), 1 deletion(-)

(limited to 'tests/validation/CL/Winograd.cpp')

diff --git a/tests/validation/CL/Winograd.cpp b/tests/validation/CL/Winograd.cpp
index 30d8d751af..d892c9f77f 100644
--- a/tests/validation/CL/Winograd.cpp
+++ b/tests/validation/CL/Winograd.cpp
@@ -51,7 +51,8 @@ namespace validation
 {
 namespace
 {
-constexpr AbsoluteTolerance<float> tolerance_f32(0.001f);
+constexpr AbsoluteTolerance<float> tolerance_f32(0.0001f);
+constexpr AbsoluteTolerance<float> tolerance_fast_math_f32(0.1f);
 } // namespace
 
 using namespace arm_compute::misc::shape_calculator;
@@ -379,6 +380,27 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFixture, framework::D
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_f32);
 }
+TEST_SUITE(EnableFastMath)
+using CLWinogradConvolutionLayerFastMathFixture = WinogradConvolutionLayerFastMathValidationFixture<CLTensor, CLAccessor, CLWinogradConvolutionLayer, float>;
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT,
+                       combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), datasets::SmallWinogradConvolutionLayer5x5Dataset()),
+                                       framework::dataset::make("DataType", { DataType::F32 })),
+                               framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_fast_math_f32);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY,
+                       combine(combine(framework::dataset::concat(datasets::LargeWinogradConvolutionLayer3x3Dataset(), datasets::LargeWinogradConvolutionLayer5x5Dataset()),
+                                       framework::dataset::make("DataType", { DataType::F32 })),
+                               framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_fast_math_f32);
+}
+
+TEST_SUITE_END() // EnableFastMath
 TEST_SUITE_END() // ConvolutionLayer
 
 TEST_SUITE_END() // Winograd
-- 
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