From aa18c0a2925e30fa37f7455351bce217a7faa944 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Tom=C3=A1=C5=A1=20Oberhuber?= <oberhuber.tomas@gmail.com>
Date: Sun, 14 Apr 2019 23:01:09 +0200
Subject: [PATCH] Changing numeric limits -max to lowest.
---
src/TNL/Containers/Algorithms/CommonVectorOperations.hpp | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/src/TNL/Containers/Algorithms/CommonVectorOperations.hpp b/src/TNL/Containers/Algorithms/CommonVectorOperations.hpp
index 1dc43b2c72..5430f6eacd 100644
--- a/src/TNL/Containers/Algorithms/CommonVectorOperations.hpp
+++ b/src/TNL/Containers/Algorithms/CommonVectorOperations.hpp
@@ -32,7 +32,7 @@ getVectorMax( const Vector& v )
auto fetch = [=] __cuda_callable__ ( IndexType i ) -> ResultType { return data[ i ]; };
auto reduction = [=] __cuda_callable__ ( ResultType& a, const ResultType& b ) { a = TNL::max( a, b ); };
auto volatileReduction = [=] __cuda_callable__ ( volatile ResultType& a, volatile ResultType& b ) { a = TNL::max( a, b ); };
- return Reduction< DeviceType >::reduce( v.getSize(), reduction, volatileReduction, fetch, -std::numeric_limits< ResultType >::max() );
+ return Reduction< DeviceType >::reduce( v.getSize(), reduction, volatileReduction, fetch, std::numeric_limits< ResultType >::lowest() );
}
template< typename Device >
@@ -68,7 +68,7 @@ getVectorAbsMax( const Vector& v )
auto fetch = [=] __cuda_callable__ ( IndexType i ) { return TNL::abs( data[ i ] ); };
auto reduction = [=] __cuda_callable__ ( ResultType& a, const ResultType& b ) { a = TNL::max( a, b ); };
auto volatileReduction = [=] __cuda_callable__ ( volatile ResultType& a, volatile ResultType& b ) { a = TNL::max( a, b ); };
- return Reduction< DeviceType >::reduce( v.getSize(), reduction, volatileReduction, fetch, -std::numeric_limits< ResultType >::max() );
+ return Reduction< DeviceType >::reduce( v.getSize(), reduction, volatileReduction, fetch, std::numeric_limits< ResultType >::lowest() );
}
template< typename Device >
@@ -189,7 +189,7 @@ getVectorDifferenceMax( const Vector1& v1,
auto fetch = [=] __cuda_callable__ ( IndexType i ) { return data1[ i ] - data2[ i ]; };
auto reduction = [=] __cuda_callable__ ( ResultType& a, const ResultType& b ) { a = TNL::max( a, b ); };
auto volatileReduction = [=] __cuda_callable__ ( volatile ResultType& a, volatile ResultType& b ) { a = TNL::max( a, b ); };
- return Reduction< DeviceType >::reduce( v1.getSize(), reduction, volatileReduction, fetch, -std::numeric_limits< ResultType >::max() );
+ return Reduction< DeviceType >::reduce( v1.getSize(), reduction, volatileReduction, fetch, std::numeric_limits< ResultType >::lowest() );
}
template< typename Device >
@@ -231,7 +231,7 @@ getVectorDifferenceAbsMax( const Vector1& v1,
auto fetch = [=] __cuda_callable__ ( IndexType i ) { return TNL::abs( data1[ i ] - data2[ i ] ); };
auto reduction = [=] __cuda_callable__ ( ResultType& a, const ResultType& b ) { a = TNL::max( a, b ); };
auto volatileReduction = [=] __cuda_callable__ ( volatile ResultType& a, volatile ResultType& b ) { a = TNL::max( a, b ); };
- return Reduction< DeviceType >::reduce( v1.getSize(), reduction, volatileReduction, fetch, -std::numeric_limits< ResultType >::max() );
+ return Reduction< DeviceType >::reduce( v1.getSize(), reduction, volatileReduction, fetch, std::numeric_limits< ResultType >::lowest() );
}
template< typename Device >
--
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