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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-04-11 17:20:17 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-04-11 17:20:17 -0700
commitd6e596174d09446236b3f398d8ec39148c638ed9 (patch)
treeccb4116b05dc11d7931bac0129fd1394abe1e0b0 /Eigen/src/Core/arch/CUDA/TypeCasting.h
parent3ca1ae2bb761d7738bcdad885639f422a6b7c914 (diff)
parent833efb39bfe4957934982112fe435ab30a0c3b4f (diff)
Pull latest updates from upstream
Diffstat (limited to 'Eigen/src/Core/arch/CUDA/TypeCasting.h')
-rw-r--r--Eigen/src/Core/arch/CUDA/TypeCasting.h112
1 files changed, 112 insertions, 0 deletions
diff --git a/Eigen/src/Core/arch/CUDA/TypeCasting.h b/Eigen/src/Core/arch/CUDA/TypeCasting.h
new file mode 100644
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+++ b/Eigen/src/Core/arch/CUDA/TypeCasting.h
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TYPE_CASTING_CUDA_H
+#define EIGEN_TYPE_CASTING_CUDA_H
+
+namespace Eigen {
+
+namespace internal {
+
+#if defined(EIGEN_HAS_CUDA_FP16)
+
+template<>
+struct scalar_cast_op<float, half> {
+ EIGEN_EMPTY_STRUCT_CTOR(scalar_cast_op)
+ typedef half result_type;
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half operator() (const float& a) const {
+ #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
+ return __float2half(a);
+ #else
+ return half(a);
+ #endif
+ }
+};
+
+template<>
+struct functor_traits<scalar_cast_op<float, half> >
+{ enum { Cost = NumTraits<float>::AddCost, PacketAccess = false }; };
+
+
+template<>
+struct scalar_cast_op<int, half> {
+ EIGEN_EMPTY_STRUCT_CTOR(scalar_cast_op)
+ typedef half result_type;
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half operator() (const int& a) const {
+ #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
+ return __float2half(static_cast<float>(a));
+ #else
+ return half(static_cast<float>(a));
+ #endif
+ }
+};
+
+template<>
+struct functor_traits<scalar_cast_op<int, half> >
+{ enum { Cost = NumTraits<float>::AddCost, PacketAccess = false }; };
+
+
+template<>
+struct scalar_cast_op<half, float> {
+ EIGEN_EMPTY_STRUCT_CTOR(scalar_cast_op)
+ typedef float result_type;
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float operator() (const half& a) const {
+ #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
+ return __half2float(a);
+ #else
+ return static_cast<float>(a);
+ #endif
+ }
+};
+
+template<>
+struct functor_traits<scalar_cast_op<half, float> >
+{ enum { Cost = NumTraits<float>::AddCost, PacketAccess = false }; };
+
+
+
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530
+
+template <>
+struct type_casting_traits<half, float> {
+ enum {
+ VectorizedCast = 1,
+ SrcCoeffRatio = 2,
+ TgtCoeffRatio = 1
+ };
+};
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pcast<half2, float4>(const half2& a, const half2& b) {
+ float2 r1 = __half22float2(a);
+ float2 r2 = __half22float2(b);
+ return make_float4(r1.x, r1.y, r2.x, r2.y);
+}
+
+template <>
+struct type_casting_traits<float, half> {
+ enum {
+ VectorizedCast = 1,
+ SrcCoeffRatio = 1,
+ TgtCoeffRatio = 2
+ };
+};
+
+template<> EIGEN_STRONG_INLINE half2 pcast<float4, half2>(const float4& a) {
+ // Simply discard the second half of the input
+ return __float22half2_rn(make_float2(a.x, a.y));
+}
+
+#endif
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TYPE_CASTING_CUDA_H