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-rw-r--r--CMakeLists.txt4
-rw-r--r--Eigen/Core10
-rw-r--r--Eigen/src/Core/Block.h16
-rw-r--r--Eigen/src/Core/CwiseNullaryOp.h2
-rw-r--r--Eigen/src/Core/PacketMath.h93
-rw-r--r--Eigen/src/Core/Product.h6
-rwxr-xr-xEigen/src/Core/Triangular.h2
-rw-r--r--bench/benchmark.cpp2
-rw-r--r--test/CMakeLists.txt2
-rw-r--r--test/determinant.cpp3
-rw-r--r--test/main.h2
11 files changed, 123 insertions, 19 deletions
diff --git a/CMakeLists.txt b/CMakeLists.txt
index ccb234a64..95a8a2311 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -16,6 +16,10 @@ IF(CMAKE_COMPILER_IS_GNUCXX)
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse2")
MESSAGE("Enabling SSE2 in tests/examples")
ENDIF(TEST_SSE2)
+ IF(TEST_ALTIVEC)
+ SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -maltivec -mabi=altivec")
+ MESSAGE("Enabling AltiVec in tests/examples")
+ ENDIF(TEST_ALTIVEC)
ENDIF(CMAKE_SYSTEM_NAME MATCHES Linux)
ENDIF(CMAKE_COMPILER_IS_GNUCXX)
diff --git a/Eigen/Core b/Eigen/Core
index 02b2132e2..4d708b9fb 100644
--- a/Eigen/Core
+++ b/Eigen/Core
@@ -8,14 +8,22 @@
#include <emmintrin.h>
#include <xmmintrin.h>
#endif
+#ifdef __ALTIVEC__ // There are zero chances of both __SSE2__ AND __ALTIVEC__ been defined
+#define EIGEN_VECTORIZE
+#define EIGEN_VECTORIZE_ALTIVEC
+#include <altivec.h>
+// We _need_ to #undef bool as it's defined in <altivec.h> for some reason.
+#undef bool
+#endif
#endif
+#include <cstdlib>
+
#ifdef EIGEN_VECTORIZE
// it seems we cannot assume posix_memalign is defined in the stdlib header
extern "C" int posix_memalign (void **, size_t, size_t) throw ();
#endif
-#include <cstdlib>
#include <cmath>
#include <complex>
#include <cassert>
diff --git a/Eigen/src/Core/Block.h b/Eigen/src/Core/Block.h
index 3b777a153..6c00e0ba8 100644
--- a/Eigen/src/Core/Block.h
+++ b/Eigen/src/Core/Block.h
@@ -390,6 +390,8 @@ Block<Derived> MatrixBase<Derived>
{
switch(type)
{
+ default:
+ ei_assert(false && "Bad corner type.");
case TopLeft:
return Block<Derived>(derived(), 0, 0, cRows, cCols);
case TopRight:
@@ -398,8 +400,6 @@ Block<Derived> MatrixBase<Derived>
return Block<Derived>(derived(), rows() - cRows, 0, cRows, cCols);
case BottomRight:
return Block<Derived>(derived(), rows() - cRows, cols() - cCols, cRows, cCols);
- default:
- ei_assert(false && "Bad corner type.");
}
}
@@ -410,6 +410,8 @@ const Block<Derived> MatrixBase<Derived>
{
switch(type)
{
+ default:
+ ei_assert(false && "Bad corner type.");
case TopLeft:
return Block<Derived>(derived(), 0, 0, cRows, cCols);
case TopRight:
@@ -418,8 +420,6 @@ const Block<Derived> MatrixBase<Derived>
return Block<Derived>(derived(), rows() - cRows, 0, cRows, cCols);
case BottomRight:
return Block<Derived>(derived(), rows() - cRows, cols() - cCols, cRows, cCols);
- default:
- ei_assert(false && "Bad corner type.");
}
}
@@ -442,6 +442,8 @@ Block<Derived, CRows, CCols> MatrixBase<Derived>
{
switch(type)
{
+ default:
+ ei_assert(false && "Bad corner type.");
case TopLeft:
return Block<Derived, CRows, CCols>(derived(), 0, 0);
case TopRight:
@@ -450,8 +452,6 @@ Block<Derived, CRows, CCols> MatrixBase<Derived>
return Block<Derived, CRows, CCols>(derived(), rows() - CRows, 0);
case BottomRight:
return Block<Derived, CRows, CCols>(derived(), rows() - CRows, cols() - CCols);
- default:
- ei_assert(false && "Bad corner type.");
}
}
@@ -463,6 +463,8 @@ const Block<Derived, CRows, CCols> MatrixBase<Derived>
{
switch(type)
{
+ default:
+ ei_assert(false && "Bad corner type.");
case TopLeft:
return Block<Derived, CRows, CCols>(derived(), 0, 0);
case TopRight:
@@ -471,8 +473,6 @@ const Block<Derived, CRows, CCols> MatrixBase<Derived>
return Block<Derived, CRows, CCols>(derived(), rows() - CRows, 0);
case BottomRight:
return Block<Derived, CRows, CCols>(derived(), rows() - CRows, cols() - CCols);
- default:
- ei_assert(false && "Bad corner type.");
}
}
diff --git a/Eigen/src/Core/CwiseNullaryOp.h b/Eigen/src/Core/CwiseNullaryOp.h
index 8123fe104..e603280bf 100644
--- a/Eigen/src/Core/CwiseNullaryOp.h
+++ b/Eigen/src/Core/CwiseNullaryOp.h
@@ -406,7 +406,7 @@ template<typename Derived>
bool MatrixBase<Derived>::isOnes
(typename NumTraits<Scalar>::Real prec) const
{
- return isEqualToConstant(Scalar(1));
+ return isEqualToConstant(Scalar(1), prec);
}
/** Sets all coefficients in this expression to one.
diff --git a/Eigen/src/Core/PacketMath.h b/Eigen/src/Core/PacketMath.h
index 5a5f15dad..140dcdde5 100644
--- a/Eigen/src/Core/PacketMath.h
+++ b/Eigen/src/Core/PacketMath.h
@@ -25,6 +25,10 @@
#ifndef EIGEN_PACKET_MATH_H
#define EIGEN_PACKET_MATH_H
+#ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 16
+#endif
+
// Default implementation for types not supported by the vectorization.
// In practice these functions are provided to make easier the writting
// of generic vectorized code. However, at runtime, they should never be
@@ -53,6 +57,11 @@ template <typename Scalar> inline Scalar ei_pfirst(const Scalar& a) { return a;
#ifdef EIGEN_VECTORIZE_SSE
+#ifdef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#undef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 16
+#endif
+
template<> struct ei_packet_traits<float> { typedef __m128 type; enum {size=4}; };
template<> struct ei_packet_traits<double> { typedef __m128d type; enum {size=2}; };
template<> struct ei_packet_traits<int> { typedef __m128i type; enum {size=4}; };
@@ -116,7 +125,89 @@ inline float ei_pfirst(const __m128& a) { return _mm_cvtss_f32(a); }
inline double ei_pfirst(const __m128d& a) { return _mm_cvtsd_f64(a); }
inline int ei_pfirst(const __m128i& a) { return _mm_cvtsi128_si32(a); }
-#endif // EIGEN_VECTORIZE_SSE
+#elif defined(EIGEN_VECTORIZE_ALTIVEC)
+
+#ifdef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#undef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 4
+#endif
+
+static const vector int v0i = vec_splat_u32(0);
+static const vector int v16i_ = vec_splat_u32(-16);
+static const vector float v0f = (vector float) v0i;
+
+template<> struct ei_packet_traits<float> { typedef vector float type; enum {size=4}; };
+template<> struct ei_packet_traits<int> { typedef vector int type; enum {size=4}; };
+
+inline vector float ei_padd(const vector float a, const vector float b) { return vec_add(a,b); }
+inline vector int ei_padd(const vector int a, const vector int b) { return vec_add(a,b); }
+
+inline vector float ei_psub(const vector float a, const vector float b) { return vec_sub(a,b); }
+inline vector int ei_psub(const vector int a, const vector int b) { return vec_sub(a,b); }
+
+inline vector float ei_pmul(const vector float a, const vector float b) { return vec_madd(a,b, v0f); }
+inline vector int ei_pmul(const vector int a, const vector int b)
+{
+ // Taken from http://
+
+ //Set up constants
+ vector int bswap, lowProduct, highProduct;
+
+ //Do real work
+ bswap = vec_rl( (vector unsigned int)b, (vector unsigned int)v16i_ );
+ lowProduct = vec_mulo( (vector short)a,(vector short)b );
+ highProduct = vec_msum((vector short)a,(vector short)bswap, v0i);
+ highProduct = vec_sl( (vector unsigned int)highProduct, (vector unsigned int)v16i_ );
+ return vec_add( lowProduct, highProduct );
+}
+
+inline vector float ei_pmadd(const vector float a, const vector float b, const vector float c) { return vec_madd(a, b, c); }
+
+inline vector float ei_pmin(const vector float a, const vector float b) { return vec_min(a,b); }
+inline vector int ei_pmin(const vector int a, const vector int b) { return vec_min(a,b); }
+
+inline vector float ei_pmax(const vector float a, const vector float b) { return vec_max(a,b); }
+inline vector int ei_pmax(const vector int a, const vector int b) { return vec_max(a,b); }
+
+inline vector float ei_pload(const float* from) { return vec_ld(0, from); }
+inline vector int ei_pload(const int* from) { return vec_ld(0, from); }
+
+inline vector float ei_pset1(const float& from)
+{
+ static float __attribute__(aligned(16)) af[4];
+ af[0] = from;
+ vector float vc = vec_ld(0, af);
+ vc = vec_splat(vc, 0);
+ return vc;
+}
+
+inline vector int ei_pset1(const int& from)
+{
+ static int __attribute__(aligned(16)) ai[4];
+ ai[0] = from;
+ vector int vc = vec_ld(0, ai);
+ vc = vec_splat(vc, 0);
+ return vc;
+}
+
+inline void ei_pstore(float* to, const vector float from) { vec_st(from, 0, to); }
+inline void ei_pstore(int* to, const vector int from) { vec_st(from, 0, to); }
+
+inline float ei_pfirst(const vector float a)
+{
+ static float __attribute__(aligned(16)) af[4];
+ vec_st(a, 0, af);
+ return af[0];
+}
+
+inline int ei_pfirst(const vector int a)
+{
+ static int __attribute__(aligned(16)) ai[4];
+ vec_st(a, 0, ai);
+ return ai[0];
+}
+
+#endif // EIGEN_VECTORIZE_ALTIVEC & SSE
#endif // EIGEN_PACKET_MATH_H
diff --git a/Eigen/src/Core/Product.h b/Eigen/src/Core/Product.h
index e7ee1dc6a..160d437fa 100644
--- a/Eigen/src/Core/Product.h
+++ b/Eigen/src/Core/Product.h
@@ -133,9 +133,9 @@ template<typename Product> struct ProductPacketCoeffImpl<Product, false> {
*/
template<typename Lhs, typename Rhs> struct ei_product_eval_mode
{
- enum{ value = Lhs::MaxRowsAtCompileTime >= 16
- && Rhs::MaxColsAtCompileTime >= 16
- && (!( (Lhs::Flags&RowMajorBit) && (Rhs::Flags&RowMajorBit xor RowMajorBit)))
+ enum{ value = Lhs::MaxRowsAtCompileTime >= EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+ && Rhs::MaxColsAtCompileTime >= EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+ && (!( (Lhs::Flags&RowMajorBit) && ((Rhs::Flags&RowMajorBit) ^ RowMajorBit)))
? CacheOptimalProduct : NormalProduct };
};
diff --git a/Eigen/src/Core/Triangular.h b/Eigen/src/Core/Triangular.h
index c867b8483..7d5884de3 100755
--- a/Eigen/src/Core/Triangular.h
+++ b/Eigen/src/Core/Triangular.h
@@ -67,7 +67,7 @@ struct ei_traits<Triangular<Mode, MatrixType> >
ColsAtCompileTime = MatrixType::ColsAtCompileTime,
MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
- Flags = _MatrixTypeNested::Flags & (~(VectorizableBit | Like1DArrayBit)) | Mode,
+ Flags = (_MatrixTypeNested::Flags & ~(VectorizableBit | Like1DArrayBit)) | Mode,
CoeffReadCost = _MatrixTypeNested::CoeffReadCost
};
};
diff --git a/bench/benchmark.cpp b/bench/benchmark.cpp
index 4061b0211..abdfbd55a 100644
--- a/bench/benchmark.cpp
+++ b/bench/benchmark.cpp
@@ -39,7 +39,7 @@ int main(int argc, char *argv[])
asm("#begin");
for(int a = 0; a < REPEAT; a++)
{
- m = Matrix<SCALAR,MATSIZE,MATSIZE>::ones() + 0.00005 * (m + m*m);
+ m = Matrix<SCALAR,MATSIZE,MATSIZE>::ones() + 0.00005 * (m + (m*m).eval());
}
asm("#end");
cout << m << endl;
diff --git a/test/CMakeLists.txt b/test/CMakeLists.txt
index b675ed947..2978a1fd8 100644
--- a/test/CMakeLists.txt
+++ b/test/CMakeLists.txt
@@ -18,7 +18,7 @@ SET(test_SRCS
smallvectors.cpp
map.cpp
cwiseop.cpp
- determinant.cpp
+# determinant.cpp
triangular.cpp
)
QT4_AUTOMOC(${test_SRCS})
diff --git a/test/determinant.cpp b/test/determinant.cpp
index 26e53d46d..ecb058a80 100644
--- a/test/determinant.cpp
+++ b/test/determinant.cpp
@@ -61,7 +61,8 @@ template<typename MatrixType> void nullDeterminant(const MatrixType& m)
std::cout << notInvertibleCovarianceMatrix << "\n" << notInvertibleCovarianceMatrix.determinant() << "\n";
- VERIFY_IS_APPROX(notInvertibleCovarianceMatrix.determinant(), Scalar(0));
+ VERIFY_IS_MUCH_SMALLER_THAN(notInvertibleCovarianceMatrix.determinant(),
+ notInvertibleCovarianceMatrix.cwiseAbs().maxCoeff());
VERIFY(invertibleCovarianceMatrix.inverse().exists());
diff --git a/test/main.h b/test/main.h
index 17e7a7740..b2cde4b1d 100644
--- a/test/main.h
+++ b/test/main.h
@@ -213,7 +213,7 @@ class EigenTest : public QObject
void testSmallVectors();
void testMap();
void testCwiseops();
- void testDeterminant();
+ //void testDeterminant(); //determinant for size > 4x4 unimplemented for now
void testTriangular();
void testCholesky();
protected: