Squashed 'third_party/eigen/' changes from 61d72f6..cf794d3


Change-Id: I9b814151b01f49af6337a8605d0c42a3a1ed4c72
git-subtree-dir: third_party/eigen
git-subtree-split: cf794d3b741a6278df169e58461f8529f43bce5d
diff --git a/test/mapstride.cpp b/test/mapstride.cpp
index b1dc9de..d785148 100644
--- a/test/mapstride.cpp
+++ b/test/mapstride.cpp
@@ -11,7 +11,6 @@
 
 template<int Alignment,typename VectorType> void map_class_vector(const VectorType& m)
 {
-  typedef typename VectorType::Index Index;
   typedef typename VectorType::Scalar Scalar;
 
   Index size = m.size();
@@ -23,7 +22,7 @@
   Scalar* a_array = internal::aligned_new<Scalar>(arraysize+1);
   Scalar* array = a_array;
   if(Alignment!=Aligned)
-    array = (Scalar*)(ptrdiff_t(a_array) + (internal::packet_traits<Scalar>::AlignedOnScalar?sizeof(Scalar):sizeof(typename NumTraits<Scalar>::Real)));
+    array = (Scalar*)(internal::IntPtr(a_array) + (internal::packet_traits<Scalar>::AlignedOnScalar?sizeof(Scalar):sizeof(typename NumTraits<Scalar>::Real)));
 
   {
     Map<VectorType, Alignment, InnerStride<3> > map(array, size);
@@ -50,22 +49,35 @@
 
 template<int Alignment,typename MatrixType> void map_class_matrix(const MatrixType& _m)
 {
-  typedef typename MatrixType::Index Index;
   typedef typename MatrixType::Scalar Scalar;
 
   Index rows = _m.rows(), cols = _m.cols();
 
   MatrixType m = MatrixType::Random(rows,cols);
+  Scalar s1 = internal::random<Scalar>();
 
-  Index arraysize = 2*(rows+4)*(cols+4);
+  Index arraysize = 4*(rows+4)*(cols+4);
 
-  Scalar* a_array = internal::aligned_new<Scalar>(arraysize+1);
-  Scalar* array = a_array;
+  Scalar* a_array1 = internal::aligned_new<Scalar>(arraysize+1);
+  Scalar* array1 = a_array1;
   if(Alignment!=Aligned)
-    array = (Scalar*)(ptrdiff_t(a_array) + (internal::packet_traits<Scalar>::AlignedOnScalar?sizeof(Scalar):sizeof(typename NumTraits<Scalar>::Real)));
+    array1 = (Scalar*)(internal::IntPtr(a_array1) + (internal::packet_traits<Scalar>::AlignedOnScalar?sizeof(Scalar):sizeof(typename NumTraits<Scalar>::Real)));
 
+  Scalar a_array2[256];
+  Scalar* array2 = a_array2;
+  if(Alignment!=Aligned)
+    array2 = (Scalar*)(internal::IntPtr(a_array2) + (internal::packet_traits<Scalar>::AlignedOnScalar?sizeof(Scalar):sizeof(typename NumTraits<Scalar>::Real)));
+  else
+    array2 = (Scalar*)(((internal::UIntPtr(a_array2)+EIGEN_MAX_ALIGN_BYTES-1)/EIGEN_MAX_ALIGN_BYTES)*EIGEN_MAX_ALIGN_BYTES);
+  Index maxsize2 = a_array2 - array2 + 256;
+  
   // test no inner stride and some dynamic outer stride
+  for(int k=0; k<2; ++k)
   {
+    if(k==1 && (m.innerSize()+1)*m.outerSize() > maxsize2)
+      break;
+    Scalar* array = (k==0 ? array1 : array2);
+    
     Map<MatrixType, Alignment, OuterStride<Dynamic> > map(array, rows, cols, OuterStride<Dynamic>(m.innerSize()+1));
     map = m;
     VERIFY(map.outerStride() == map.innerSize()+1);
@@ -75,11 +87,19 @@
         VERIFY(array[map.outerStride()*i+j] == m.coeffByOuterInner(i,j));
         VERIFY(map.coeffByOuterInner(i,j) == m.coeffByOuterInner(i,j));
       }
+    VERIFY_IS_APPROX(s1*map,s1*m);
+    map *= s1;
+    VERIFY_IS_APPROX(map,s1*m);
   }
 
   // test no inner stride and an outer stride of +4. This is quite important as for fixed-size matrices,
   // this allows to hit the special case where it's vectorizable.
+  for(int k=0; k<2; ++k)
   {
+    if(k==1 && (m.innerSize()+4)*m.outerSize() > maxsize2)
+      break;
+    Scalar* array = (k==0 ? array1 : array2);
+    
     enum {
       InnerSize = MatrixType::InnerSizeAtCompileTime,
       OuterStrideAtCompileTime = InnerSize==Dynamic ? Dynamic : InnerSize+4
@@ -94,10 +114,18 @@
         VERIFY(array[map.outerStride()*i+j] == m.coeffByOuterInner(i,j));
         VERIFY(map.coeffByOuterInner(i,j) == m.coeffByOuterInner(i,j));
       }
+    VERIFY_IS_APPROX(s1*map,s1*m);
+    map *= s1;
+    VERIFY_IS_APPROX(map,s1*m);
   }
 
   // test both inner stride and outer stride
+  for(int k=0; k<2; ++k)
   {
+    if(k==1 && (2*m.innerSize()+1)*(m.outerSize()*2) > maxsize2)
+      break;
+    Scalar* array = (k==0 ? array1 : array2);
+    
     Map<MatrixType, Alignment, Stride<Dynamic,Dynamic> > map(array, rows, cols, Stride<Dynamic,Dynamic>(2*m.innerSize()+1, 2));
     map = m;
     VERIFY(map.outerStride() == 2*map.innerSize()+1);
@@ -108,9 +136,65 @@
         VERIFY(array[map.outerStride()*i+map.innerStride()*j] == m.coeffByOuterInner(i,j));
         VERIFY(map.coeffByOuterInner(i,j) == m.coeffByOuterInner(i,j));
       }
+    VERIFY_IS_APPROX(s1*map,s1*m);
+    map *= s1;
+    VERIFY_IS_APPROX(map,s1*m);
   }
 
-  internal::aligned_delete(a_array, arraysize+1);
+  // test inner stride and no outer stride
+  for(int k=0; k<2; ++k)
+  {
+    if(k==1 && (m.innerSize()*2)*m.outerSize() > maxsize2)
+      break;
+    Scalar* array = (k==0 ? array1 : array2);
+
+    Map<MatrixType, Alignment, InnerStride<Dynamic> > map(array, rows, cols, InnerStride<Dynamic>(2));
+    map = m;
+    VERIFY(map.outerStride() == map.innerSize()*2);
+    for(int i = 0; i < m.outerSize(); ++i)
+      for(int j = 0; j < m.innerSize(); ++j)
+      {
+        VERIFY(array[map.innerSize()*i*2+j*2] == m.coeffByOuterInner(i,j));
+        VERIFY(map.coeffByOuterInner(i,j) == m.coeffByOuterInner(i,j));
+      }
+    VERIFY_IS_APPROX(s1*map,s1*m);
+    map *= s1;
+    VERIFY_IS_APPROX(map,s1*m);
+  }
+
+  internal::aligned_delete(a_array1, arraysize+1);
+}
+
+// Additional tests for inner-stride but no outer-stride
+template<int>
+void bug1453()
+{
+  const int data[] = {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31};
+  typedef Matrix<int,Dynamic,Dynamic,RowMajor> RowMatrixXi;
+  typedef Matrix<int,2,3,ColMajor> ColMatrix23i;
+  typedef Matrix<int,3,2,ColMajor> ColMatrix32i;
+  typedef Matrix<int,2,3,RowMajor> RowMatrix23i;
+  typedef Matrix<int,3,2,RowMajor> RowMatrix32i;
+
+  VERIFY_IS_APPROX(MatrixXi::Map(data, 2, 3, InnerStride<2>()), MatrixXi::Map(data, 2, 3, Stride<4,2>()));
+  VERIFY_IS_APPROX(MatrixXi::Map(data, 2, 3, InnerStride<>(2)), MatrixXi::Map(data, 2, 3, Stride<4,2>()));
+  VERIFY_IS_APPROX(MatrixXi::Map(data, 3, 2, InnerStride<2>()), MatrixXi::Map(data, 3, 2, Stride<6,2>()));
+  VERIFY_IS_APPROX(MatrixXi::Map(data, 3, 2, InnerStride<>(2)), MatrixXi::Map(data, 3, 2, Stride<6,2>()));
+
+  VERIFY_IS_APPROX(RowMatrixXi::Map(data, 2, 3, InnerStride<2>()), RowMatrixXi::Map(data, 2, 3, Stride<6,2>()));
+  VERIFY_IS_APPROX(RowMatrixXi::Map(data, 2, 3, InnerStride<>(2)), RowMatrixXi::Map(data, 2, 3, Stride<6,2>()));
+  VERIFY_IS_APPROX(RowMatrixXi::Map(data, 3, 2, InnerStride<2>()), RowMatrixXi::Map(data, 3, 2, Stride<4,2>()));
+  VERIFY_IS_APPROX(RowMatrixXi::Map(data, 3, 2, InnerStride<>(2)), RowMatrixXi::Map(data, 3, 2, Stride<4,2>()));
+
+  VERIFY_IS_APPROX(ColMatrix23i::Map(data, InnerStride<2>()), MatrixXi::Map(data, 2, 3, Stride<4,2>()));
+  VERIFY_IS_APPROX(ColMatrix23i::Map(data, InnerStride<>(2)), MatrixXi::Map(data, 2, 3, Stride<4,2>()));
+  VERIFY_IS_APPROX(ColMatrix32i::Map(data, InnerStride<2>()), MatrixXi::Map(data, 3, 2, Stride<6,2>()));
+  VERIFY_IS_APPROX(ColMatrix32i::Map(data, InnerStride<>(2)), MatrixXi::Map(data, 3, 2, Stride<6,2>()));
+
+  VERIFY_IS_APPROX(RowMatrix23i::Map(data, InnerStride<2>()), RowMatrixXi::Map(data, 2, 3, Stride<6,2>()));
+  VERIFY_IS_APPROX(RowMatrix23i::Map(data, InnerStride<>(2)), RowMatrixXi::Map(data, 2, 3, Stride<6,2>()));
+  VERIFY_IS_APPROX(RowMatrix32i::Map(data, InnerStride<2>()), RowMatrixXi::Map(data, 3, 2, Stride<4,2>()));
+  VERIFY_IS_APPROX(RowMatrix32i::Map(data, InnerStride<>(2)), RowMatrixXi::Map(data, 3, 2, Stride<4,2>()));
 }
 
 void test_mapstride()
@@ -142,6 +226,8 @@
     CALL_SUBTEST_5( map_class_matrix<Unaligned>(MatrixXi(internal::random<int>(1,maxn),internal::random<int>(1,maxn))) );
     CALL_SUBTEST_6( map_class_matrix<Aligned>(MatrixXcd(internal::random<int>(1,maxn),internal::random<int>(1,maxn))) );
     CALL_SUBTEST_6( map_class_matrix<Unaligned>(MatrixXcd(internal::random<int>(1,maxn),internal::random<int>(1,maxn))) );
+
+    CALL_SUBTEST_5( bug1453<0>() );
     
     TEST_SET_BUT_UNUSED_VARIABLE(maxn);
   }