Fixed existing bug in Hdf5Reader::readDefault for std::vector<U>

Grid/serialisation/BaseIO.h

@@ -213,13 +213,42 @@ namespace Grid {
     }
   }
 
+  // Helper to dump a tensor
+#ifdef DEBUG
+  template <typename T>
+  typename std::enable_if<EigenIO::is_tensor<T>::value, void>::type
+  dump_tensor_func(T &t, const char * pName = nullptr)
+  {
+    using Traits = typename EigenIO::Traits<typename T::Scalar>;
+    const auto rank{T::NumIndices};
+    const auto &dims = t.dimensions();
+    std::cout << "Dumping rank " << rank << ((T::Options & Eigen::RowMajor) ? ", row" : ", column") << "-major tensor ";
+    if( pName )
+      std::cout << pName;
+    for( auto i = 0 ; i < rank; i++ ) std::cout << "[" << dims[i] << "]";
+    std::cout << " in memory order:" << std::endl;
+    for_all( t, [&](typename Traits::scalar_type &c, typename T::Index index, const std::array<size_t, T::NumIndices + Traits::rank_non_trivial> Dims ){
+      std::cout << "  ";
+      for( auto dim : Dims )
+        std::cout << "[" << dim << "]";
+      std::cout << " = " << c << std::endl;
+    } );
+    std::cout << "========================================" << std::endl;
+  }
+#define dump_tensor(args...) dump_tensor_func(args)
+#else
+#define dump_tensor(args...)
+#endif
+
   // Helper to dump a tensor in memory order
+  // Kind of superfluous given the above
+#ifdef DEBUG
   template <typename T>
   typename std::enable_if<EigenIO::is_tensor_of_scalar<T>::value, void>::type
-  DumpMemoryOrder(T t, const char * pName = nullptr)
+  DumpMemoryOrder(T &t, const char * pName = nullptr)
   {
-    const auto dims = t.dimensions();
     const auto rank = t.rank();
+    const auto &dims = t.dimensions();
     std::cout << "Dumping rank " << rank << ((T::Options & Eigen::RowMajor) ? ", row" : ", column") << "-major tensor ";
     if( pName )
       std::cout << pName;
@@ -258,6 +287,7 @@ namespace Grid {
         std::cout << std::endl;
     }
   }
+#endif
 
   // Abstract writer/reader classes ////////////////////////////////////////////
   // static polymorphism implemented using CRTP idiom

Grid/serialisation/Hdf5IO.h

@@ -215,7 +215,7 @@ namespace Grid
     // read the flat vector
     std::vector<Element> buf(size);
 
-    if (size > dataSetThres_)
+    if (size * sizeof(Element) > dataSetThres_)
     {
       H5NS::DataSet dataSet;
       

tests/IO/Test_serialisation.cc

@@ -101,20 +101,6 @@ void ioTest(const std::string &filename, const O &object, const std::string &nam
 }
 
 #ifdef DEBUG
-template <typename T>
-//typename std::enable_if<EigenIO::is_tensor<T>::value, void>::type
-void dump_tensor(T & t)
-{
-  using Traits = typename EigenIO::Traits<typename T::Scalar>;
-  for_all( t, [&](typename Traits::scalar_type &c, typename T::Index index, const std::size_t * pDims ){
-    std::cout << "  ";
-    for( int i = 0 ; i < t.NumDimensions + Traits::rank_non_trivial; i++ )
-      std::cout << "[" << pDims[i] << "]";
-    std::cout << " = " << c << std::endl;
-  } );
-  std::cout << "========================================" << std::endl;
-}
-
 //typedef int TestScalar;
 typedef std::complex<double> TestScalar;
 typedef Eigen::Tensor<iMatrix<TestScalar,1>, 6> TestTensorSingle;
@@ -159,8 +145,7 @@ bool EigenIOTest(void) {
         Val += Inc;
       }
   ioTest<Hdf5Writer, Hdf5Reader, TestTensor>("iotest_tensor.h5", t, "eigen_tensor_instance_name");
-  std::cout << "t:";
+  dump_tensor(t, "t");
-  dump_tensor(t);
 
   // Now serialise a fixed size tensor
   using FixedTensor = Eigen::TensorFixedSize<TestScalar, Eigen::Sizes<8,4,3>>;
@@ -173,8 +158,7 @@ bool EigenIOTest(void) {
         Val += Inc;
       }
   ioTest<Hdf5Writer, Hdf5Reader, FixedTensor>("iotest_tensor_fixed.h5", tf, "eigen_tensor_fixed_name");
-  std::cout << "tf:";
+  dump_tensor(tf, "tf");
-  dump_tensor(tf);
 
   ETSerClass o;
   ioTest<Hdf5Writer, Hdf5Reader, ETSerClass>("iotest_object.h5", o, "ETSerClass_object_instance_name");
@@ -192,8 +176,7 @@ bool EigenIOTest(void) {
             Val += Inc;
           }
   ioTest<Hdf5Writer, Hdf5Reader, LSCTensor>("iotest_LSCTensor.h5", l, "LSCTensor_object_instance_name");
-  std::cout << "l:";
+  dump_tensor(l, "l");
-  dump_tensor(l);
 
   // Tensor of spin colour
   LCMTensor l2;