diff --git a/unsupported/Eigen/CXX11/src/Tensor/Tensor.h b/unsupported/Eigen/CXX11/src/Tensor/Tensor.h
index 879057f..ceed095 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/Tensor.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/Tensor.h
@@ -1,6 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
 // for linear algebra.
 //
+// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
 // Copyright (C) 2013 Christian Seiler <christian@iwakd.de>
 //
 // This Source Code Form is subject to the terms of the Mozilla
@@ -82,7 +83,7 @@
 
     static const std::size_t NumIndices = NumIndices_;
 
-  typedef DSizes<DenseIndex, NumIndices_> Dimensions;
+    typedef DSizes<DenseIndex, NumIndices_> Dimensions;
 
   protected:
     TensorStorage<Scalar, NumIndices, Dynamic, Options> m_storage;
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h b/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h
index 0e55d4d..2bd158d 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h
@@ -114,7 +114,7 @@
 
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
 
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) {
     m_impl.evalSubExprsIfNeeded(NULL);
     return true;
   }
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h b/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
index 9ecea91..3aa3eba 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
@@ -136,7 +136,7 @@
 
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
 
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) {
     m_impl.evalSubExprsIfNeeded(NULL);
     return true;
   }
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorConcatenation.h b/unsupported/Eigen/CXX11/src/Tensor/TensorConcatenation.h
index b8e43f4..74485b1 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorConcatenation.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorConcatenation.h
@@ -140,7 +140,7 @@
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
 
   // TODO(phli): Add short-circuit memcpy evaluation if underlying data are linear?
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/)
   {
     m_leftImpl.evalSubExprsIfNeeded(NULL);
     m_rightImpl.evalSubExprsIfNeeded(NULL);
@@ -202,13 +202,13 @@
   Scalar* data() const { return NULL; }
 
   protected:
-    const Axis m_axis;
     Dimensions m_dimensions;
     array<Index, NumDims> m_outputStrides;
     array<Index, NumDims> m_leftStrides;
     array<Index, NumDims> m_rightStrides;
     TensorEvaluator<LeftArgType, Device> m_leftImpl;
     TensorEvaluator<RightArgType, Device> m_rightImpl;
+    const Axis m_axis;
 };
 
 
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h b/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
index cd992da..0db34ad 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
@@ -671,10 +671,10 @@
   Index m_j_size;
   Index m_k_size;
 
-  const Device& m_device;
-  Scalar* m_result;
   TensorEvaluator<LeftArgType, Device> m_leftImpl;
   TensorEvaluator<RightArgType, Device> m_rightImpl;
+  const Device& m_device;
+  Scalar* m_result;
 };
 
 
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h b/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
index 34bdd53..50cb10a 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
@@ -230,7 +230,7 @@
   };
 
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device)
-      : m_inputImpl(op.inputExpression(), device), m_kernelImpl(op.kernelExpression(), device), m_kernel(NULL), m_kernelArg(op.kernelExpression()), m_local_kernel(false), m_device(device)
+      : m_inputImpl(op.inputExpression(), device), m_kernelImpl(op.kernelExpression(), device), m_kernelArg(op.kernelExpression()), m_kernel(NULL), m_local_kernel(false), m_device(device)
   {
     const typename TensorEvaluator<InputArgType, Device>::Dimensions& input_dims = m_inputImpl.dimensions();
     const typename TensorEvaluator<KernelArgType, Device>::Dimensions& kernel_dims = m_kernelImpl.dimensions();
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h b/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h
index 2c0d2cd..0a8c10a 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h
@@ -64,7 +64,8 @@
     }
 #endif
 
-    inline TensorMap(PointerArgType dataPtr, const array<Index, NumIndices>& dimensions)
+    template <typename Dimensions>
+    inline TensorMap(PointerArgType dataPtr, const Dimensions& dimensions)
       : m_data(dataPtr), m_dimensions(dimensions)
     { }
 
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h b/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h
index 13109f5..686bf5c 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h
@@ -130,8 +130,8 @@
   Scalar* data() const { return m_impl.data(); }
 
  protected:
-  NewDimensions m_dimensions;
   TensorEvaluator<ArgType, Device> m_impl;
+  NewDimensions m_dimensions;
 };
 
 
@@ -381,13 +381,13 @@
     return inputIndex;
   }
 
-  Dimensions m_dimensions;
   array<Index, NumDims> m_outputStrides;
   array<internal::TensorIntDivisor<Index>, NumDims> m_fastOutputStrides;
   array<Index, NumDims> m_inputStrides;
-  const StartIndices m_offsets;
   TensorEvaluator<ArgType, Device> m_impl;
   const Device& m_device;
+  Dimensions m_dimensions;
+  const StartIndices m_offsets;
 };
 
 
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h b/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h
index 8da6e0f..89c0cff 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h
@@ -215,11 +215,11 @@
     return rslt;
   }
 
-  PaddingDimensions m_padding;
   Dimensions m_dimensions;
   array<Index, NumDims+1> m_outputStrides;
   array<Index, NumDims> m_inputStrides;
   TensorEvaluator<ArgType, Device> m_impl;
+  PaddingDimensions m_padding;
 };
 
 
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h b/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h
index 01f2daf..e2fe32d 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h
@@ -120,7 +120,7 @@
 
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
 
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) {
     m_impl.evalSubExprsIfNeeded(NULL);
     return true;
   }
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
index eef9921..cbe8739 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
@@ -152,7 +152,7 @@
 
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
 
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) {
     m_impl.evalSubExprsIfNeeded(NULL);
     return true;
   }
@@ -217,8 +217,8 @@
   array<Index, NumDims> m_preservedStrides;
   array<Index, NumReducedDims> m_reducedStrides;
   array<Index, NumReducedDims> m_reducedDims;
-  Op m_reducer;
   TensorEvaluator<ArgType, Device> m_impl;
+  Op m_reducer;
 };
 
 } // end namespace Eigen
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h b/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
index 7e00636..831a9f0 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
@@ -131,7 +131,7 @@
 
   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
 
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) {
     m_impl.evalSubExprsIfNeeded(NULL);
     return true;
   }
diff --git a/unsupported/test/cxx11_tensor_fixed_size.cpp b/unsupported/test/cxx11_tensor_fixed_size.cpp
index b0501aa..99ffc7f 100644
--- a/unsupported/test/cxx11_tensor_fixed_size.cpp
+++ b/unsupported/test/cxx11_tensor_fixed_size.cpp
@@ -32,10 +32,10 @@
   vec1(5) = 42.0; vec2(5) = 5.0;
 
   float data3[6];
-  TensorMap<TensorFixedSize<float, Sizes<6> > > vec3(data3, 6);
+  TensorMap<TensorFixedSize<float, Sizes<6> > > vec3(data3, Sizes<6>());
   vec3 = vec1.sqrt();
   float data4[6];
-  TensorMap<TensorFixedSize<float, Sizes<6>, RowMajor> > vec4(data4, 6);
+  TensorMap<TensorFixedSize<float, Sizes<6>, RowMajor> > vec4(data4, Sizes<6>());
   vec4 = vec2.sqrt();
 
   VERIFY_IS_EQUAL((vec3.size()), 6);
@@ -68,9 +68,9 @@
 static void test_2d()
 {
   float data1[6];
-  TensorMap<TensorFixedSize<float, Sizes<2, 3> >> mat1(data1,2,3);
+  TensorMap<TensorFixedSize<float, Sizes<2, 3> >> mat1(data1, Sizes<2, 3>());
   float data2[6];
-  TensorMap<TensorFixedSize<float, Sizes<2, 3>, RowMajor>> mat2(data2,2,3);
+  TensorMap<TensorFixedSize<float, Sizes<2, 3>, RowMajor>> mat2(data2, Sizes<2, 3>());
 
   VERIFY_IS_EQUAL((mat1.size()), 2*3);
   //  VERIFY_IS_EQUAL((mat1.dimension(0)), 2);
@@ -166,7 +166,7 @@
   for (int i = 0; i < 2; ++i) {
     for (int j = 0; j < 3; ++j) {
       for (int k = 0; k < 7; ++k) {
-        mat1(array<ptrdiff_t, 3>(i,j,k)) = val;
+        mat1(array<ptrdiff_t, 3>{{i,j,k}}) = val;
         val += 1.0;
       }
     }