gcc doesn't consider that

template<typename OtherDerived> TensorStridingOp& operator = (const OtherDerived& other)
provides a valid assignment operator for the striding operation, and therefore refuses to compile code like:
result.stride(foo) = source.stride(bar);

Added the explicit
   TensorStridingOp& operator = (const TensorStridingOp& other)

as a workaround to get the code to compile, and did the same in all the operations that can be used as lvalues.

unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h

@@ -101,6 +101,16 @@ class TensorChippingOp : public TensorBase<TensorChippingOp<DimId, XprType> >
   const typename internal::remove_all<typename XprType::Nested>::type&
   expression() const { return m_xpr; }
 
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE TensorChippingOp& operator = (const TensorChippingOp& other)
+  {
+    typedef TensorAssignOp<TensorChippingOp, const TensorChippingOp> Assign;
+    Assign assign(*this, other);
+    static const bool Vectorize = TensorEvaluator<const Assign, DefaultDevice>::PacketAccess;
+    internal::TensorExecutor<const Assign, DefaultDevice, Vectorize>::run(assign, DefaultDevice());
+    return *this;
+  }
+
   template<typename OtherDerived>
   EIGEN_DEVICE_FUNC
   EIGEN_STRONG_INLINE TensorChippingOp& operator = (const OtherDerived& other)

unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h

@@ -73,6 +73,15 @@ class TensorReshapingOp : public TensorBase<TensorReshapingOp<NewDimensions, Xpr
     const typename internal::remove_all<typename XprType::Nested>::type&
     expression() const { return m_xpr; }
 
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE TensorReshapingOp& operator = (const TensorReshapingOp& other)
+    {
+      typedef TensorAssignOp<TensorReshapingOp, const TensorReshapingOp> Assign;
+      Assign assign(*this, other);
+      internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
+      return *this;
+    }
+
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE TensorReshapingOp& operator = (const OtherDerived& other)
@@ -257,6 +266,16 @@ class TensorSlicingOp : public TensorBase<TensorSlicingOp<StartIndices, Sizes, X
       return *this;
     }
 
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE TensorSlicingOp& operator = (const TensorSlicingOp& other)
+    {
+      typedef TensorAssignOp<TensorSlicingOp, const TensorSlicingOp> Assign;
+      Assign assign(*this, other);
+      internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
+      return *this;
+    }
+
+
   protected:
     typename XprType::Nested m_xpr;
     const StartIndices m_indices;

unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h

@@ -73,6 +73,15 @@ class TensorShufflingOp : public TensorBase<TensorShufflingOp<Shuffle, XprType>
     const typename internal::remove_all<typename XprType::Nested>::type&
     expression() const { return m_xpr; }
 
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE TensorShufflingOp& operator = (const TensorShufflingOp& other)
+    {
+      typedef TensorAssignOp<TensorShufflingOp, const TensorShufflingOp> Assign;
+      Assign assign(*this, other);
+      internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
+      return *this;
+    }
+
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE TensorShufflingOp& operator = (const OtherDerived& other)

unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h

@@ -73,6 +73,15 @@ class TensorStridingOp : public TensorBase<TensorStridingOp<Strides, XprType> >
     const typename internal::remove_all<typename XprType::Nested>::type&
     expression() const { return m_xpr; }
 
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE TensorStridingOp& operator = (const TensorStridingOp& other)
+    {
+      typedef TensorAssignOp<TensorStridingOp, const TensorStridingOp> Assign;
+      Assign assign(*this, other);
+      internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
+      return *this;
+    }
+
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE TensorStridingOp& operator = (const OtherDerived& other)

unsupported/test/cxx11_tensor_chipping.cpp

@@ -318,7 +318,28 @@ static void test_chip_as_lvalue()
       }
     }
   }
+
+  Tensor<float, 5, DataLayout> input7(2,3,5,7,11);
+  input7.setRandom();
+  tensor = input1;
+  tensor.chip(0, 0) = input7.chip(0, 0);
+  for (int i = 0; i < 2; ++i) {
+    for (int j = 0; j < 3; ++j) {
+      for (int k = 0; k < 5; ++k) {
+        for (int l = 0; l < 7; ++l) {
+          for (int m = 0; m < 11; ++m) {
+            if (i != 0) {
+              VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input1(i,j,k,l,m));
+            } else {
+              VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input7(i,j,k,l,m));
             }
+          }
+        }
+      }
+    }
+  }
+}
+
 
 template<int DataLayout>
 static void test_chip_raw_data()

unsupported/test/cxx11_tensor_morphing.cpp

@@ -161,6 +161,8 @@ static void test_slice_as_lvalue()
   tensor3.setRandom();
   Tensor<float, 3, DataLayout> tensor4(4,3,2);
   tensor4.setRandom();
+  Tensor<float, 3, DataLayout> tensor5(10,13,12);
+  tensor5.setRandom();
 
   Tensor<float, 3, DataLayout> result(4,5,7);
   Eigen::DSizes<ptrdiff_t, 3> sizes12(2,2,7);
@@ -195,6 +197,17 @@ static void test_slice_as_lvalue()
       }
     }
   }
+
+  Eigen::DSizes<ptrdiff_t, 3> sizes5(4,5,7);
+  Eigen::DSizes<ptrdiff_t, 3> fifth_slice(0,0,0);
+  result.slice(fifth_slice, sizes5) = tensor5.slice(fifth_slice, sizes5);
+  for (int i = 0; i < 4; ++i) {
+    for (int j = 2; j < 5; ++j) {
+      for (int k = 0; k < 7; ++k) {
+        VERIFY_IS_EQUAL(result(i,j,k), tensor5(i,j,k));
+      }
+    }
+  }
 }
 
 template<int DataLayout>

unsupported/test/cxx11_tensor_shuffling.cpp

@@ -157,6 +157,23 @@ static void test_shuffling_as_value()
       }
     }
   }
+
+  array<ptrdiff_t, 4> no_shuffle;
+  no_shuffle[0] = 0;
+  no_shuffle[1] = 1;
+  no_shuffle[2] = 2;
+  no_shuffle[3] = 3;
+  Tensor<float, 4, DataLayout> shuffle2(5,7,3,2);
+  shuffle2.shuffle(shuffles) = tensor.shuffle(no_shuffle);
+  for (int i = 0; i < 5; ++i) {
+    for (int j = 0; j < 7; ++j) {
+      for (int k = 0; k < 3; ++k) {
+        for (int l = 0; l < 2; ++l) {
+          VERIFY_IS_EQUAL(shuffle2(i,j,k,l), shuffle(i,j,k,l));
+        }
+      }
+    }
+  }
 }
 
 void test_cxx11_tensor_shuffling()

unsupported/test/cxx11_tensor_striding.cpp

@@ -89,6 +89,24 @@ static void test_striding_as_lvalue()
       }
     }
   }
+
+  array<ptrdiff_t, 4> no_strides;
+  no_strides[0] = 1;
+  no_strides[1] = 1;
+  no_strides[2] = 1;
+  no_strides[3] = 1;
+  Tensor<float, 4, DataLayout> result2(3, 12, 10, 21);
+  result2.stride(strides) = tensor.stride(no_strides);
+
+  for (int i = 0; i < 2; ++i) {
+    for (int j = 0; j < 3; ++j) {
+      for (int k = 0; k < 5; ++k) {
+        for (int l = 0; l < 7; ++l) {
+          VERIFY_IS_EQUAL(tensor(i,j,k,l), result2(2*i,4*j,2*k,3*l));
+        }
+      }
+    }
+  }
 }