Updated the cxx11_tensor_custom_op to not require cxx11.

1 files changed, 8 insertions, 4 deletions

diff --git a/unsupported/test/cxx11_tensor_custom_op.cpp b/unsupported/test/cxx11_tensor_custom_op.cpp
index 7e33c9580..8baa477cc 100644
--- a/unsupported/test/cxx11_tensor_custom_op.cpp
+++ b/unsupported/test/cxx11_tensor_custom_op.cpp
@@ -25,7 +25,9 @@ struct InsertZeros {
   template <typename Output, typename Device>
   void eval(const Tensor<float, 2>& input, Output& output, const Device& device) const
   {
-    array<DenseIndex, 2> strides{{2, 2}};
+    array<DenseIndex, 2> strides;
+    strides[0] = 2;
+    strides[1] = 2;
     output.stride(strides).device(device) = input;
 
     Eigen::DSizes<DenseIndex, 2> offsets(1,1);
@@ -70,7 +72,8 @@ struct BatchMatMul {
             Output& output, const Device& device) const
   {
     typedef Tensor<float, 3>::DimensionPair DimPair;
-    array<DimPair, 1> dims({{DimPair(1, 0)}});
+    array<DimPair, 1> dims;
+    dims[0] = DimPair(1, 0);
     for (int i = 0; i < output.dimension(2); ++i) {
       output.template chip<2>(i).device(device) = input1.chip<2>(i).contract(input2.chip<2>(i), dims);
     }
@@ -88,9 +91,10 @@ static void test_custom_binary_op()
   Tensor<float, 3> result = tensor1.customOp(tensor2, BatchMatMul());
   for (int i = 0; i < 5; ++i) {
     typedef Tensor<float, 3>::DimensionPair DimPair;
-    array<DimPair, 1> dims({{DimPair(1, 0)}});
+    array<DimPair, 1> dims;
+    dims[0] = DimPair(1, 0);
     Tensor<float, 2> reference = tensor1.chip<2>(i).contract(tensor2.chip<2>(i), dims);
-    TensorRef<Tensor<float, 2>> val = result.chip<2>(i);
+    TensorRef<Tensor<float, 2> > val = result.chip<2>(i);
     for (int j = 0; j < 2; ++j) {
       for (int k = 0; k < 7; ++k) {
         VERIFY_IS_APPROX(val(j, k), reference(j, k));