Fix cxx11_tensor_fft not building on Windows.

The type used in Eigen::DSizes needs to be at least 8 bytes long. Internally Tensor tries to convert this to an __int64 on Windows and this fails to build. On Linux, long and long long are both 8 byte integer types.
* * *
Changing from "long long" to "std::int64_t".

1 files changed, 7 insertions, 4 deletions

diff --git a/unsupported/test/cxx11_tensor_fft.cpp b/unsupported/test/cxx11_tensor_fft.cpp
index a55369477..ef5f1a312 100644
--- a/unsupported/test/cxx11_tensor_fft.cpp
+++ b/unsupported/test/cxx11_tensor_fft.cpp
@@ -228,10 +228,13 @@ template <typename RealScalar>
 static void test_fft_non_power_of_2_round_trip(int exponent) {
   int n = (1 << exponent) + 1;
 
-  Eigen::DSizes<long, 1> dimensions;
+  // The dimension type needs to be at least 8 bytes long for the
+  // Tensor constructor to work. On Windows, long is only 4 bytes long,
+  // so use long long here to force the usage of a 8 bytes integer type.
+  Eigen::DSizes<std::int64_t, 1> dimensions;
   dimensions[0] = n;
-  const DSizes<long, 1> arr = dimensions;
-  Tensor<RealScalar, 1, ColMajor, long> input;
+  const DSizes<std::int64_t, 1> arr = dimensions;
+  Tensor<RealScalar, 1, ColMajor, std::int64_t> input;
 
   input.resize(arr);
   input.setRandom();
@@ -242,7 +245,7 @@ static void test_fft_non_power_of_2_round_trip(int exponent) {
   Tensor<std::complex<RealScalar>, 1, ColMajor> forward =
       input.template fft<BothParts, FFT_FORWARD>(fft);
 
-  Tensor<RealScalar, 1, ColMajor, long> output =
+  Tensor<RealScalar, 1, ColMajor, std::int64_t> output =
       forward.template fft<RealPart, FFT_REVERSE>(fft);
 
   for (int i = 0; i < n; ++i) {