GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-07-16 01:51:51 +08:00
Code Issues Packages Projects Releases Wiki Activity

Fix windows+CUDA builds

Browse Source
This commit is contained in:
Antonio Sanchez 2023-10-25 20:45:11 +00:00
parent 7176ae1623
commit 1217390db4
2 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
Eigen/src/Core/util/Macros.h
View File

@ -1198,7 +1198,7 @@ namespace Eigen {
#define EIGEN_USING_STD(FUNC) using std::FUNC;
#endif
#if EIGEN_COMP_MSVC_STRICT && (EIGEN_COMP_MSVC < 1900 || (EIGEN_COMP_MSVC == 1900 && EIGEN_COMP_NVCC))
#if EIGEN_COMP_MSVC_STRICT && (EIGEN_COMP_MSVC < 1916 || (EIGEN_COMP_MSVC == 1916 && EIGEN_COMP_NVCC))
// For older MSVC versions, as well as 1900 && CUDA 8, using the base operator is necessary,
// otherwise we get duplicate definition errors
// For later MSVC versions, we require explicit operator= definition, otherwise we get

8
unsupported/test/cxx11_tensor_of_float16_gpu.cu
View File

@ -113,7 +113,7 @@ void test_gpu_unary() {
gpu_float.device(gpu_device) = gpu_float.random() - gpu_float.constant(0.5f);
gpu_res_float.device(gpu_device) = gpu_float.abs();
gpu_res_half.device(gpu_device) = gpu_float.cast<Eigen::half>().abs().cast<float>();
gpu_res_half.device(gpu_device) = gpu_float.cast<Eigen::half>().abs().template cast<float>();
Tensor<float, 1> half_prec(num_elem);
Tensor<float, 1> full_prec(num_elem);
@ -154,7 +154,7 @@ void test_gpu_elementwise() {
gpu_float1.device(gpu_device) = gpu_float1.random();
gpu_float2.device(gpu_device) = gpu_float2.random();
gpu_res_float.device(gpu_device) = (gpu_float1 + gpu_float2) * gpu_float1;
gpu_res_half.device(gpu_device) = ((gpu_float1.cast<Eigen::half>() + gpu_float2.cast<Eigen::half>()) * gpu_float1.cast<Eigen::half>()).cast<float>();
gpu_res_half.device(gpu_device) = ((gpu_float1.cast<Eigen::half>() + gpu_float2.cast<Eigen::half>()) * gpu_float1.cast<Eigen::half>()).template cast<float>();
Tensor<float, 1> half_prec(num_elem);
Tensor<float, 1> full_prec(num_elem);
@ -444,8 +444,8 @@ void test_gpu_forced_evals() {
gpu_float.device(gpu_device) = gpu_float.random() - gpu_float.constant(0.5f);
gpu_res_float.device(gpu_device) = gpu_float.abs();
gpu_res_half1.device(gpu_device) = gpu_float.cast<Eigen::half>().abs().eval().cast<float>();
gpu_res_half2.device(gpu_device) = gpu_float.cast<Eigen::half>().abs().broadcast(no_bcast).eval().cast<float>();
gpu_res_half1.device(gpu_device) = gpu_float.cast<Eigen::half>().abs().eval().template cast<float>();
gpu_res_half2.device(gpu_device) = gpu_float.cast<Eigen::half>().abs().broadcast(no_bcast).eval().template cast<float>();
Tensor<float, 1> half_prec1(num_elem);
Tensor<float, 1> half_prec2(num_elem);