GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-09-13 01:43:13 +08:00
Code Issues Packages Projects Releases Wiki Activity

Remove explicit specialization of member function.

Browse Source
This commit is contained in:
Antonio Sánchez 2024-01-23 16:40:43 +00:00
parent 2692fb2b71
commit 92f9544f6d
1 changed files with 9 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
unsupported/test/cxx11_tensor_executor.cpp
View File

@ -136,7 +136,8 @@ void test_execute_broadcasting(Device d) {
template <typename T, int NumDims, typename Device, bool Vectorizable, TiledEvaluation Tiling, int Layout> template <typename T, int NumDims, typename Device, bool Vectorizable, TiledEvaluation Tiling, int Layout>
struct test_execute_chipping_rvalue_runner { struct test_execute_chipping_rvalue_runner {
template <int ChipDim> template <int ChipDim>
static void run_dim(Device& d, const array<Index, NumDims>& dims, const Tensor<T, NumDims, Layout, Index>& src) { static std::enable_if_t<0 <= ChipDim, void>
run_dim(Device& d, const array<Index, NumDims>& dims, const Tensor<T, NumDims, Layout, Index>& src) {
const auto offset = internal::random<Index>(0, dims[(ChipDim)] - 1); const auto offset = internal::random<Index>(0, dims[(ChipDim)] - 1);
const auto expr = src.template chip<ChipDim>(offset); const auto expr = src.template chip<ChipDim>(offset);
@ -158,8 +159,9 @@ struct test_execute_chipping_rvalue_runner {
run_dim<ChipDim - 1>(d, dims, src); run_dim<ChipDim - 1>(d, dims, src);
} }
template <> template <int ChipDim>
void run_dim<-1>(Device&, const array<Index, NumDims>&, const Tensor<T, NumDims, Layout, Index>&) {} static std::enable_if_t<ChipDim < 0, void>
run_dim(Device&, const array<Index, NumDims>&, const Tensor<T, NumDims, Layout, Index>&) {}
static void run(Device d) { static void run(Device d) {
auto dims = RandomDims<NumDims>(1, 10); auto dims = RandomDims<NumDims>(1, 10);
@ -177,7 +179,8 @@ void test_execute_chipping_rvalue(Device d) {
template <typename T, int NumDims, typename Device, bool Vectorizable, TiledEvaluation Tiling, int Layout> template <typename T, int NumDims, typename Device, bool Vectorizable, TiledEvaluation Tiling, int Layout>
struct test_execute_chipping_lvalue_runner { struct test_execute_chipping_lvalue_runner {
template <int ChipDim> template <int ChipDim>
static void run_dim(Device& d, const array<Index, NumDims>& dims) { static std::enable_if_t<0 <= ChipDim>
run_dim(Device& d, const array<Index, NumDims>& dims) {
/* Generate random data that we'll assign to the chipped tensor dim. */ /* Generate random data that we'll assign to the chipped tensor dim. */
array<Index, NumDims - 1> src_dims; array<Index, NumDims - 1> src_dims;
for (int i = 0; i < NumDims - 1; ++i) { for (int i = 0; i < NumDims - 1; ++i) {
@ -213,8 +216,8 @@ struct test_execute_chipping_lvalue_runner {
run_dim<ChipDim - 1>(d, dims); run_dim<ChipDim - 1>(d, dims);
} }
template <> template <int ChipDim>
void run_dim<-1>(Device&, const array<Index, NumDims>&) {} static std::enable_if_t<ChipDim < 0, void> run_dim(Device&, const array<Index, NumDims>&) {}
static void run(Device d) { static void run(Device d) {
auto dims = RandomDims<NumDims>(1, 10); auto dims = RandomDims<NumDims>(1, 10);