Use sycl::log1p in math_utils.hpp

ndgrigorian · ndgrigorian · commit c53fb26dfdcc · 2024-08-15T11:16:17.000-07:00
Prevents build failure on AMD
diff --git a/dpctl/tensor/libtensor/include/utils/math_utils.hpp b/dpctl/tensor/libtensor/include/utils/math_utils.hpp
@@ -126,10 +126,10 @@ template <typename T> T logaddexp(T x, T y)
         // compiler segfault in CUDA build is fixed
         const T tmp = x - y;
         if (tmp > 0) {
-            return x + std::log1p(sycl::exp(-tmp));
+            return x + sycl::log1p(sycl::exp(-tmp));
         }
         else if (tmp <= 0) {
-            return y + std::log1p(sycl::exp(tmp));
+            return y + sycl::log1p(sycl::exp(tmp));
         }
         else {
             return std::numeric_limits<T>::quiet_NaN();

Original file line number	Diff line number	Diff line change
`@@ -126,10 +126,10 @@ template <typename T> T logaddexp(T x, T y)`
`126`	`126`	`// compiler segfault in CUDA build is fixed`
`127`	`127`	`const T tmp = x - y;`
`128`	`128`	`if (tmp > 0) {`
`129`		`- return x + std::log1p(sycl::exp(-tmp));`
	`129`	`+ return x + sycl::log1p(sycl::exp(-tmp));`
`130`	`130`	`}`
`131`	`131`	`else if (tmp <= 0) {`
`132`		`- return y + std::log1p(sycl::exp(tmp));`
	`132`	`+ return y + sycl::log1p(sycl::exp(tmp));`
`133`	`133`	`}`
`134`	`134`	`else {`
`135`	`135`	`return std::numeric_limits<T>::quiet_NaN();`