#if defined(GGML_USE_HIPBLAS)
#define __CUDA_ARCH__ 1300
+#ifndef __has_builtin
+ #define __has_builtin(x) 0
+#endif
+
typedef int8_t int8x4_t __attribute__((ext_vector_type(4)));
static __device__ __forceinline__ int __vsubss4(const int a, const int b) {
const int8x4_t va = reinterpret_cast<const int8x4_t&>(a);
const int8x4_t vb = reinterpret_cast<const int8x4_t&>(b);
+#if __has_builtin(__builtin_elementwise_sub_sat)
const int8x4_t c = __builtin_elementwise_sub_sat(va, vb);
return reinterpret_cast<const int&>(c);
+#else
+ int8x4_t c;
+ int16_t tmp;
+#pragma unroll
+ for (int i = 0; i < 4; i++) {
+ tmp = va[i] - vb[i];
+ if(tmp > std::numeric_limits<int8_t>::max()) tmp = std::numeric_limits<int8_t>::max();
+ if(tmp < std::numeric_limits<int8_t>::min()) tmp = std::numeric_limits<int8_t>::min();
+ c[i] = tmp;
+ }
+ return reinterpret_cast<int&>(c);
+#endif // __has_builtin(__builtin_elementwise_sub_sat)
}
static __device__ __forceinline__ int __dp4a(const int a, const int b, int c) {