}
static __device__ __forceinline__ float vec_dot_q4_0_q8_1(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int iqs) {
-#if __CUDA_ARCH__ >= 600 // lowest compute capability for integer intrinsics
+#if __CUDA_ARCH__ >= 610 // lowest compute capability for integer intrinsics
const block_q4_0 * bq4_0 = (const block_q4_0 *) vbq;
int vi;
return sumi*d;
#else
return 0.0f; // only to satisfy the compiler
-#endif // __CUDA_ARCH__ >= 600
+#endif // __CUDA_ARCH__ >= 610
}
static __device__ __forceinline__ float vec_dot_q4_1_q8_1(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int iqs) {
-#if __CUDA_ARCH__ >= 600 // lowest compute capability for integer intrinsics
+#if __CUDA_ARCH__ >= 610 // lowest compute capability for integer intrinsics
const block_q4_1 * bq4_1 = (const block_q4_1 *) vbq;
const int vi = *((int *) &bq4_1->qs[sizeof(int) * (iqs + 0)]);
return sumi*d + m*s / QI4_1; // scale sum by QI4_1 because there are QI4_1 threads working on this block
#else
return 0.0f; // only to satisfy the compiler
-#endif // __CUDA_ARCH__ >= 600
+#endif // __CUDA_ARCH__ >= 610
}
static __device__ __forceinline__ float vec_dot_q5_0_q8_1(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int iqs) {
-#if __CUDA_ARCH__ >= 600 // lowest compute capability for integer intrinsics
+#if __CUDA_ARCH__ >= 610 // lowest compute capability for integer intrinsics
const block_q5_0 * bq5_0 = (const block_q5_0 *) vbq;
int qs;
return sumi*d;
#else
return 0.0f; // only to satisfy the compiler
-#endif // __CUDA_ARCH__ >= 600
+#endif // __CUDA_ARCH__ >= 610
}
static __device__ __forceinline__ float vec_dot_q5_1_q8_1(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int iqs) {
-#if __CUDA_ARCH__ >= 600 // lowest compute capability for integer intrinsics
+#if __CUDA_ARCH__ >= 610 // lowest compute capability for integer intrinsics
const block_q5_1 * bq5_1 = (const block_q5_1 *) vbq;
const int qs = *((int *) &bq5_1->qs[sizeof(int) * (iqs + 0)]);
return sumi*d + m*s / QI5_1; // scale sum by QI5_1 because there are QI5_1 threads working on this block
#else
return 0.0f; // only to satisfy the compiler
-#endif // __CUDA_ARCH__ >= 600
+#endif // __CUDA_ARCH__ >= 610
}
static __device__ __forceinline__ float vec_dot_q8_0_q8_1(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int iqs) {
-#if __CUDA_ARCH__ >= 600 // lowest compute capability for integer intrinsics
+#if __CUDA_ARCH__ >= 610 // lowest compute capability for integer intrinsics
const block_q8_0 * bq8_0 = (const block_q8_0 *) vbq;
int vi;
return sumi*d;
#else
return 0.0f; // only to satisfy the compiler
-#endif // __CUDA_ARCH__ >= 600
+#endif // __CUDA_ARCH__ >= 610
}
template <int qk, int qi, typename block_q_t, vec_dot_q_cuda_t vec_dot_q_cuda>
src0->type == GGML_TYPE_Q5_1 ||
src0->type == GGML_TYPE_Q8_0;
- const bool use_mul_mat_vec_q = g_compute_capabilities[id] >= 600 && mul_mat_vec_q_implemented;
+ const bool use_mul_mat_vec_q = g_compute_capabilities[id] >= 610 && mul_mat_vec_q_implemented;
#endif
if (use_mul_mat_vec_q) {