diff --git a/ggml-cuda.cu b/ggml-cuda.cu index 1b95d24db..89e69bdc1 100644 --- a/ggml-cuda.cu +++ b/ggml-cuda.cu @@ -1258,7 +1258,7 @@ static __global__ void dequantize_block(const void * __restrict__ vx, float * __ } 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; @@ -1279,11 +1279,11 @@ static __device__ __forceinline__ float vec_dot_q4_0_q8_1(const void * __restric 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)]); @@ -1304,11 +1304,11 @@ static __device__ __forceinline__ float vec_dot_q4_1_q8_1(const void * __restric 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; @@ -1339,11 +1339,11 @@ static __device__ __forceinline__ float vec_dot_q5_0_q8_1(const void * __restric 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)]); @@ -1373,11 +1373,11 @@ static __device__ __forceinline__ float vec_dot_q5_1_q8_1(const void * __restric 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; @@ -1392,7 +1392,7 @@ static __device__ __forceinline__ float vec_dot_q8_0_q8_1(const void * __restric return sumi*d; #else return 0.0f; // only to satisfy the compiler -#endif // __CUDA_ARCH__ >= 600 +#endif // __CUDA_ARCH__ >= 610 } template @@ -2417,7 +2417,7 @@ inline void ggml_cuda_op_mul_mat_vec( 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) {