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-rw-r--r--ggml-cuda.cu25
1 files changed, 17 insertions, 8 deletions
diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index 83d53c13..d83aefc9 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -306,11 +306,11 @@ typedef struct {
#define QI4_K (QK_K / (4*QR4_K))
#ifdef GGML_QKK_64
typedef struct {
- half d[2]; // super-block scales/mins
+ half dm[2]; // super-block scales/mins
uint8_t scales[2]; // 4-bit block scales/mins
uint8_t qs[QK_K/2]; // 4--bit quants
} block_q4_K;
-static_assert(sizeof(block_q4_K) == 2*sizeof(ggml_fp16_t) + QK_K/2 + 2, "wrong q4_K block size/padding");
+static_assert(sizeof(block_q4_K) == sizeof(half2) + QK_K/2 + 2, "wrong q4_K block size/padding");
#else
typedef struct {
half2 dm; // super-block scale for quantized scales/mins
@@ -737,8 +737,8 @@ static __global__ void dequantize_block_q4_K(const void * __restrict__ vx, float
const int tid = threadIdx.x;
const uint8_t * q = x[i].qs;
float * y = yy + i*QK_K;
- const float d = (float)x[i].d[0];
- const float m = (float)x[i].d[1];
+ const float d = (float)x[i].dm[0];
+ const float m = (float)x[i].dm[1];
y[tid+ 0] = d * (x[i].scales[0] & 0xF) * (q[tid] & 0xF) - m * (x[i].scales[0] >> 4);
y[tid+32] = d * (x[i].scales[1] & 0xF) * (q[tid] >> 4) - m * (x[i].scales[1] >> 4);
#endif
@@ -1155,8 +1155,8 @@ static __global__ void dequantize_mul_mat_vec_q4_k(const void * __restrict__ vx,
const uint16_t * a = (const uint16_t *)x[i].scales;
aux16[0] = a[0] & 0x0f0f;
aux16[1] = (a[0] >> 4) & 0x0f0f;
- const float d = (float)x[i].d[0];
- const float m = (float)x[i].d[1];
+ const float d = (float)x[i].dm[0];
+ const float m = (float)x[i].dm[1];
float sum = 0.f;
for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
sum += y[j+ 0] * (d * s[0] * (q[j+ 0] & 0xF) - m * s[2])
@@ -2845,8 +2845,8 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1(
aux16[0] = a[0] & 0x0f0f;
aux16[1] = (a[0] >> 4) & 0x0f0f;
- const float dall = bq4_K->d[0];
- const float dmin = bq4_K->d[1];
+ const float dall = bq4_K->dm[0];
+ const float dmin = bq4_K->dm[1];
const float d8_1 = __low2float(bq8_1[0].ds);
const float d8_2 = __low2float(bq8_1[1].ds);
@@ -2929,7 +2929,11 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
const block_q4_K * bxi = bx0 + i*blocks_per_row + kbxd;
+#if QK_K == 256
x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = bxi->dm;
+#else
+ x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = {bxi->dm[0], bxi->dm[1]};
+#endif
}
#pragma unroll
@@ -3119,7 +3123,9 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
const block_q5_K * bxi = bx0 + i*blocks_per_row + kbxd;
+#if QK_K == 256
x_dm[i * (WARP_SIZE/QI5_K) + i / QI5_K + kbxd] = bxi->dm;
+#endif
}
#pragma unroll
@@ -4709,6 +4715,8 @@ static void ggml_mul_mat_q3_K_q8_1_cuda(
const void * vx, const void * vy, float * dst, const int ncols_x, const int nrows_x,
const int ncols_y, const int nrows_y, const int nrows_dst, cudaStream_t stream) {
+#if QK_K == 256
+
int id;
CUDA_CHECK(cudaGetDevice(&id));
const int compute_capability = g_compute_capabilities[id];
@@ -4740,6 +4748,7 @@ static void ggml_mul_mat_q3_K_q8_1_cuda(
mul_mat_q3_K<need_check><<<block_nums, block_dims, 0, stream>>>
(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
}
+#endif
}
static void ggml_mul_mat_q4_K_q8_1_cuda(