mirror of
https://github.com/ggerganov/llama.cpp.git
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[SYCL] Add q3_s and q1_s (#5886)
* Add q3_s and q1_s * fix compilation * fix build * fix build * fix build * enable ops * rm macro * increase grid space
This commit is contained in:
Abhilash Majumder
GitHub
parent
3814a07392
commit
ef3ced26a3
378
ggml-sycl.cpp
378
ggml-sycl.cpp
@ -3494,6 +3494,31 @@ typedef struct dpct_type_block_iq3_xxs {
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} block_iq3_xxs;
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static_assert(sizeof(block_iq3_xxs) == sizeof(ggml_fp16_t) + 3*(QK_K/8), "wrong iq3_xxs block size/padding");
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#define QR3_XS 8
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#define QI3_XS (QK_K / (4*QR3_XS))
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#if QK_K == 64
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#define IQ3S_N_SCALE 2
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#else
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#define IQ3S_N_SCALE QK_K/64
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#endif
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typedef struct {
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sycl::half d;
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uint8_t qs[QK_K/4];
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uint8_t qh[QK_K/32];
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uint8_t signs[QK_K/8];
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uint8_t scales[IQ3S_N_SCALE];
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} block_iq3_s;
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static_assert(sizeof(block_iq3_s) == sizeof(ggml_fp16_t) + 13*(QK_K/32) + IQ3S_N_SCALE, "wrong iq3_s block size/padding");
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#define QR1_S 8
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#define QI1_S (QK_K / (4*QR1_S))
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typedef struct {
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sycl::half d;
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uint8_t qs[QK_K/8];
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uint8_t scales[QK_K/16];
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} block_iq1_s;
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static_assert(sizeof(block_iq1_s) == sizeof(ggml_fp16_t) + QK_K/8 + QK_K/16, "wrong iq1_s block size/padding");
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#define WARP_SIZE 32
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#define MATRIX_ROW_PADDING 512 // last row of quant. matrices is a multiple of this to avoid out-of-bounds memory accesses
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@ -4833,6 +4858,62 @@ static void dequantize_block_iq3_xxs(const void * __restrict__ vx, dst_t * __res
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}
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template<typename dst_t>
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static void dequantize_block_iq3_s(const void * __restrict__ vx, dst_t * __restrict__ yy,
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const sycl::nd_item<3> &item_ct1,
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const uint32_t *iq3s_grid,
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const uint8_t *ksigns_iq2xs,
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const uint8_t *kmask_iq2xs) {
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const int i = item_ct1.get_group(2);
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const block_iq3_s * x = (const block_iq3_s *) vx;
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const int tid = item_ct1.get_local_id(2);
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#if QK_K == 256
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const int il = tid/8; // 0...3
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const int ib = tid%8; // 0...7
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dst_t * y = yy + i*QK_K + 32*ib + 8*il;
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const uint8_t * qs = x[i].qs + 8*ib;
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const uint8_t * grid1 = (const uint8_t *)(iq3s_grid + qs[2*il+0]);
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const uint8_t * grid2 = (const uint8_t *)(iq3s_grid + qs[2*il+1]);
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const float d = (float)x[i].d * (1 + 2*((x[i].scales[ib/2] >> 4*(ib%2)) & 0xf));
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const uint8_t signs = x[i].signs[4*ib + il];
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for (int j = 0; j < 4; ++j) {
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y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
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y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
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}
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#else
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assert(false);
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#endif
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}
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template<typename dst_t>
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static void dequantize_block_iq1_s(const void * __restrict__ vx, dst_t * __restrict__ yy,
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const sycl::nd_item<3> &item_ct1,
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const uint64_t *iq1s_grid,
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const uint8_t *ksigns_iq2xs,
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const uint8_t *kmask_iq2xs) {
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const int i = item_ct1.get_group(2);
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const block_iq1_s * x = (const block_iq1_s *) vx;
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const int tid = item_ct1.get_local_id(2);
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#if QK_K == 256
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const int il = tid/8; // 0...3
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const int ib = tid%8; // 0...7
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dst_t * y = yy + i*QK_K + 32*ib + 8*il;
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const int i8 = 4*ib+il;
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uint8_t h = x[i].scales[i8/2] >> 4*(i8%2);
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const int8_t * grid = (const int8_t *)(iq1s_grid + (x[i].qs[i8] | ((h & 8) << 5)));
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const float d = (float)x[i].d * (2*(h & 7) + 1);
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for (int j = 0; j < 8; ++j) y[j] = d * grid[j];
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#else
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assert(false);
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#endif
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}
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/*
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DPCT1110:4: The total declared local variable size in device function
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dequantize_mul_mat_vec_q2_k exceeds 128 bytes and may cause high register
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@ -7679,6 +7760,76 @@ vec_dot_iq3_xxs_q8_1(const void *__restrict__ vbq,
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#endif
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}
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static __dpct_inline__ float
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vec_dot_iq3_s_q8_1(const void *__restrict__ vbq,
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const block_q8_1 *__restrict__ bq8_1, const int &iqs,
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const uint32_t *iq3s_grid, const uint64_t *ksigns64) {
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#if DPCT_COMPATIBILITY_TEMP >= \
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MIN_CC_DP4A // lowest compute capability for integer intrinsics
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#if QK_K == 256
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const block_iq3_s * bq2 = (const block_iq3_s *) vbq;
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const int ib32 = iqs;
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const uint8_t * qs = bq2->qs + 8*ib32;
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const int8_t * q8 = bq8_1[ib32].qs;
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int sumi = 0;
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for (int l = 0; l < 4; ++l) {
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const uint32_t * grid1 = iq3s_grid + (qs[2*l+0] | ((bq2->qh[ib32] << (8 - 2*l)) & 256));
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const uint32_t * grid2 = iq3s_grid + (qs[2*l+1] | ((bq2->qh[ib32] << (7 - 2*l)) & 256));
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uint32_t signs0 = dpct::vectorized_binary<sycl::uchar4>(
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((bq2->signs[4*ib32+l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201, std::equal_to<>());
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uint32_t signs1 = dpct::vectorized_binary<sycl::uchar4>(
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((bq2->signs[4*ib32+l] >> 4) * 0x01010101) & 0x08040201, 0x08040201, std::equal_to<>());
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const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
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grid1[0] ^ signs0, signs0, std::minus<>());
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const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
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grid2[0] ^ signs1, signs1, std::minus<>());
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sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi);
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sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi);
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q8 += 8;
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}
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const float d = (float)bq2->d * (1 + 2*((bq2->scales[ib32/2] >> 4*(ib32%2)) & 0xf)) * bq8_1[ib32].ds[0];
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return d * sumi;
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#else
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assert(false);
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return 0.f;
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#endif
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#else
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assert(false);
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return 0.f;
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#endif
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}
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static __dpct_inline__ float
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vec_dot_iq1_s_q8_1(const void *__restrict__ vbq,
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const block_q8_1 *__restrict__ bq8_1, const int &iqs,
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const uint64_t *iq1s_grid, const uint64_t *ksigns64) {
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#if QK_K == 256
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const block_iq1_s * bq1 = (const block_iq1_s *) vbq;
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const int ib32 = iqs;
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int sumi1 = 0, sumi2 = 0, sumi3 = 0, sumi4 = 0;
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const uint8_t h1 = bq1->scales[2*ib32+0];
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const uint8_t h2 = bq1->scales[2*ib32+1];
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const int * q8 = (const int *)bq8_1[ib32].qs;
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const int * grid1 = (const int *)(iq1s_grid + (bq1->qs[4*ib32+0] | ((h1 & 0x08) << 5)));
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const int * grid2 = (const int *)(iq1s_grid + (bq1->qs[4*ib32+1] | ((h1 & 0x80) << 1)));
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const int * grid3 = (const int *)(iq1s_grid + (bq1->qs[4*ib32+2] | ((h2 & 0x08) << 5)));
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const int * grid4 = (const int *)(iq1s_grid + (bq1->qs[4*ib32+3] | ((h2 & 0x80) << 1)));
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for (int j = 0; j < 2; ++j) {
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sumi1 = dpct::dp4a(q8[j+0], grid1[j], sumi1);
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sumi2 = dpct::dp4a(q8[j+2], grid2[j], sumi2);
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sumi3 = dpct::dp4a(q8[j+4], grid3[j], sumi3);
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sumi4 = dpct::dp4a(q8[j+6], grid4[j], sumi4);
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}
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const float d = (float)bq1->d * bq8_1[ib32].ds[0];
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return d * (sumi1 * (2*(h1 & 7) + 1) + sumi2 * (2*((h1 >> 4) & 7) + 1) +
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sumi3 * (2*(h2 & 7) + 1) + sumi4 * (2*((h2 >> 4) & 7) + 1));
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#else
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assert(false);
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return 0.f;
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#endif
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}
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template <int qk, int qr, int qi, bool need_sum, typename block_q_t, int mmq_x,
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int mmq_y, int nwarps, load_tiles_sycl_t load_tiles, int vdr,
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@ -8444,6 +8595,98 @@ static void mul_mat_vec_q_iq3_xxs_q8_1(const void * __restrict__ vx, const void
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}
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}
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template <int qk, int qi, typename block_q_t, int vdr>
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static void mul_mat_vec_q_iq3_s_q8_1(const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, const int ncols, const int nrows,
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const sycl::nd_item<3> &item_ct1,
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const uint32_t *iq3s_grid_ptr, const uint64_t *ksigns64_ptr ) {
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const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
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item_ct1.get_local_id(1);
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if (row >= nrows) {
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return;
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}
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const int blocks_per_row = ncols / qk;
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const int blocks_per_warp = vdr * WARP_SIZE / qi;
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// partial sum for each thread
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float tmp = 0.0f;
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const block_q_t * x = (const block_q_t *) vx;
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const block_q8_1 * y = (const block_q8_1 *) vy;
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for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
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i += blocks_per_warp) {
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const int ibx = row*blocks_per_row + i; // x block index
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const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
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const int iqs =
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vdr *
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(item_ct1.get_local_id(2) %
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(qi / vdr)); // x block quant index when casting the quants to int
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tmp += vec_dot_iq3_s_q8_1(&x[ibx], &y[iby], iqs, iq3s_grid_ptr, ksigns64_ptr);
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}
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// sum up partial sums and write back result
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#pragma unroll
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for (int mask = 16; mask > 0; mask >>= 1) {
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tmp +=
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dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
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}
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if (item_ct1.get_local_id(2) == 0) {
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dst[row] = tmp;
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}
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}
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template <int qk, int qi, typename block_q_t, int vdr>
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static void mul_mat_vec_q_iq1_s_q8_1(const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, const int ncols, const int nrows,
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const sycl::nd_item<3> &item_ct1,
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const uint64_t *iq1s_grid_ptr, const uint64_t *ksigns64_ptr ) {
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const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
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item_ct1.get_local_id(1);
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if (row >= nrows) {
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return;
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}
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const int blocks_per_row = ncols / qk;
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const int blocks_per_warp = vdr * WARP_SIZE / qi;
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// partial sum for each thread
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float tmp = 0.0f;
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const block_q_t * x = (const block_q_t *) vx;
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const block_q8_1 * y = (const block_q8_1 *) vy;
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for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
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i += blocks_per_warp) {
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const int ibx = row*blocks_per_row + i; // x block index
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const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
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const int iqs =
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vdr *
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(item_ct1.get_local_id(2) %
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(qi / vdr)); // x block quant index when casting the quants to int
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tmp += vec_dot_iq1_s_q8_1(&x[ibx], &y[iby], iqs, iq1s_grid_ptr, ksigns64_ptr);
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}
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// sum up partial sums and write back result
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#pragma unroll
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for (int mask = 16; mask > 0; mask >>= 1) {
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tmp +=
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dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
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}
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if (item_ct1.get_local_id(2) == 0) {
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dst[row] = tmp;
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}
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}
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template <int qk, int qr, dequantize_kernel_t dequantize_kernel>
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static void dequantize_mul_mat_vec(const void * __restrict__ vx, const dfloat * __restrict__ y, float * __restrict__ dst, const int ncols, const int nrows,
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const sycl::nd_item<3> &item_ct1) {
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@ -10129,6 +10372,64 @@ static void dequantize_row_iq3_xxs_sycl(const void *vx, dst_t *y, const int k,
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}
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}
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template <typename dst_t>
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static void dequantize_row_iq3_s_sycl(const void *vx, dst_t *y, const int k,
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dpct::queue_ptr stream) {
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const int nb = k / QK_K;
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{
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iq3s_grid.init(*stream);
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ksigns_iq2xs.init(*stream);
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kmask_iq2xs.init(*stream);
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dpct::has_capability_or_fail(stream->get_device(),
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{sycl::aspect::fp16});
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stream->submit([&](sycl::handler &cgh) {
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auto iq3s_grid_ptr_ct1 = iq3s_grid.get_ptr();
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auto ksigns_iq2xs_ptr_ct1 = ksigns_iq2xs.get_ptr();
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auto kmask_iq2xs_ptr_ct1 = kmask_iq2xs.get_ptr();
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cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
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sycl::range<3>(1, 1, 32),
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sycl::range<3>(1, 1, 32)),
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[=](sycl::nd_item<3> item_ct1) {
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dequantize_block_iq3_s(
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vx, y, item_ct1, iq3s_grid_ptr_ct1,
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ksigns_iq2xs_ptr_ct1, kmask_iq2xs_ptr_ct1);
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});
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});
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}
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}
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template <typename dst_t>
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static void dequantize_row_iq1_s_sycl(const void *vx, dst_t *y, const int k,
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dpct::queue_ptr stream) {
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const int nb = k / QK_K;
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{
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iq1s_grid.init(*stream);
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ksigns_iq2xs.init(*stream);
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kmask_iq2xs.init(*stream);
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dpct::has_capability_or_fail(stream->get_device(),
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{sycl::aspect::fp16});
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stream->submit([&](sycl::handler &cgh) {
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auto iq1s_grid_ptr_ct1 = iq1s_grid.get_ptr();
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auto ksigns_iq2xs_ptr_ct1 = ksigns_iq2xs.get_ptr();
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auto kmask_iq2xs_ptr_ct1 = kmask_iq2xs.get_ptr();
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cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
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sycl::range<3>(1, 1, 32),
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sycl::range<3>(1, 1, 32)),
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[=](sycl::nd_item<3> item_ct1) {
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dequantize_block_iq1_s(
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vx, y, item_ct1, iq1s_grid_ptr_ct1,
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ksigns_iq2xs_ptr_ct1, kmask_iq2xs_ptr_ct1);
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});
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});
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}
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}
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template <typename src_t, typename dst_t>
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static void convert_unary_sycl(const void *__restrict__ vx,
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dst_t *__restrict__ y, const int k,
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@ -10179,6 +10480,10 @@ static to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type) try {
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return dequantize_row_iq2_xs_sycl;
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case GGML_TYPE_IQ3_XXS:
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return dequantize_row_iq3_xxs_sycl;
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case GGML_TYPE_IQ3_S:
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return dequantize_row_iq3_s_sycl;
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case GGML_TYPE_IQ1_S:
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return dequantize_row_iq1_s_sycl;
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case GGML_TYPE_F32:
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return convert_unary_sycl<float>;
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default:
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@ -10219,6 +10524,10 @@ static to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type) {
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return dequantize_row_iq2_xs_sycl;
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case GGML_TYPE_IQ3_XXS:
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return dequantize_row_iq3_xxs_sycl;
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case GGML_TYPE_IQ3_S:
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return dequantize_row_iq3_s_sycl;
|
||||
case GGML_TYPE_IQ1_S:
|
||||
return dequantize_row_iq1_s_sycl;
|
||||
case GGML_TYPE_F16:
|
||||
return convert_unary_sycl<sycl::half>;
|
||||
default:
|
||||
@ -10808,6 +11117,61 @@ static void mul_mat_vec_iq3_xxs_q8_1_sycl(const void *vx, const void *vy,
|
||||
}
|
||||
}
|
||||
|
||||
static void mul_mat_vec_iq3_s_q8_1_sycl(const void *vx, const void *vy,
|
||||
float *dst, const int ncols,
|
||||
const int nrows,
|
||||
dpct::queue_ptr stream) {
|
||||
GGML_ASSERT(ncols % QK_K == 0);
|
||||
const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
|
||||
const sycl::range<3> block_nums(1, 1, block_num_y);
|
||||
const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
|
||||
{
|
||||
iq3s_grid.init(*stream);
|
||||
ksigns64.init(*stream);
|
||||
|
||||
stream->submit([&](sycl::handler &cgh) {
|
||||
auto iq3s_grid_ptr_ct1 = iq3s_grid.get_ptr();
|
||||
auto ksigns64_ptr_ct1 = ksigns64.get_ptr();
|
||||
|
||||
cgh.parallel_for(
|
||||
sycl::nd_range<3>(block_nums * block_dims, block_dims),
|
||||
[=](sycl::nd_item<3> item_ct1)
|
||||
[[intel::reqd_sub_group_size(32)]] {
|
||||
mul_mat_vec_q_iq3_s_q8_1<QK_K, QI3_XS, block_iq3_s, 1>(
|
||||
vx, vy, dst, ncols, nrows, item_ct1,
|
||||
iq3s_grid_ptr_ct1, ksigns64_ptr_ct1);
|
||||
});
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
static void mul_mat_vec_iq1_s_q8_1_sycl(const void *vx, const void *vy,
|
||||
float *dst, const int ncols,
|
||||
const int nrows,
|
||||
dpct::queue_ptr stream) {
|
||||
GGML_ASSERT(ncols % QK_K == 0);
|
||||
const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
|
||||
const sycl::range<3> block_nums(1, 1, block_num_y);
|
||||
const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
|
||||
{
|
||||
iq1s_grid.init(*stream);
|
||||
ksigns64.init(*stream);
|
||||
|
||||
stream->submit([&](sycl::handler &cgh) {
|
||||
auto iq1s_grid_ptr_ct1 = iq1s_grid.get_ptr();
|
||||
auto ksigns64_ptr_ct1 = ksigns64.get_ptr();
|
||||
|
||||
cgh.parallel_for(
|
||||
sycl::nd_range<3>(block_nums * block_dims, block_dims),
|
||||
[=](sycl::nd_item<3> item_ct1)
|
||||
[[intel::reqd_sub_group_size(32)]] {
|
||||
mul_mat_vec_q_iq1_s_q8_1<QK_K, QI1_S, block_iq1_s, 1>(
|
||||
vx, vy, dst, ncols, nrows, item_ct1,
|
||||
iq1s_grid_ptr_ct1, ksigns64_ptr_ct1);
|
||||
});
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
static void ggml_mul_mat_q4_0_q8_1_sycl(const void *vx, const void *vy,
|
||||
float *dst, const int ncols_x,
|
||||
@ -13556,8 +13920,11 @@ static int64_t get_row_rounding(ggml_type type, const std::array<float, GGML_SYC
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_IQ2_XXS:
|
||||
case GGML_TYPE_IQ2_XS:
|
||||
case GGML_TYPE_IQ1_S:
|
||||
case GGML_TYPE_IQ3_XXS:
|
||||
return max_compute_capability >= VER_GEN9 ? 128 : 64;
|
||||
case GGML_TYPE_IQ3_S:
|
||||
return max_compute_capability >= VER_GEN9 ? 128 : 64;
|
||||
case GGML_TYPE_Q6_K:
|
||||
return 64;
|
||||
default:
|
||||
@ -13618,6 +13985,12 @@ inline void ggml_sycl_op_mul_mat_vec_q(
|
||||
case GGML_TYPE_IQ3_XXS:
|
||||
mul_mat_vec_iq3_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
|
||||
break;
|
||||
case GGML_TYPE_IQ3_S:
|
||||
mul_mat_vec_iq3_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
|
||||
break;
|
||||
case GGML_TYPE_IQ1_S:
|
||||
mul_mat_vec_iq1_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
|
||||
break;
|
||||
default:
|
||||
GGML_ASSERT(false);
|
||||
break;
|
||||
@ -16963,9 +17336,8 @@ GGML_CALL static bool ggml_backend_sycl_supports_op(ggml_backend_t backend, cons
|
||||
return false;
|
||||
}
|
||||
ggml_type a_type = a->type;
|
||||
if (a_type == GGML_TYPE_IQ2_XXS || a_type == GGML_TYPE_IQ2_XS || a_type == GGML_TYPE_IQ3_XXS ||
|
||||
a_type == GGML_TYPE_IQ1_S || a_type == GGML_TYPE_IQ4_NL || a_type == GGML_TYPE_IQ3_S ||
|
||||
a_type == GGML_TYPE_IQ2_S || a_type == GGML_TYPE_IQ4_XS) {
|
||||
if (a_type == GGML_TYPE_IQ4_NL || a_type == GGML_TYPE_IQ2_S ||
|
||||
a_type == GGML_TYPE_IQ4_XS) {
|
||||
return false;
|
||||
}
|
||||
return true;
|
||||
|
||||
Loading…
Reference in New Issue
Block a user