44
44
#include " ggml-sycl/set_rows.hpp"
45
45
#include " ggml-sycl/sycl_hw.hpp"
46
46
#include " ggml-sycl/getrows.hpp"
47
+ #include " ggml-sycl/quantize.hpp"
47
48
#include " ggml.h"
48
49
49
50
static bool g_sycl_loaded = false ;
@@ -1373,120 +1374,6 @@ typedef void (*ggml_sycl_op_mul_mat_t)(
1373
1374
1374
1375
1375
1376
1376
- template <int QUANT_BLOCK_TILE>
1377
- static void quantize_q8_1 (const float * __restrict__ x, void * __restrict__ vy, const int kx, const int kx_padded,
1378
- const sycl::nd_item<3 > &item_ct1) {
1379
- const int ix = (item_ct1.get_local_range (2 ) * item_ct1.get_group (2 ) +
1380
- item_ct1.get_local_id (2 )) * QUANT_BLOCK_TILE;
1381
-
1382
- if (ix >= kx_padded) {
1383
- return ;
1384
- }
1385
-
1386
- const int iy = item_ct1.get_local_range (1 ) * item_ct1.get_group (1 ) +
1387
- item_ct1.get_local_id (1 );
1388
-
1389
- const int i_padded = iy*kx_padded + ix;
1390
-
1391
- block_q8_1 * y = (block_q8_1 *) vy;
1392
-
1393
- const int ib = i_padded / QK8_1; // block index
1394
- const int iqs = i_padded % QK8_1; // quant index
1395
- typedef sycl::vec<float , QUANT_BLOCK_TILE> TC;
1396
- typedef sycl::vec<int8_t , QUANT_BLOCK_TILE> TQ;
1397
- TC zeros;
1398
- TQ qzeros;
1399
- #pragma unroll
1400
- for (int i = 0 ; i < QUANT_BLOCK_TILE; i++)
1401
- {
1402
- zeros[i] = 0 .f ;
1403
- qzeros[i] = 0 ;
1404
- }
1405
- const TC xi = ix < kx ? *(const TC *)&x[iy * kx + ix] : zeros;
1406
- float sum = xi[0 ];
1407
- float amax = sycl::fabs (xi[0 ]);
1408
- #pragma unroll
1409
- for (int i = 1 ; i < QUANT_BLOCK_TILE; i++)
1410
- {
1411
- sum += xi[i];
1412
- amax = sycl::fmax (sycl::fabs (xi[i]), amax);
1413
- }
1414
- sum = warp_reduce_sum (sum, item_ct1);
1415
- amax = warp_reduce_max (amax, item_ct1);
1416
-
1417
- const float d = amax / 127 ;
1418
- TQ q = qzeros;
1419
- if (amax != 0 .0f )
1420
- {
1421
- #pragma unroll
1422
- for (int i = 0 ; i < QUANT_BLOCK_TILE; i++) {
1423
- q[i] = sycl::round (xi[i] / d);
1424
- }
1425
- }
1426
-
1427
- *(TQ *)&y[ib].qs [iqs] = q;
1428
-
1429
- if (iqs > 0 ) {
1430
- return ;
1431
- }
1432
-
1433
- reinterpret_cast <sycl::half &>(y[ib].ds .x ()) = d;
1434
- reinterpret_cast <sycl::half &>(y[ib].ds .y ()) = sum;
1435
- }
1436
-
1437
- template <int ElementsPerWI>
1438
- static __dpct_inline__ void quantize_and_reorder_q8_1 (const float * __restrict__ x, void * reordered_q8_tensor,
1439
- const int kx, const int kx_padded, const sycl::nd_item<1 > & it) {
1440
- /*
1441
- Quantizes and reorders the resultant q8 tensor in a per row fashion
1442
- Each sub-group calculates one quant block. i.e. QK8_1 quant values and the d and sum values
1443
- */
1444
-
1445
- auto subgroup_id = it.get_group (0 );
1446
- auto wi_id = it.get_local_id (0 );
1447
-
1448
- const int num_blocks_per_row = kx / QK8_1;
1449
- auto row = subgroup_id / num_blocks_per_row;
1450
- auto col = subgroup_id % num_blocks_per_row;
1451
-
1452
- auto row_offset = row * (kx_padded / QK8_1) * sizeof (block_q8_1);
1453
- auto col_offset = QK8_1 * col + wi_id * ElementsPerWI;
1454
-
1455
- auto quant_ptr = (int8_t *) ((char *) reordered_q8_tensor + row_offset + col_offset);
1456
- auto ds_ptr = (sycl::half2 *) ((char *) reordered_q8_tensor + row_offset + kx + col * sizeof (sycl::half2));
1457
-
1458
- sycl::vec<float , ElementsPerWI> wi_f32_vals;
1459
- sycl::vec<int8_t , ElementsPerWI> quantized_values;
1460
-
1461
- auto float_ptr_offset = subgroup_id * QK8_1 + ElementsPerWI * wi_id;
1462
- wi_f32_vals = *reinterpret_cast <const sycl::vec<float , ElementsPerWI> *>(x + float_ptr_offset);
1463
-
1464
- float sum = 0 .0f ;
1465
- float amax = 0 .0f ;
1466
-
1467
- #pragma unroll(ElementsPerWI)
1468
- for (int i = 0 ; i < ElementsPerWI; i++) {
1469
- sum += wi_f32_vals[i];
1470
- amax = sycl::fmax (amax, sycl::fabs (wi_f32_vals[i]));
1471
- quantized_values[i] = 0 ;
1472
- }
1473
- sum = sycl::reduce_over_group (it.get_group (), sum, sycl::plus<float >());
1474
- amax = sycl::reduce_over_group (it.get_group (), amax, sycl::maximum<float >());
1475
- float d = amax == 0 ? 1 : amax / 127 ;
1476
-
1477
- #pragma unroll(ElementsPerWI)
1478
- for (int i = 0 ; i < ElementsPerWI; i++) {
1479
- quantized_values[i] = sycl::round (wi_f32_vals[i] / d);
1480
- }
1481
-
1482
- d = amax == 0 ? 0 : d;
1483
-
1484
- *reinterpret_cast <sycl::vec<int8_t , ElementsPerWI> *>(quant_ptr) = quantized_values;
1485
- if (wi_id == 0 ) {
1486
- *ds_ptr = sycl::half2 (sycl::half (d), sycl::half (sum));
1487
- }
1488
- }
1489
-
1490
1377
static void mul_mat_p021_f16_f32 (
1491
1378
const void * __restrict__ vx, const float * __restrict__ y, float * __restrict__ dst,
1492
1379
const int ncols_x, const int nrows_x, const int nchannels_x, const int nchannels_y,
@@ -1770,32 +1657,6 @@ static void pool2d_nchw_kernel(
1770
1657
o_ptr[cur_oh * ow + cur_ow] = res;
1771
1658
}
1772
1659
1773
- static void quantize_row_q8_1_sycl (const float * x, void * vy, const int kx, const int ky, const int kx_padded,
1774
- bool reorder_q8_tensor, queue_ptr stream) {
1775
- if (reorder_q8_tensor) {
1776
- auto local_range = std::size_t (WARP_SIZE);
1777
- auto num_quant_blocks = ky * (kx / QK8_1);
1778
- auto global_range = num_quant_blocks * local_range;
1779
- stream->parallel_for (sycl::nd_range<1 >({ global_range }, { local_range }),
1780
- [=](sycl::nd_item<1 > it) [[sycl::reqd_sub_group_size (WARP_SIZE)]] {
1781
- quantize_and_reorder_q8_1<QK8_1 / WARP_SIZE>(x, vy, kx, kx_padded, it);
1782
- });
1783
- } else {
1784
- const int block_num_x = (kx_padded + SYCL_QUANTIZE_BLOCK_SIZE - 1 ) / SYCL_QUANTIZE_BLOCK_SIZE;
1785
- const sycl::range<3 > num_blocks (1 , ky, block_num_x);
1786
- int constexpr QUANT_BLOCK_TILE = QK8_1 / WARP_SIZE;
1787
- static_assert (QK8_1 % WARP_SIZE == 0 );
1788
- const sycl::range<3 > block_size (1 , 1 , SYCL_QUANTIZE_BLOCK_SIZE / QUANT_BLOCK_TILE);
1789
- {
1790
- dpct::has_capability_or_fail (stream->get_device (), { sycl::aspect::fp16 });
1791
-
1792
- stream->parallel_for (sycl::nd_range<3 >(num_blocks * block_size, block_size),
1793
- [=](sycl::nd_item<3 > item_ct1) [[sycl::reqd_sub_group_size (WARP_SIZE)]] {
1794
- quantize_q8_1<QUANT_BLOCK_TILE>(x, vy, kx, kx_padded, item_ct1);
1795
- });
1796
- }
1797
- }
1798
- }
1799
1660
1800
1661
static void ggml_mul_mat_p021_f16_f32_sycl (const void *vx, const float *y,
1801
1662
float *dst, const int ncols_x,
@@ -2372,10 +2233,10 @@ static void ggml_sycl_set_peer_access(const int n_tokens, int main_device) {
2372
2233
peer_access_enabled = enable_peer_access;
2373
2234
}
2374
2235
2236
+ template <template <int > typename quantize_f>
2375
2237
static void ggml_sycl_op_mul_mat (ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
2376
2238
const ggml_tensor *src1, ggml_tensor *dst,
2377
- ggml_sycl_op_mul_mat_t op,
2378
- const bool convert_src1_to_q8_1) try {
2239
+ ggml_sycl_op_mul_mat_t op) try {
2379
2240
2380
2241
GGML_TENSOR_LOCALS (int64_t , ne0, src0, ne);
2381
2242
@@ -2470,6 +2331,8 @@ static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_ten
2470
2331
}
2471
2332
}
2472
2333
2334
+ constexpr bool quantize_enabled = !std::is_same_v<quantize_f<QK8_1 / WARP_SIZE>,
2335
+ no_quantize_q8_1<QK8_1 / WARP_SIZE>>;
2473
2336
for (int i = 0 ; i < ggml_sycl_info ().device_count ; ++i) {
2474
2337
if ((!split && i != ctx.device ) || dev[i].row_low == dev[i].row_high ) {
2475
2338
continue ;
@@ -2495,20 +2358,19 @@ static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_ten
2495
2358
dev[i].src1_ddf = dev[i].src1_ddf_alloc .alloc (ctx.pool (i), ggml_nelements (src1));
2496
2359
}
2497
2360
2498
- if (convert_src1_to_q8_1 ) {
2361
+ if constexpr (quantize_enabled ) {
2499
2362
dev[i].src1_ddq = dev[i].src1_ddq_alloc .alloc (ctx.pool (i), nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs);
2500
2363
2501
2364
if (src1_on_device && src1_is_contiguous) {
2502
- bool reorder_q8_tensor = src0->extra && ((ggml_tensor_extra_gpu *)src0->extra )->optimized_feature .reorder ;
2503
2365
scope_op_debug_print scope_dbg_print (__func__, " /quantize_row_q8_1_sycl" , dst,
2504
2366
/* num_src=*/ 2 , " : converting src1 to Q8_1" );
2505
- quantize_row_q8_1_sycl (dev[i]. src1_ddf , dev[i]. src1_ddq , ne10, nrows1, src1_padded_col_size, reorder_q8_tensor, stream);
2506
- /*
2507
- DPCT1010:90: SYCL uses exceptions to report errors and does not
2508
- use the error codes. The call was replaced with 0. You need to
2509
- rewrite this code.
2510
- */
2511
- SYCL_CHECK ( 0 );
2367
+ try {
2368
+ quantize_row_q8_1_sycl<quantize_f>(dev[i]. src1_ddf , dev[i]. src1_ddq , ne10, nrows1, src1_padded_col_size, stream);
2369
+ } catch (sycl::exception const &exc) {
2370
+ std::cerr << " Quantize_row_q8_1_sycl error " << exc. what () << " Exception caught at file: " << __FILE__
2371
+ << " , line: " << __LINE__ << std::endl;
2372
+ std::exit ( 1 );
2373
+ }
2512
2374
}
2513
2375
}
2514
2376
@@ -2524,11 +2386,6 @@ static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_ten
2524
2386
// here an event is recorded that signals that the main device has finished calculating the input data
2525
2387
if (split && used_devices > 1 ) {
2526
2388
ggml_sycl_set_device (ctx.device );
2527
- /*
2528
- DPCT1024:91: The original code returned the error code that was further
2529
- consumed by the program logic. This original code was replaced with 0.
2530
- You may need to rewrite the program logic consuming the error code.
2531
- */
2532
2389
SYCL_CHECK (CHECK_TRY_ERROR (
2533
2390
*src0_extra->events [ctx.device ][0 ] =
2534
2391
ctx.stream ()->ext_oneapi_submit_barrier ()));
@@ -2552,11 +2409,6 @@ static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_ten
2552
2409
2553
2410
// wait for main GPU data if necessary
2554
2411
if (split && (i != ctx.device || is != 0 )) {
2555
- /*
2556
- DPCT1009:163: SYCL uses exceptions to report errors and does not
2557
- use the error codes. The original code was commented out and a
2558
- warning string was inserted. You need to rewrite this code.
2559
- */
2560
2412
SYCL_CHECK (CHECK_TRY_ERROR (stream->ext_oneapi_submit_barrier (
2561
2413
{*src0_extra->events [ctx.device ][0 ]})));
2562
2414
}
@@ -2582,39 +2434,42 @@ static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_ten
2582
2434
// copy src0, src1 to device if necessary
2583
2435
if (src1_is_contiguous) {
2584
2436
if (i != ctx.device ) {
2585
- if (convert_src1_to_q8_1 ) {
2437
+ if constexpr (quantize_enabled ) {
2586
2438
char * src1_ddq_i_source = dev[ctx.device ].src1_ddq + src1_ddq_i_offset;
2587
- SYCL_CHECK (CHECK_TRY_ERROR (stream->memcpy (
2588
- src1_ddq_i, src1_ddq_i_source,
2589
- src1_ncols * src1_padded_col_size * q8_1_ts /
2590
- q8_1_bs).wait ()));
2439
+ SYCL_CHECK (
2440
+ CHECK_TRY_ERROR (stream
2441
+ ->memcpy (src1_ddq_i, src1_ddq_i_source,
2442
+ src1_ncols * src1_padded_col_size * q8_1_ts / q8_1_bs)
2443
+ .wait ()));
2591
2444
} else {
2592
-
2593
2445
float * src1_ddf_i_source = (float *) src1_extra->data_device [ctx.device ];
2594
- src1_ddf_i_source += (i0* ne11 + src1_col_0) * ne10;
2446
+ src1_ddf_i_source += (i0 * ne11 + src1_col_0) * ne10;
2595
2447
2596
- SYCL_CHECK (CHECK_TRY_ERROR ( dev2dev_memcpy (*stream, *main_stream,
2597
- src1_ddf_i, src1_ddf_i_source,
2598
- src1_ncols * ne10 * sizeof (float ))));
2448
+ SYCL_CHECK (
2449
+ CHECK_TRY_ERROR ( dev2dev_memcpy (*stream, *main_stream, src1_ddf_i, src1_ddf_i_source,
2450
+ src1_ncols * ne10 * sizeof (float ))));
2599
2451
}
2600
2452
}
2601
- } else if (src1_on_device && !src1_is_contiguous) {
2602
- SYCL_CHECK (ggml_sycl_cpy_tensor_2d (
2603
- src1_ddf_i, src1, i03, i02, src1_col_0, src1_col_0+src1_ncols, stream));
2604
2453
} else {
2605
- GGML_ABORT (" fatal error" );
2606
- }
2454
+ if (src1_on_device) {
2455
+ SYCL_CHECK (ggml_sycl_cpy_tensor_2d (src1_ddf_i, src1, i03, i02, src1_col_0,
2456
+ src1_col_0 + src1_ncols, stream));
2457
+ } else {
2458
+ GGML_ABORT (" src1 is non-contiguous and not on device" );
2459
+ }
2607
2460
2608
- if (convert_src1_to_q8_1 && !src1_is_contiguous) {
2609
- scope_op_debug_print scope_dbg_print (__func__, " /quantize_row_q8_1_sycl" , dst,
2610
- /* num_src=*/ 2 , " : converting src1 to Q8_1" );
2611
- quantize_row_q8_1_sycl (src1_ddf_i, src1_ddq_i, ne10, src1_ncols, src1_padded_col_size, false , stream);
2612
- /*
2613
- DPCT1010:92: SYCL uses exceptions to report errors and does
2614
- not use the error codes. The call was replaced with 0. You
2615
- need to rewrite this code.
2616
- */
2617
- SYCL_CHECK (0 );
2461
+ if constexpr (quantize_enabled) {
2462
+ scope_op_debug_print scope_dbg_print (__func__, " /quantize_row_q8_1_sycl" , dst,
2463
+ /* num_src=*/ 2 , " : converting src1 to Q8_1" );
2464
+ try {
2465
+ quantize_row_q8_1_sycl<quantize_q8_1>(src1_ddf_i, src1_ddq_i, ne10, src1_ncols,
2466
+ src1_padded_col_size, stream);
2467
+ } catch (const sycl::exception & exc) {
2468
+ std::cerr << " Quantize_row_q8_1_sycl error" << exc.what ()
2469
+ << " Exception caught at file:" << __FILE__ << " , line:" << __LINE__ << std::endl;
2470
+ std::exit (1 );
2471
+ }
2472
+ }
2618
2473
}
2619
2474
2620
2475
if (src1_col_0 == 0 && !src0_is_contiguous && i02 % i02_divisor == 0 ) {
@@ -2626,12 +2481,6 @@ static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_ten
2626
2481
// do the computation
2627
2482
SYCL_CHECK (CHECK_TRY_ERROR (op (ctx, src0, src1, dst, src0_dd_i, src1_ddf_i, src1_ddq_i, dst_dd_i,
2628
2483
dev[i].row_low , dev[i].row_high , src1_ncols, src1_padded_col_size, stream)));
2629
- /*
2630
- DPCT1010:93: SYCL uses exceptions to report errors and does not
2631
- use the error codes. The call was replaced with 0. You need to
2632
- rewrite this code.
2633
- */
2634
- SYCL_CHECK (0 );
2635
2484
2636
2485
// copy dst to host or other device if necessary
2637
2486
if (!dst_on_device) {
@@ -2662,12 +2511,6 @@ static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_ten
2662
2511
2663
2512
// add event for the main device to wait on until other device is done
2664
2513
if (split && (i != ctx.device || is != 0 )) {
2665
- /*
2666
- DPCT1024:94: The original code returned the error code that
2667
- was further consumed by the program logic. This original
2668
- code was replaced with 0. You may need to rewrite the
2669
- program logic consuming the error code.
2670
- */
2671
2514
SYCL_CHECK (CHECK_TRY_ERROR (
2672
2515
*src0_extra->events [i][is] =
2673
2516
stream->ext_oneapi_submit_barrier ()));
@@ -3351,19 +3194,20 @@ static void ggml_sycl_mul_mat(ggml_backend_sycl_context & ctx, const ggml_tensor
3351
3194
// KQ + KQV multi-batch
3352
3195
ggml_sycl_mul_mat_batched_sycl (ctx, src0, src1, dst);
3353
3196
} else if (use_dequantize_mul_mat_vec) {
3354
- constexpr bool convert_src1_to_q8_1 = false ;
3355
3197
opt_for_reorder (&ctx, src0, src1, dst, mul_mat_algo::DMMV);
3356
- ggml_sycl_op_mul_mat (ctx, src0, src1, dst, ggml_sycl_op_dequantize_mul_mat_vec, convert_src1_to_q8_1 );
3198
+ ggml_sycl_op_mul_mat<no_quantize_q8_1> (ctx, src0, src1, dst, ggml_sycl_op_dequantize_mul_mat_vec);
3357
3199
} else if (use_mul_mat_vec_q) {
3358
- constexpr bool convert_src1_to_q8_1 = true ;
3359
3200
opt_for_reorder (&ctx, src0, src1, dst, mul_mat_algo::MMVQ);
3360
- ggml_sycl_op_mul_mat (ctx, src0, src1, dst, ggml_sycl_op_mul_mat_vec_q, convert_src1_to_q8_1);
3201
+ ggml_tensor_extra_gpu * extra = static_cast <ggml_tensor_extra_gpu *>(src0->extra );
3202
+ if (extra && extra->optimized_feature .reorder ) {
3203
+ ggml_sycl_op_mul_mat<quantize_and_reorder_q8_1_soa>(ctx, src0, src1, dst, ggml_sycl_op_mul_mat_vec_q);
3204
+ } else {
3205
+ ggml_sycl_op_mul_mat<quantize_q8_1>(ctx, src0, src1, dst, ggml_sycl_op_mul_mat_vec_q);
3206
+ }
3361
3207
} else if (use_mul_mat_q) {
3362
- constexpr bool convert_src1_to_q8_1 = true ;
3363
- ggml_sycl_op_mul_mat (ctx, src0, src1, dst, ggml_sycl_op_mul_mat_q, convert_src1_to_q8_1);
3208
+ ggml_sycl_op_mul_mat<quantize_q8_1>(ctx, src0, src1, dst, ggml_sycl_op_mul_mat_q);
3364
3209
} else {
3365
- constexpr bool convert_src1_to_q8_1 = false ;
3366
- ggml_sycl_op_mul_mat (ctx, src0, src1, dst, ggml_sycl_op_mul_mat_sycl, convert_src1_to_q8_1);
3210
+ ggml_sycl_op_mul_mat<no_quantize_q8_1>(ctx, src0, src1, dst, ggml_sycl_op_mul_mat_sycl);
3367
3211
}
3368
3212
}
3369
3213
0 commit comments