ci : make release workflows use a deply key

sync : ggml
ggml : bump version to 0.20.1 (ggml/1587)
2026-08-18 02:32:40 +02:00 · 2026-08-17 09:58:11 +03:00 · 2026-08-17 09:50:06 +03:00 · 2026-08-17 09:50:06 +03:00 · 2026-08-17 07:33:24 +03:00 · 2026-08-17 07:32:16 +03:00
15 changed files with 931 additions and 20156 deletions
@@ -22,6 +22,8 @@ jobs:
    steps:
      - name: Checkout
        uses: actions/checkout@v6
+        with:
+          ssh-key: ${{ secrets.DEPLOY_KEY_RELEASE }}

      - name: Run release checks
        id: checks
@@ -42,5 +44,10 @@ jobs:
      - name: Dry run summary
        if: ${{ github.event.inputs.dry_run == 'true' }}
        run: |
-          echo "Dry run complete - all checks passed."
-          echo "Would have created tag: ${{ steps.checks.outputs.version }}"
+          if [[ "${{ steps.checks.outputs.checks_passed }}" == "true" ]]; then
+            echo "Dry run complete - all checks passed."
+            echo "Would have created tag: ${{ steps.checks.outputs.version }}"
+          else
+            echo "::error::Dry run found release check failures. A release tag would not be created."
+            exit 1
+          fi
@@ -1598,6 +1598,7 @@ jobs:
        uses: actions/checkout@v6
        with:
          fetch-depth: 0
+          ssh-key: ${{ secrets.DEPLOY_KEY_RELEASE }}

      - name: Determine tag name
        id: tag
@@ -77,8 +77,8 @@ Legend:
 |                       MUL_MAT_ID | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ✅ | 🟡 | 🟡 | ❌ |
 |                              NEG | ❌ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                             NORM | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | 🟡 | ❌ | ❌ |
-|                   OPT_STEP_ADAMW | ❌ | ❌ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                     OPT_STEP_SGD | ❌ | ❌ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
+|                   OPT_STEP_ADAMW | ❌ | ❌ | ✅ | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
+|                     OPT_STEP_SGD | ❌ | ❌ | ✅ | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                         OUT_PROD | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | 🟡 |
 |                              PAD | ❌ | 🟡 | ✅ | 🟡 | ❌ | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ |
 |                   PAD_REFLECT_1D | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
@@ -98,7 +98,7 @@ Legend:
 |                        RWKV_WKV7 | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                            SCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                              SET | ❌ | ❌ | ✅ | ✅ | ❌ | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ |
-|                         SET_ROWS | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
+|                         SET_ROWS | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | 🟡 | ❌ | ❌ |
 |                              SGN | ❌ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                          SIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                             SILU | ❌ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ | ❌ |
@@ -4,6 +4,6 @@
 #  Copyright (C) 2026 Intel Corporation
 #  SPDX-License-Identifier: MIT

-./build/bin/test-backend-ops support --output csv > docs/ops/SYCL.csv
+./build/bin/test-backend-ops -b SYCL0 support --output csv > docs/ops/SYCL.csv
 ./scripts/create_ops_docs.py

@@ -5,7 +5,7 @@ project("ggml" C CXX ASM)
 ### GGML Version
 set(GGML_VERSION_MAJOR 0)
 set(GGML_VERSION_MINOR 20)
-set(GGML_VERSION_PATCH 0)
+set(GGML_VERSION_PATCH 1)
 set(GGML_VERSION_BASE "${GGML_VERSION_MAJOR}.${GGML_VERSION_MINOR}.${GGML_VERSION_PATCH}")

 list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/")
@@ -349,8 +349,9 @@ static void ggml_cpy_f32_q8_0_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
    GGML_ASSERT(ne % QK8_0 == 0);
-    const int num_blocks = ne / QK8_0;
-    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+    const int num_blocks = ceil_div(ne / QK8_0, SYCL_CPY_BLOCK_SIZE);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
                         [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
                             cpy_f32_q<cpy_blck_f32_q8_0, QK8_0>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03,
                                                                 ne10, ne11, ne12, nb10, nb11, nb12, nb13, item_ct1);
@@ -361,8 +362,10 @@ static void ggml_cpy_q8_0_f32_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ne;
-    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+    GGML_ASSERT(ne % QK8_0 == 0);
+    const int num_blocks = ceil_div(ne / QK8_0, SYCL_CPY_BLOCK_SIZE);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
                         [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
                             cpy_q_f32<cpy_blck_q8_0_f32, QK8_0>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03,
                                                                 ne10, ne11, ne12, nb10, nb11, nb12, nb13, item_ct1);
@@ -373,9 +376,11 @@ static void ggml_cpy_q2_0_f32_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ne;
+    GGML_ASSERT(ne % QK2_0 == 0);
+    const int num_blocks = ceil_div(ne / QK2_0, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
-        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                          sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
            cpy_q_f32<cpy_blck_q2_0_f32, QK2_0>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11,
                                                ne12, nb10, nb11, nb12, nb13, item_ct1);
@@ -387,8 +392,9 @@ static void ggml_cpy_f32_q4_0_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
    GGML_ASSERT(ne % QK4_0 == 0);
-    const int num_blocks = ne / QK4_0;
-    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+    const int num_blocks = ceil_div(ne / QK4_0, SYCL_CPY_BLOCK_SIZE);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
                         [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
                             cpy_f32_q<cpy_blck_f32_q4_0, QK4_0>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03,
                                                                 ne10, ne11, ne12, nb10, nb11, nb12, nb13, item_ct1);
@@ -399,9 +405,11 @@ static void ggml_cpy_q4_0_f32_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ne;
+    GGML_ASSERT(ne % QK4_0 == 0);
+    const int num_blocks = ceil_div(ne / QK4_0, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
-        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                          sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
            cpy_q_f32<cpy_blck_q_f32<dequantize_q4_0, QK4_0>, QK4_0>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02,
                                                                     nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13,
@@ -414,8 +422,9 @@ static void ggml_cpy_f32_q4_1_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
    GGML_ASSERT(ne % QK4_1 == 0);
-    const int num_blocks = ne / QK4_1;
-    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+    const int num_blocks = ceil_div(ne / QK4_1, SYCL_CPY_BLOCK_SIZE);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
                         [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
                             cpy_f32_q<cpy_blck_f32_q4_1, QK4_1>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03,
                                                                 ne10, ne11, ne12, nb10, nb11, nb12, nb13, item_ct1);
@@ -426,9 +435,11 @@ static void ggml_cpy_q4_1_f32_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ne;
+    GGML_ASSERT(ne % QK4_1 == 0);
+    const int num_blocks = ceil_div(ne / QK4_1, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
-        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                          sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
            cpy_q_f32<cpy_blck_q_f32<dequantize_q4_1, QK4_1>, QK4_1>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02,
                                                                     nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13,
@@ -441,8 +452,9 @@ static void ggml_cpy_f32_q5_0_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
    GGML_ASSERT(ne % QK5_0 == 0);
-    const int num_blocks = ne / QK5_0;
-    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+    const int num_blocks = ceil_div(ne / QK5_0, SYCL_CPY_BLOCK_SIZE);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
                         [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
                             cpy_f32_q<cpy_blck_f32_q5_0, QK5_0>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03,
                                                                 ne10, ne11, ne12, nb10, nb11, nb12, nb13, item_ct1);
@@ -453,9 +465,11 @@ static void ggml_cpy_q5_0_f32_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ne;
+    GGML_ASSERT(ne % QK5_0 == 0);
+    const int num_blocks = ceil_div(ne / QK5_0, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
-        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                          sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
            cpy_q_f32<cpy_blck_q_f32<dequantize_q5_0, QK5_0>, QK5_0>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02,
                                                                     nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13,
@@ -468,8 +482,9 @@ static void ggml_cpy_f32_q5_1_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
    GGML_ASSERT(ne % QK5_1 == 0);
-    const int num_blocks = ne / QK5_1;
-    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+    const int num_blocks = ceil_div(ne / QK5_1, SYCL_CPY_BLOCK_SIZE);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
                         [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
                             cpy_f32_q<cpy_blck_f32_q5_1, QK5_1>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03,
                                                                 ne10, ne11, ne12, nb10, nb11, nb12, nb13, item_ct1);
@@ -480,9 +495,11 @@ static void ggml_cpy_q5_1_f32_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ne;
+    GGML_ASSERT(ne % QK5_1 == 0);
+    const int num_blocks = ceil_div(ne / QK5_1, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
-        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                          sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
            cpy_q_f32<cpy_blck_q_f32<dequantize_q5_1, QK5_1>, QK5_1>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02,
                                                                     nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13,
@@ -494,9 +511,11 @@ static void ggml_cpy_mxfp4_f32_sycl(const char * cx, char * cdst, const int ne,
                                    const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                    const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                    const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ne;
+    GGML_ASSERT(ne % QK_MXFP4 == 0);
+    const int num_blocks = ceil_div(ne / QK_MXFP4, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
-        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                          sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
            cpy_q_f32<cpy_blck_q_f32<dequantize_mxfp4, QK_MXFP4>, QK_MXFP4>(cx, cdst, ne, ne00, ne01, ne02, nb00,
                                                                             nb01, nb02, nb03, ne10, ne11, ne12,
@@ -509,9 +528,10 @@ static void ggml_cpy_f32_iq4_nl_sycl(const char * cx, char * cdst, const int ne,
                                     const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                     const int nb12, const int nb13, queue_ptr stream) {
    GGML_ASSERT(ne % QK4_NL == 0);
-    const int num_blocks = ne / QK4_NL;
+    const int num_blocks = ceil_div(ne / QK4_NL, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
-        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                          sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
            cpy_f32_q<cpy_blck_f32_iq4_nl, QK4_NL>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11,
                                                   ne12, nb10, nb11, nb12, nb13, item_ct1);
@@ -556,8 +576,9 @@ static void ggml_cpy_f16_q4_0_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
    GGML_ASSERT(ne % QK4_0 == 0);
-    const int num_blocks = ne / QK4_0;
-    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+    const int num_blocks = ceil_div(ne / QK4_0, SYCL_CPY_BLOCK_SIZE);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
                         [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
                             cpy_f32_q<cpy_blck_f16_q4_0, QK4_0>(cx, cdst, ne, ne00, ne01, ne02,
                                                                 nb00, nb01, nb02, nb03,
@@ -570,8 +591,9 @@ static void ggml_cpy_f16_q4_1_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
    GGML_ASSERT(ne % QK4_1 == 0);
-    const int num_blocks = ne / QK4_1;
-    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+    const int num_blocks = ceil_div(ne / QK4_1, SYCL_CPY_BLOCK_SIZE);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
                         [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
                             cpy_f32_q<cpy_blck_f16_q4_1, QK4_1>(cx, cdst, ne, ne00, ne01, ne02,
                                                                 nb00, nb01, nb02, nb03,
@@ -584,8 +606,9 @@ static void ggml_cpy_f16_q5_0_sycl(const char * cx, char * cdst, const int ne, c
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
    GGML_ASSERT(ne % QK5_0 == 0);
-    const int num_blocks = ne / QK5_0;
-    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks), sycl::range<3>(1, 1, 1)),
+    const int num_blocks = ceil_div(ne / QK5_0, SYCL_CPY_BLOCK_SIZE);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
+                                           sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
                         [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
                             cpy_f32_q<cpy_blck_f16_q5_0, QK5_0>(cx, cdst, ne, ne00, ne01, ne02,
                                                                 nb00, nb01, nb02, nb03,
@@ -849,7 +872,8 @@ static void ggml_cpy_q8_0_q8_0(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK8_0 == 0);
+    const int num_blocks = ceil_div(ne / QK8_0, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
                              sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
@@ -863,7 +887,8 @@ static void ggml_cpy_q5_0_q5_0(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK5_0 == 0);
+    const int num_blocks = ceil_div(ne / QK5_0, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
                              sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
@@ -877,7 +902,8 @@ static void ggml_cpy_q5_1_q5_1(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK5_1 == 0);
+    const int num_blocks = ceil_div(ne / QK5_1, SYCL_CPY_BLOCK_SIZE);

    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE),
@@ -892,7 +918,8 @@ static void ggml_cpy_q4_0_q4_0(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK4_0 == 0);
+    const int num_blocks = ceil_div(ne / QK4_0, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -906,8 +933,9 @@ static void ggml_cpy_q4_1_q4_1(const char * cx, char * cdst, const int ne, const
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {

-   const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
-   stream->parallel_for(
+    GGML_ASSERT(ne % QK4_1 == 0);
+    const int num_blocks = ceil_div(ne / QK4_1, SYCL_CPY_BLOCK_SIZE);
+    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
            cpy_q_q<block_q4_1, QK4_1>(cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, item_ct1);
@@ -918,7 +946,8 @@ static void ggml_cpy_q1_0_q1_0(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK1_0 == 0);
+    const int num_blocks = ceil_div(ne / QK1_0, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
@@ -930,7 +959,8 @@ static void ggml_cpy_q2_0_q2_0(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK2_0 == 0);
+    const int num_blocks = ceil_div(ne / QK2_0, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -942,7 +972,8 @@ static void ggml_cpy_mxfp4_mxfp4(const char * cx, char * cdst, const int ne, con
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_MXFP4 == 0);
+    const int num_blocks = ceil_div(ne / QK_MXFP4, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
@@ -954,7 +985,8 @@ static void ggml_cpy_nvfp4_nvfp4(const char * cx, char * cdst, const int ne, con
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_NVFP4 == 0);
+    const int num_blocks = ceil_div(ne / QK_NVFP4, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -966,7 +998,8 @@ static void ggml_cpy_q2_K_q2_K(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -978,7 +1011,8 @@ static void ggml_cpy_q3_K_q3_K(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -990,7 +1024,8 @@ static void ggml_cpy_q4_K_q4_K(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1002,7 +1037,8 @@ static void ggml_cpy_q5_K_q5_K(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1014,7 +1050,8 @@ static void ggml_cpy_q6_K_q6_K(const char * cx, char * cdst, const int ne, const
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1026,7 +1063,8 @@ static void ggml_cpy_iq2_xxs_iq2_xxs(const char * cx, char * cdst, const int ne,
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1038,7 +1076,8 @@ static void ggml_cpy_iq2_xs_iq2_xs(const char * cx, char * cdst, const int ne, c
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1050,7 +1089,8 @@ static void ggml_cpy_iq2_s_iq2_s(const char * cx, char * cdst, const int ne, con
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1062,7 +1102,8 @@ static void ggml_cpy_iq3_xxs_iq3_xxs(const char * cx, char * cdst, const int ne,
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1074,7 +1115,8 @@ static void ggml_cpy_iq1_s_iq1_s(const char * cx, char * cdst, const int ne, con
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1086,7 +1128,8 @@ static void ggml_cpy_iq1_m_iq1_m(const char * cx, char * cdst, const int ne, con
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1098,7 +1141,8 @@ static void ggml_cpy_iq4_nl_iq4_nl(const char * cx, char * cdst, const int ne, c
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK4_NL == 0);
+    const int num_blocks = ceil_div(ne / QK4_NL, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1110,7 +1154,8 @@ static void ggml_cpy_iq3_s_iq3_s(const char * cx, char * cdst, const int ne, con
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -1122,7 +1167,8 @@ static void ggml_cpy_iq4_xs_iq4_xs(const char * cx, char * cdst, const int ne, c
                                   const int ne02, const int nb00, const int nb01, const int nb02, const int nb03,
                                   const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
                                   const int nb12, const int nb13, queue_ptr stream) {
-    const int num_blocks = ceil_div(ne, SYCL_CPY_BLOCK_SIZE);
+    GGML_ASSERT(ne % QK_K == 0);
+    const int num_blocks = ceil_div(ne / QK_K, SYCL_CPY_BLOCK_SIZE);
    stream->parallel_for(
        sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE), sycl::range<3>(1, 1, SYCL_CPY_BLOCK_SIZE)),
        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
@@ -77,6 +77,7 @@
 #include "ggml-sycl/fill.hpp"
 #include "ggml-sycl/cumsum.hpp"
 #include "ggml-sycl/diag.hpp"
+#include "ggml-sycl/opt-step.hpp"
 #include "ggml-sycl/solve_tri.hpp"
 #include "ggml-sycl/gated_delta_net.hpp"
 #include "ggml-sycl/pool.hpp"
@@ -5355,6 +5356,12 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg
        case GGML_OP_GATED_DELTA_NET:
            ggml_sycl_gated_delta_net(ctx, dst);
            break;
+        case GGML_OP_OPT_STEP_ADAMW:
+            ggml_sycl_opt_step_adamw(ctx, dst);
+            break;
+        case GGML_OP_OPT_STEP_SGD:
+            ggml_sycl_opt_step_sgd(ctx, dst);
+            break;
        case GGML_OP_SSM_CONV:
            ggml_sycl_ssm_conv(ctx, dst);
            break;
@@ -6263,6 +6270,8 @@ static bool do_ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, cons
        case GGML_OP_RWKV_WKV7:
        case GGML_OP_GATED_LINEAR_ATTN:
        case GGML_OP_GATED_DELTA_NET:
+        case GGML_OP_OPT_STEP_ADAMW:
+        case GGML_OP_OPT_STEP_SGD:
            return true;
        case GGML_OP_SSM_CONV:
            return op->type == GGML_TYPE_F32 &&
@@ -0,0 +1,131 @@
+#include "opt-step.hpp"
+
+#define SYCL_OPT_STEP_BLOCK_SIZE 256
+
+template <typename T>
+static void opt_step_adamw_f32_kernel(
+    T * __restrict__ x,
+    const T * __restrict__ g,
+    T * __restrict__ g_m,
+    T * __restrict__ g_v,
+    const T * __restrict__ pars,
+    const int64_t k,
+    const sycl::nd_item<1> & item) {
+
+    const int64_t i = (int64_t) item.get_global_id(0);
+    if (i >= k) {
+        return;
+    }
+
+    const float alpha  = pars[0];
+    const float beta1  = pars[1];
+    const float beta2  = pars[2];
+    const float eps    = pars[3];
+    const float wd     = pars[4];
+    const float beta1h = pars[5];
+    const float beta2h = pars[6];
+
+    const float gi  = g[i];
+    const float gmi = g_m[i] * beta1 +      gi * (1.0f - beta1);
+    const float gvi = g_v[i] * beta2 + gi * gi * (1.0f - beta2);
+
+    g_m[i] = gmi;
+    g_v[i] = gvi;
+
+    const float mh = gmi * beta1h;
+    const float vh = sycl::sqrt(gvi * beta2h) + eps;
+
+    x[i] = x[i] * (1.0f - alpha * wd) - alpha * mh / vh;
+}
+
+template <typename T>
+static void opt_step_sgd_f32_kernel(
+    T * __restrict__ x,
+    const T * __restrict__ g,
+    const T * __restrict__ pars,
+    const int64_t k,
+    const sycl::nd_item<1> & item) {
+
+    const int64_t i = (int64_t) item.get_global_id(0);
+    if (i >= k) {
+        return;
+    }
+
+    x[i] = x[i] * (1.0f - pars[0] * pars[1]) - pars[0] * g[i];
+}
+
+void ggml_sycl_opt_step_adamw(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/5);
+
+    const ggml_tensor * src0         = dst->src[0];
+    const ggml_tensor * src0_grad    = dst->src[1];
+    const ggml_tensor * src0_grad_m  = dst->src[2];
+    const ggml_tensor * src0_grad_v  = dst->src[3];
+    const ggml_tensor * adamw_params = dst->src[4];
+
+    GGML_ASSERT(src0->type         == GGML_TYPE_F32);
+    GGML_ASSERT(src0_grad->type    == GGML_TYPE_F32);
+    GGML_ASSERT(src0_grad_m->type  == GGML_TYPE_F32);
+    GGML_ASSERT(src0_grad_v->type  == GGML_TYPE_F32);
+    GGML_ASSERT(adamw_params->type == GGML_TYPE_F32);
+    GGML_ASSERT(ggml_is_contiguous(src0));
+    GGML_ASSERT(ggml_is_contiguous(src0_grad));
+    GGML_ASSERT(ggml_is_contiguous(src0_grad_m));
+    GGML_ASSERT(ggml_is_contiguous(src0_grad_v));
+    GGML_ASSERT(ggml_is_contiguous(adamw_params));
+    GGML_ASSERT(ggml_are_same_shape(src0, src0_grad));
+    GGML_ASSERT(ggml_are_same_shape(src0, src0_grad_m));
+    GGML_ASSERT(ggml_are_same_shape(src0, src0_grad_v));
+    GGML_ASSERT(ggml_nelements(adamw_params) == 7);
+
+    dpct::queue_ptr stream = ctx.stream();
+    SYCL_CHECK(ggml_sycl_set_device(ctx.device));
+
+    float       * src0_d         = (float       *) src0->data;
+    const float * src0_grad_d    = (const float *) src0_grad->data;
+    float       * src0_grad_m_d  = (float       *) src0_grad_m->data;
+    float       * src0_grad_v_d  = (float       *) src0_grad_v->data;
+    const float * adamw_params_d = (const float *) adamw_params->data;
+
+    const int64_t ne = ggml_nelements(src0);
+    const int64_t num_blocks = (ne + SYCL_OPT_STEP_BLOCK_SIZE - 1) / SYCL_OPT_STEP_BLOCK_SIZE;
+
+    stream->parallel_for(
+        sycl::nd_range<1>(num_blocks * SYCL_OPT_STEP_BLOCK_SIZE, SYCL_OPT_STEP_BLOCK_SIZE),
+        [=](sycl::nd_item<1> item) {
+            opt_step_adamw_f32_kernel(src0_d, src0_grad_d, src0_grad_m_d, src0_grad_v_d, adamw_params_d, ne, item);
+        });
+}
+
+void ggml_sycl_opt_step_sgd(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/3);
+
+    const ggml_tensor * src0       = dst->src[0];
+    const ggml_tensor * src0_grad  = dst->src[1];
+    const ggml_tensor * sgd_params = dst->src[2];
+
+    GGML_ASSERT(src0->type      == GGML_TYPE_F32);
+    GGML_ASSERT(src0_grad->type == GGML_TYPE_F32);
+    GGML_ASSERT(sgd_params->type == GGML_TYPE_F32);
+    GGML_ASSERT(ggml_is_contiguous(src0));
+    GGML_ASSERT(ggml_is_contiguous(src0_grad));
+    GGML_ASSERT(ggml_is_contiguous(sgd_params));
+    GGML_ASSERT(ggml_are_same_shape(src0, src0_grad));
+    GGML_ASSERT(ggml_nelements(sgd_params) == 2);
+
+    dpct::queue_ptr stream = ctx.stream();
+    SYCL_CHECK(ggml_sycl_set_device(ctx.device));
+
+    float       * src0_d      = (float       *) src0->data;
+    const float * src0_grad_d = (const float *) src0_grad->data;
+    const float * sgd_params_d = (const float *) sgd_params->data;
+
+    const int64_t ne = ggml_nelements(src0);
+    const int64_t num_blocks = (ne + SYCL_OPT_STEP_BLOCK_SIZE - 1) / SYCL_OPT_STEP_BLOCK_SIZE;
+
+    stream->parallel_for(
+        sycl::nd_range<1>(num_blocks * SYCL_OPT_STEP_BLOCK_SIZE, SYCL_OPT_STEP_BLOCK_SIZE),
+        [=](sycl::nd_item<1> item) {
+            opt_step_sgd_f32_kernel(src0_d, src0_grad_d, sgd_params_d, ne, item);
+        });
+}
@@ -0,0 +1,6 @@
+#pragma once
+
+#include "common.hpp"
+
+void ggml_sycl_opt_step_adamw(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
+void ggml_sycl_opt_step_sgd(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
@@ -11,6 +11,7 @@ SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
 REPO_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)"

 DRY_RUN=false
+CHECKS_PASSED=true
 for arg in "$@"; do
    case "$arg" in
        --dry-run) DRY_RUN=true ;;
@@ -44,6 +45,7 @@ else
    if [[ "$RUNS" -eq 0 ]]; then
        if [[ "$DRY_RUN" == "true" ]]; then
            echo "Warning: no successful release.yml run found for HEAD (${SHA}) (dry run, continuing)."
+            CHECKS_PASSED=false
        else
            echo "Error: no successful release.yml run found for HEAD (${SHA})"
            echo "The nightly build must complete successfully before making a release."
@@ -73,6 +75,7 @@ else
        echo "$DIFF"
        if [[ "$DRY_RUN" == "true" ]]; then
            echo "Warning: would abort release due to ggml mismatch (dry run, continuing)."
+            CHECKS_PASSED=false
        else
            echo "Error: ggml must match upstream before making a release."
            exit 1
@@ -81,3 +84,7 @@ else
        echo "local ggml/ matches upstream ${GGML_VERSION}"
    fi
 fi
+
+if [[ -n "${GITHUB_OUTPUT:-}" ]]; then
+    echo "checks_passed=${CHECKS_PASSED}" >> "$GITHUB_OUTPUT"
+fi
@@ -1 +1 @@
-2d191b5dee1a591c41ee8a653ce42bfcd9c8716d
+3834fd814e74e8af277939dabd69ecc780affd21
@@ -180,10 +180,11 @@ llama_model_deepseek32::graph::graph(const llama_model & model, const llm_graph_

    const int64_t n_indexer_head = hparams.indexer_n_head;
    const int64_t n_embd_indexer_head = hparams.indexer_head_size;
-    const int64_t n_embd_indexer_head_rope = hparams.n_rot();
-    const int64_t n_embd_indexer_head_nope = n_embd_indexer_head - n_embd_indexer_head_rope;
    const uint32_t n_indexer_top_k = hparams.indexer_top_k;

+    // the indexer head layous is [rope | nope]
+    GGML_ASSERT(hparams.n_rot() <= n_embd_indexer_head);
+
    const uint32_t kv_lora_rank = hparams.n_lora_kv;

    // We have to pre-scale kq_scale and attn_factor to make the YaRN RoPE work correctly.
@@ -233,28 +234,11 @@ llama_model_deepseek32::graph::graph(const llama_model & model, const llm_graph_
                ggml_tensor * indexer_q = ggml_mul_mat(ctx0, model.layers[il].indexer_attn_q_b, qr);
                cb(indexer_q, "indexer_q", il);

-                // split into {n_embd_indexer_head_rope, n_indexer_head, n_tokens}
-                ggml_tensor * indexer_q_pe =
-                    ggml_view_3d(ctx0, indexer_q, n_embd_indexer_head_rope, n_indexer_head, n_tokens,
-                                 ggml_row_size(indexer_q->type, n_embd_indexer_head),
-                                 ggml_row_size(indexer_q->type, n_embd_indexer_head) * n_indexer_head, 0);
-                cb(indexer_q_pe, "indexer_q_pe", il);
-
-                // and {n_embd_indexer_head_nope, n_indexer_head, n_tokens}
-                ggml_tensor * indexer_q_nope =
-                    ggml_view_3d(ctx0, indexer_q, n_embd_indexer_head_nope, n_indexer_head, n_tokens,
-                                 ggml_row_size(indexer_q->type, n_embd_indexer_head),
-                                 ggml_row_size(indexer_q->type, n_embd_indexer_head) * n_indexer_head,
-                                 ggml_row_size(indexer_q->type, n_embd_indexer_head_nope));
-                cb(indexer_q_nope, "indexer_q_nope", il);
-
-                indexer_q_pe = ggml_rope_ext(ctx0, indexer_q_pe, inp_pos, nullptr, n_rot,
+                // {n_embd_indexer_head, n_indexer_head, n_tokens}
+                indexer_q = ggml_reshape_3d(ctx0, indexer_q, n_embd_indexer_head, n_indexer_head, n_tokens);
+                indexer_q = ggml_rope_ext(ctx0, indexer_q, inp_pos, nullptr, n_rot,
                                     LLAMA_ROPE_TYPE_NEOX, n_ctx_orig, freq_base, freq_scale,
                                     ext_factor, attn_factor, beta_fast, beta_slow);
-                cb(indexer_q_pe, "indexer_q_pe", il);
-
-                // {n_embd_indexer_head_rope + n_embd_indexer_head_nope, n_head, n_tokens}
-                indexer_q = ggml_concat(ctx0, indexer_q_pe, indexer_q_nope, 0);
                cb(indexer_q, "indexer_q", il);

                ggml_tensor * indexer_k = ggml_mul_mat(ctx0, model.layers[il].indexer_attn_k, cur);
@@ -263,28 +247,11 @@ llama_model_deepseek32::graph::graph(const llama_model & model, const llm_graph_
                indexer_k = build_norm(indexer_k, model.layers[il].indexer_k_norm, model.layers[il].indexer_k_norm_b, LLM_NORM, il);
                cb(indexer_k, "indexer_k", il);

-                // split into {n_embd_indexer_head_rope, 1, n_tokens}
-                ggml_tensor * indexer_k_pe =
-                    ggml_view_3d(ctx0, indexer_k, n_embd_indexer_head_rope, 1, n_tokens,
-                                 ggml_row_size(indexer_k->type, n_embd_indexer_head),
-                                 ggml_row_size(indexer_k->type, n_embd_indexer_head) * 1, 0);
-                cb(indexer_k_pe, "indexer_k_pe", il);
-
-                // and {n_embd_indexer_head_nope, 1, n_tokens}
-                ggml_tensor * indexer_k_nope =
-                    ggml_view_3d(ctx0, indexer_k, n_embd_indexer_head_nope, 1, n_tokens,
-                                 ggml_row_size(indexer_k->type, n_embd_indexer_head),
-                                 ggml_row_size(indexer_k->type, n_embd_indexer_head) * 1,
-                                 ggml_row_size(indexer_k->type, n_embd_indexer_head_nope));
-                cb(indexer_k_nope, "indexer_k_nope", il);
-
-                indexer_k_pe = ggml_rope_ext(ctx0, indexer_k_pe, inp_pos, nullptr, n_rot,
+                // {n_embd_indexer_head, 1, n_tokens}
+                indexer_k = ggml_reshape_3d(ctx0, indexer_k, n_embd_indexer_head, 1, n_tokens);
+                indexer_k = ggml_rope_ext(ctx0, indexer_k, inp_pos, nullptr, n_rot,
                                     LLAMA_ROPE_TYPE_NEOX, n_ctx_orig, freq_base, freq_scale,
                                     ext_factor, attn_factor, beta_fast, beta_slow);
-                cb(indexer_k_pe, "indexer_k_pe", il);
-
-                // {n_embd_indexer_head_rope + n_embd_indexer_head_nope, 1, n_tokens}
-                indexer_k = ggml_concat(ctx0, indexer_k_pe, indexer_k_nope, 0);
                cb(indexer_k, "indexer_k", il);

                // perform Hadamard transform on indexer q and k
@@ -216,10 +216,11 @@ llama_model_glm_dsa::graph::graph(const llama_model & model, const llm_graph_par

    const int64_t n_indexer_head = hparams.indexer_n_head;
    const int64_t n_embd_indexer_head = hparams.indexer_head_size;
-    const int64_t n_embd_indexer_head_rope = hparams.n_rot();
-    const int64_t n_embd_indexer_head_nope = n_embd_indexer_head - n_embd_indexer_head_rope;
    const uint32_t n_indexer_top_k = hparams.indexer_top_k;

+    // the indexer head layout is [rope | nope]
+    GGML_ASSERT(hparams.n_rot() <= n_embd_indexer_head);
+
    const uint32_t kv_lora_rank = hparams.n_lora_kv;

    // We have to pre-scale kq_scale and attn_factor to make the YaRN RoPE work correctly.
@@ -273,28 +274,11 @@ llama_model_glm_dsa::graph::graph(const llama_model & model, const llm_graph_par
                ggml_tensor * indexer_q = ggml_mul_mat(ctx0, model.layers[il].indexer_attn_q_b, qr);
                cb(indexer_q, "indexer_q", il);

-                // split into {n_embd_indexer_head_rope, n_indexer_head, n_tokens}
-                ggml_tensor * indexer_q_pe =
-                    ggml_view_3d(ctx0, indexer_q, n_embd_indexer_head_rope, n_indexer_head, n_tokens,
-                                 ggml_row_size(indexer_q->type, n_embd_indexer_head),
-                                 ggml_row_size(indexer_q->type, n_embd_indexer_head) * n_indexer_head, 0);
-                cb(indexer_q_pe, "indexer_q_pe", il);
-
-                // and {n_embd_indexer_head_nope, n_indexer_head, n_tokens}
-                ggml_tensor * indexer_q_nope =
-                    ggml_view_3d(ctx0, indexer_q, n_embd_indexer_head_nope, n_indexer_head, n_tokens,
-                                 ggml_row_size(indexer_q->type, n_embd_indexer_head),
-                                 ggml_row_size(indexer_q->type, n_embd_indexer_head) * n_indexer_head,
-                                 ggml_row_size(indexer_q->type, n_embd_indexer_head_nope));
-                cb(indexer_q_nope, "indexer_q_nope", il);
-
-                indexer_q_pe = ggml_rope_ext(ctx0, indexer_q_pe, inp_pos, nullptr, n_rot,
+                // {n_embd_indexer_head, n_indexer_head, n_tokens}
+                indexer_q = ggml_reshape_3d(ctx0, indexer_q, n_embd_indexer_head, n_indexer_head, n_tokens);
+                indexer_q = ggml_rope_ext(ctx0, indexer_q, inp_pos, nullptr, n_rot,
                                     LLAMA_ROPE_TYPE_NORM, n_ctx_orig, freq_base, freq_scale,
                                     ext_factor, attn_factor, beta_fast, beta_slow);
-                cb(indexer_q_pe, "indexer_q_pe", il);
-
-                // {n_embd_indexer_head_rope + n_embd_indexer_head_nope, n_head, n_tokens}
-                indexer_q = ggml_concat(ctx0, indexer_q_pe, indexer_q_nope, 0);
                cb(indexer_q, "indexer_q", il);

                ggml_tensor * indexer_k = ggml_mul_mat(ctx0, model.layers[il].indexer_attn_k, cur);
@@ -303,28 +287,11 @@ llama_model_glm_dsa::graph::graph(const llama_model & model, const llm_graph_par
                indexer_k = build_norm(indexer_k, model.layers[il].indexer_k_norm, model.layers[il].indexer_k_norm_b, LLM_NORM, il);
                cb(indexer_k, "indexer_k", il);

-                // split into {n_embd_indexer_head_rope, 1, n_tokens}
-                ggml_tensor * indexer_k_pe =
-                    ggml_view_3d(ctx0, indexer_k, n_embd_indexer_head_rope, 1, n_tokens,
-                                 ggml_row_size(indexer_k->type, n_embd_indexer_head),
-                                 ggml_row_size(indexer_k->type, n_embd_indexer_head) * 1, 0);
-                cb(indexer_k_pe, "indexer_k_pe", il);
-
-                // and {n_embd_indexer_head_nope, 1, n_tokens}
-                ggml_tensor * indexer_k_nope =
-                    ggml_view_3d(ctx0, indexer_k, n_embd_indexer_head_nope, 1, n_tokens,
-                                 ggml_row_size(indexer_k->type, n_embd_indexer_head),
-                                 ggml_row_size(indexer_k->type, n_embd_indexer_head) * 1,
-                                 ggml_row_size(indexer_k->type, n_embd_indexer_head_nope));
-                cb(indexer_k_nope, "indexer_k_nope", il);
-
-                indexer_k_pe = ggml_rope_ext(ctx0, indexer_k_pe, inp_pos, nullptr, n_rot,
+                // {n_embd_indexer_head, 1, n_tokens}
+                indexer_k = ggml_reshape_3d(ctx0, indexer_k, n_embd_indexer_head, 1, n_tokens);
+                indexer_k = ggml_rope_ext(ctx0, indexer_k, inp_pos, nullptr, n_rot,
                                     LLAMA_ROPE_TYPE_NORM, n_ctx_orig, freq_base, freq_scale,
                                     ext_factor, attn_factor, beta_fast, beta_slow);
-                cb(indexer_k_pe, "indexer_k_pe", il);
-
-                // {n_embd_indexer_head_rope + n_embd_indexer_head_nope, 1, n_tokens}
-                indexer_k = ggml_concat(ctx0, indexer_k_pe, indexer_k_nope, 0);
                cb(indexer_k, "indexer_k", il);

                // perform Hadamard transform on indexer q and k
@@ -846,7 +846,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                    invalid_param = true;
                    break;
                }
-                LOG_WRN("DEPRECATED: -mmp and --mmap are deprecated in favour of --load-mode. Please use --load-mode mmap instead.");
+                LOG_WRN("DEPRECATED: -mmp and --mmap are deprecated in favour of --load-mode. Please use --load-mode mmap instead.\n");
                auto p = string_split<bool>(argv[i], split_delim);

                std::vector<llama_load_mode> modes;
@@ -865,7 +865,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                    invalid_param = true;
                    break;
                }
-                LOG_WRN("DEPRECATED: -dio and --direct-io are deprecated in favour of --load-mode. Please use --load-mode dio instead.");
+                LOG_WRN("DEPRECATED: -dio and --direct-io are deprecated in favour of --load-mode. Please use --load-mode dio instead.\n");
                auto p = string_split<bool>(argv[i], split_delim);

                std::vector<llama_load_mode> modes;
Author	SHA1	Message	Date
Georgi Gerganov	04a134c70b	ci : make release workflows use a deply key	2026-08-17 09:58:11 +03:00
Georgi Gerganov	4197155add	sync : ggml	2026-08-17 09:50:06 +03:00
Georgi Gerganov	cea66f4c5a	ggml : bump version to 0.20.1 (ggml/1587)	2026-08-17 09:50:06 +03:00
Fathi Boudra	4695f001fe	llama-bench: fix deprecation warnings missing trailing newline (#27179 ) The log output does not append a newline, so the warning ran into the next line printed on stdout, corrupting the benchmark table header. Signed-off-by: Fathi Boudra <fathi.boudra@linaro.org>	2026-08-17 07:33:24 +03:00
Titaniumtown	f275595dd1	sycl: fix thread/block count in quantized cpy kernel launches (#27160 ) Adjusts the thread/block count to be proportional to the size of the quant, reducing under/over subscription. Largest perf improvement is the q4_0 -> f32 path, with, on a Arc 70, throughput goes from 20.21 GB/s to 158.19 GB/s The rest of the quants are flat in performance uplift.	2026-08-17 07:32:16 +03:00
Neo Zhang	37a215c9e9	[SYCL] support OP OPT_STEP_ADAMW, OPT_STEP_SGD (#25268 ) * fix conflict * fix conflict of ops.md * fix conflict of ops.md * update the ops.md --------- Co-authored-by: Neo Zhang Jianyu <jianyu.zhang@intel.com>	2026-08-17 07:31:29 +03:00
Daniel Bevenius	4df29be4f4	ci : fix dry-run reporting in make-release job [no ci] (#27167 ) This commit fixes the reporting in the make-release CI job when --dry-run is used. It will currently incorrectly report that all checks pass even if there are steps that fail. Refs: https://github.com/ggml-org/llama.cpp/pull/26839#issuecomment-5306189828	2026-08-16 14:53:13 +02:00
fairydreaming	3cb7ffb1a1	model : remove some ggml_concat (#27176 ) Co-authored-by: Xuan Son Nguyen <son@huggingface.co>	2026-08-16 14:12:55 +02:00