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7 Commits

Author SHA1 Message Date
Jeff Bolz 5bb4a3edec vulkan: fix validation error about VK_PIPELINE_CREATE_CAPTURE_STATISTICS_BIT_KHR (#16086) 2025-09-21 08:23:37 +02:00
Georgi Gerganov 7f766929ca sync : ggml 2025-09-20 13:02:14 +03:00
Daniel Bevenius 405921dcef ggml : introduce semantic versioning (ggml/1336)
* ggml : introduce semantic versioning

This commit introduces semantic versioning for the GGML library.

The motivation for this is that the current versioning, using build
numbers, makes it difficult to track changes and releases for projects
that use ggml.

The release steps are the following:
1. Sync the changes from llama.cpp using sync-llama-am.sh and after the
   PR has been approved and merged move to step 2.
2. Run scripts/release.sh and specify the type of release, major, minor,
   or patch. This script will handle incrementing the version
   (major|minor|patch), create a new commit with the version change,
   create a tag for the version, and prepare for the next development
   iteration.
3. Inspect the commits/tag and push to master. This will trigger the
   github release workflow which is triggered for new tags which will
   then publish a new release on github.

Example usage:
```console
$ ./scripts/release.sh major --dry-run
[dry-run] - No changes will be made

Step 1: Reading current version...
Current version: 0.9.0-dev
New release version: 1.0.0

Step 2: Updating version in ggml/CMakeLists.txt...
  [dry-run] Would update GGML_VERSION_MAJOR to 1
  [dry-run] Would update GGML_VERSION_MINOR to 0
  [dry-run] Would update GGML_VERSION_PATCH to 0
  [dry-run] Would remove -dev suffix

Step 3: Committing version bump...
  [dry-run] Would commit: 'ggml : bump version to 1.0.0'

Step 4: Creating git tag...
  [dry-run] Would create tag: v1.0.0 with message 'Release version 1.0.0'

Step 5: Preparing for next development cycle...
  [dry-run] Would update GGML_VERSION_MINOR to 1
  [dry-run] Would add -dev suffix back

Step 6: Committing development version...
  [dry-run] Would commit: 'ggml : prepare for development of 1.1.0-dev'

[dry-run] Summary (no changes were made):
  • Would have released version: 1.0.0
  • Would have created tag: v1.0.0
  • Would have set next development version: 1.1.0-dev
```

Refs: https://github.com/ggml-org/ggml/issues/1333

* ggml: create branch for release candidate and check master

* ggml : sign the git tag
2025-09-20 13:02:14 +03:00
Gregor Jasny fa6383ca7e CUDA : conditionally add cuda architectures (ggml/1341) 2025-09-20 13:02:14 +03:00
Ruben Ortlam 803dac2e48 vulkan: use vec dot for matrix matrix multiplications (#16056)
* vulkan: Change the mul_mm shared memory and register caching system to use vec2 instead of scalars, to enable using dot2 instructions

* use fma instead of dot to fix Nvidia and Apple performance issues
2025-09-20 10:42:56 +02:00
Benni 459c0c2c1a server: fix SSE and OpenAI compatibility for error messages when streaming (#16109)
* server: fix SSE and OpenAI compatibility for error messages when streaming

* server: remove obsolete event parameter and use required data fieldname instead
2025-09-20 07:56:30 +02:00
ssweens be79d9fdd9 llama-bench: add --devices and --list-devices support (#16039)
* * llama-bench: add --devices support
- Support --devices same as llama-server
- Provide for benchmarking different device combinations
- Include --list-devices like llama-server for convenience

* fix: field display ordering restored

* fix: integrated the rpc devices
- aimed to mimic the server as much as possible

* cleanup: defaults for list-devices
- handle dup device listing with RPC

* cleanup: remove dup device load calls

* docs: update llama-bench
- added the recently added n-cpu-moe option to the docs while in there

* llama-bench: rpc device simplification
* rpc servers unify with other devices earlier, simplifying code
* --list-devices made stateless and simpler
* various cleanup
2025-09-20 00:15:21 +02:00
12 changed files with 422 additions and 306 deletions
+37 -21
View File
@@ -1,5 +1,41 @@
cmake_minimum_required(VERSION 3.14) # for add_link_options and implicit target directories.
project("ggml" C CXX ASM)
### GGML Version
set(GGML_VERSION_MAJOR 0)
set(GGML_VERSION_MINOR 9)
set(GGML_VERSION_PATCH 0)
set(GGML_VERSION_DEV "-dev") # "-dev" for development, "" for releases
set(GGML_VERSION_BASE "${GGML_VERSION_MAJOR}.${GGML_VERSION_MINOR}.${GGML_VERSION_PATCH}")
find_program(GIT_EXE NAMES git git.exe NO_CMAKE_FIND_ROOT_PATH)
if(GIT_EXE)
# Get current git commit hash
execute_process(COMMAND ${GIT_EXE} rev-parse --short HEAD
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
OUTPUT_VARIABLE GGML_BUILD_COMMIT
OUTPUT_STRIP_TRAILING_WHITESPACE
ERROR_QUIET
)
# Check if the working directory is dirty (i.e., has uncommitted changes)
execute_process(COMMAND ${GIT_EXE} diff-index --quiet HEAD -- .
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
RESULT_VARIABLE GGML_GIT_DIRTY
ERROR_QUIET
)
endif()
# Build the version string with optional -dev suffix and dirty flag
set(GGML_VERSION "${GGML_VERSION_BASE}${GGML_VERSION_DEV}")
if(GGML_GIT_DIRTY AND NOT GGML_GIT_DIRTY EQUAL 0)
set(GGML_VERSION "${GGML_VERSION}-dirty")
endif()
if(NOT GGML_BUILD_COMMIT)
set(GGML_BUILD_COMMIT "unknown")
endif()
include(CheckIncludeFileCXX)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
@@ -300,26 +336,6 @@ endif()
# Create CMake package
#
# Generate version info based on git commit.
if(NOT DEFINED GGML_BUILD_NUMBER)
find_program(GIT_EXE NAMES git git.exe REQUIRED NO_CMAKE_FIND_ROOT_PATH)
execute_process(COMMAND ${GIT_EXE} rev-list --count HEAD
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
OUTPUT_VARIABLE GGML_BUILD_NUMBER
OUTPUT_STRIP_TRAILING_WHITESPACE
)
if(GGML_BUILD_NUMBER EQUAL 1)
message(WARNING "GGML build version fixed at 1 likely due to a shallow clone.")
endif()
execute_process(COMMAND ${GIT_EXE} rev-parse --short HEAD
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
OUTPUT_VARIABLE GGML_BUILD_COMMIT
OUTPUT_STRIP_TRAILING_WHITESPACE
)
endif()
# Capture variables prefixed with GGML_.
@@ -348,7 +364,7 @@ set(GGML_VARIABLES_EXPANDED ${variable_set_statements})
# Create the CMake package and set install location.
set(GGML_INSTALL_VERSION 0.0.${GGML_BUILD_NUMBER})
set(GGML_INSTALL_VERSION ${GGML_VERSION})
set(GGML_INCLUDE_INSTALL_DIR ${CMAKE_INSTALL_INCLUDEDIR} CACHE PATH "Location of header files")
set(GGML_LIB_INSTALL_DIR ${CMAKE_INSTALL_LIBDIR} CACHE PATH "Location of library files")
set(GGML_BIN_INSTALL_DIR ${CMAKE_INSTALL_BINDIR} CACHE PATH "Location of binary files")
+7 -3
View File
@@ -25,10 +25,14 @@ if (CUDAToolkit_FOUND)
if (GGML_NATIVE AND CUDAToolkit_VERSION VERSION_GREATER_EQUAL "11.6" AND CMAKE_VERSION VERSION_GREATER_EQUAL "3.24")
set(CMAKE_CUDA_ARCHITECTURES "native")
else()
if (CUDAToolkit_VERSION VERSION_LESS "13")
list(APPEND CMAKE_CUDA_ARCHITECTURES 50-virtual 61-virtual 70-virtual)
endif ()
list(APPEND CMAKE_CUDA_ARCHITECTURES 75-virtual 80-virtual 86-real)
if (CUDAToolkit_VERSION VERSION_GREATER_EQUAL "11.8")
set(CMAKE_CUDA_ARCHITECTURES "50-virtual;61-virtual;70-virtual;75-virtual;80-virtual;86-real;89-real")
else()
set(CMAKE_CUDA_ARCHITECTURES "50-virtual;61-virtual;70-virtual;75-virtual;80-virtual;86-real")
list(APPEND CMAKE_CUDA_ARCHITECTURES 89-real)
endif()
endif()
endif()
+3 -1
View File
@@ -1584,7 +1584,9 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin
}
vk::ComputePipelineCreateInfo compute_pipeline_create_info(
vk::PipelineCreateFlags{},
device->pipeline_executable_properties_support ?
vk::PipelineCreateFlagBits::eCaptureStatisticsKHR :
vk::PipelineCreateFlags{},
pipeline_shader_create_info,
pipeline->layout);
+15 -15
View File
@@ -31,10 +31,10 @@
#include "types.comp"
#ifndef LOAD_VEC_A
#define LOAD_VEC_A 1
#define LOAD_VEC_A 2
#endif
#ifndef LOAD_VEC_B
#define LOAD_VEC_B 1
#define LOAD_VEC_B 2
#endif
#if !defined(TO_FLOAT_TYPE)
@@ -98,13 +98,13 @@ layout (constant_id = 9) const uint TK = 1; // Only needed for coopmat
layout (constant_id = 10) const uint WARP = 32;
#ifdef COOPMAT
#define SHMEM_STRIDE (BK + 8)
#define SHMEM_STRIDE (BK / 2 + 4)
#else
#define SHMEM_STRIDE (BK + 1)
#define SHMEM_STRIDE (BK / 2 + 1)
#endif
shared FLOAT_TYPE buf_a[BM * SHMEM_STRIDE];
shared FLOAT_TYPE buf_b[BN * SHMEM_STRIDE];
shared FLOAT_TYPE_VEC2 buf_a[BM * SHMEM_STRIDE];
shared FLOAT_TYPE_VEC2 buf_b[BN * SHMEM_STRIDE];
#define NUM_WARPS (BLOCK_SIZE / WARP)
@@ -302,8 +302,8 @@ void main() {
}
#else
ACC_TYPE sums[WMITER * TM * WNITER * TN];
FLOAT_TYPE cache_a[WMITER * TM];
FLOAT_TYPE cache_b[TN];
FLOAT_TYPE_VEC2 cache_a[WMITER * TM];
FLOAT_TYPE_VEC2 cache_b[TN];
[[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN; i++) {
sums[i] = ACC_TYPE(0.0f);
@@ -312,13 +312,13 @@ void main() {
for (uint block = start_k; block < end_k; block += BK) {
[[unroll]] for (uint l = 0; l < BM; l += loadstride_a) {
load_a_to_shmem(pos_a, loadr_a, loadc_a + l, ir * BM + loadc_a + l, block + loadr_a, end_k);
load_a_to_shmem(pos_a, loadr_a, loadc_a + l, ir * BM + loadc_a + l, block, end_k);
}
[[unroll]] for (uint l = 0; l < BN; l += loadstride_b) {
#if !defined(MUL_MAT_ID)
load_b_to_shmem(pos_b, loadr_b, loadc_b + l, ic * BN + loadc_b + l, block + loadr_b, end_k);
load_b_to_shmem(pos_b, loadr_b, loadc_b + l, ic * BN + loadc_b + l, block, end_k);
#else
load_b_to_shmem(pos_b, loadr_b, loadc_b + l, ic, _ne1, block + loadr_b, end_k);
load_b_to_shmem(pos_b, loadr_b, loadc_b + l, ic, _ne1, block, end_k);
#endif
}
@@ -331,17 +331,17 @@ void main() {
[[unroll]] for (uint i = 0; i < BK; i += TK) {
[[unroll]] for (uint cm_row = 0; cm_row < cms_per_row; cm_row++) {
// Load from shared into cache
coopMatLoad(cache_a, buf_a, (warp_r * WM + cm_row * TM) * SHMEM_STRIDE + i, SHMEM_STRIDE, gl_CooperativeMatrixLayoutRowMajor);
coopMatLoad(cache_a, buf_a, (warp_r * WM + cm_row * TM) * SHMEM_STRIDE + i / 2, SHMEM_STRIDE, gl_CooperativeMatrixLayoutRowMajor);
[[unroll]] for (uint cm_col = 0; cm_col < cms_per_col; cm_col++) {
coopMatLoad(cache_b, buf_b, (warp_c * WN + cm_col * TN) * SHMEM_STRIDE + i, SHMEM_STRIDE, gl_CooperativeMatrixLayoutColumnMajor);
coopMatLoad(cache_b, buf_b, (warp_c * WN + cm_col * TN) * SHMEM_STRIDE + i / 2, SHMEM_STRIDE, gl_CooperativeMatrixLayoutColumnMajor);
sums[cm_col * cms_per_row + cm_row] = coopMatMulAdd(cache_a, cache_b, sums[cm_col * cms_per_row + cm_row]);
}
}
}
#else
[[unroll]] for (uint i = 0; i < BK; i++) {
[[unroll]] for (uint i = 0; i < BK / 2; i++) {
// Load from shared into cache
[[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
[[unroll]] for (uint j = 0; j < TM; j++) {
@@ -357,7 +357,7 @@ void main() {
[[unroll]] for (uint cc = 0; cc < TN; cc++) {
[[unroll]] for (uint cr = 0; cr < TM; cr++) {
const uint sums_idx = (wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr;
sums[sums_idx] = fma(ACC_TYPE(cache_a[wsir * TM + cr]), ACC_TYPE(cache_b[cc]), sums[sums_idx]);
sums[sums_idx] = fma(ACC_TYPE(cache_a[wsir * TM + cr].x), ACC_TYPE(cache_b[cc].x), fma(ACC_TYPE(cache_a[wsir * TM + cr].y), ACC_TYPE(cache_b[cc].y), sums[sums_idx]));
}
}
}
@@ -1,51 +1,53 @@
void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uint idx_m, const uint idx_k, const uint end_k) {
void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uint idx_m, const uint block, const uint end_k) {
#if defined(DATA_A_F32) || defined(DATA_A_F16)
#if LOAD_VEC_A == 8
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
FLOAT_TYPE_VEC8 aa = FLOAT_TYPE_VEC8(data_a[idx]);
buf_a[buf_idx ] = aa[0].x;
buf_a[buf_idx + 1] = aa[0].y;
buf_a[buf_idx + 2] = aa[0].z;
buf_a[buf_idx + 3] = aa[0].w;
buf_a[buf_idx + 4] = aa[1].x;
buf_a[buf_idx + 5] = aa[1].y;
buf_a[buf_idx + 6] = aa[1].z;
buf_a[buf_idx + 7] = aa[1].w;
buf_a[buf_idx ] = aa[0].xy;
buf_a[buf_idx + 1] = aa[0].zw;
buf_a[buf_idx + 2] = aa[1].xy;
buf_a[buf_idx + 3] = aa[1].zw;
#elif LOAD_VEC_A == 4
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
FLOAT_TYPE_VEC4 aa = FLOAT_TYPE_VEC4(data_a[idx]);
buf_a[buf_idx ] = aa.x;
buf_a[buf_idx + 1] = aa.y;
buf_a[buf_idx + 2] = aa.z;
buf_a[buf_idx + 3] = aa.w;
#else
if (idx_m < p.M && idx_k < end_k) {
buf_a[col * SHMEM_STRIDE + row] = FLOAT_TYPE(data_a[pos_a + col * p.stride_a + row]);
buf_a[buf_idx ] = aa.xy;
buf_a[buf_idx + 1] = aa.zw;
#else // LOAD_VEC_A == 2
const uint idx = pos_a * 2 + col * p.stride_a + row * 2;
const uint buf_idx = col * SHMEM_STRIDE + row;
if (idx_m < p.M && block + row * 2 + 1 < end_k) {
buf_a[buf_idx] = FLOAT_TYPE_VEC2(data_a[idx],
data_a[idx + 1]);
} else if (idx_m < p.M && block + row * 2 < end_k) {
buf_a[buf_idx] = FLOAT_TYPE_VEC2(data_a[idx], 0.0f);
} else {
buf_a[col * SHMEM_STRIDE + row] = FLOAT_TYPE(0.0f);
buf_a[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
}
#endif
#elif defined(DATA_A_BF16)
#if LOAD_VEC_A == 4
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
FLOAT_TYPE_VEC4 aa = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_a[idx]));
buf_a[buf_idx ] = aa.x;
buf_a[buf_idx + 1] = aa.y;
buf_a[buf_idx + 2] = aa.z;
buf_a[buf_idx + 3] = aa.w;
#else
if (idx_m < p.M && idx_k < end_k) {
buf_a[col * SHMEM_STRIDE + row] = TO_FLOAT_TYPE(data_a[pos_a + col * p.stride_a + row]);
buf_a[buf_idx ] = aa.xy;
buf_a[buf_idx + 1] = aa.zw;
#else // LOAD_VEC_A == 2
const uint idx = pos_a * 2 + col * p.stride_a + row * 2;
const uint buf_idx = col * SHMEM_STRIDE + row;
if (idx_m < p.M && block + row * 2 + 1 < end_k) {
buf_a[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_a[idx]),
TO_FLOAT_TYPE(data_a[idx + 1]));
} else if (idx_m < p.M && block + row * 2 < end_k) {
buf_a[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_a[idx]), 0.0f);
} else {
buf_a[col * SHMEM_STRIDE + row] = TO_FLOAT_TYPE(uint16_t(0));
buf_a[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
}
#endif
#elif defined(DATA_A_Q4_0)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + 4 * row;
const uint buf_idx = col * SHMEM_STRIDE + 2 * row;
const uint ib = idx / 4;
const uint iqs = idx & 0x03;
@@ -55,17 +57,13 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 v0 = (vec4(unpack8(vui & 0x0F0F0F0F)) - 8.0f) * d;
const vec4 v1 = (vec4(unpack8((vui >> 4) & 0x0F0F0F0F)) - 8.0f) * d;
buf_a[buf_idx ] = FLOAT_TYPE(v0.x);
buf_a[buf_idx + 1 ] = FLOAT_TYPE(v0.y);
buf_a[buf_idx + 2 ] = FLOAT_TYPE(v0.z);
buf_a[buf_idx + 3 ] = FLOAT_TYPE(v0.w);
buf_a[buf_idx + 16] = FLOAT_TYPE(v1.x);
buf_a[buf_idx + 17] = FLOAT_TYPE(v1.y);
buf_a[buf_idx + 18] = FLOAT_TYPE(v1.z);
buf_a[buf_idx + 19] = FLOAT_TYPE(v1.w);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v0.xy);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v0.zw);
buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v1.xy);
buf_a[buf_idx + 9] = FLOAT_TYPE_VEC2(v1.zw);
#elif defined(DATA_A_Q4_1)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + 4 * row;
const uint buf_idx = col * SHMEM_STRIDE + 2 * row;
const uint ib = idx / 4;
const uint iqs = idx & 0x03;
@@ -76,17 +74,13 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 v0 = vec4(unpack8(vui & 0x0F0F0F0F)) * d + m;
const vec4 v1 = vec4(unpack8((vui >> 4) & 0x0F0F0F0F)) * d + m;
buf_a[buf_idx ] = FLOAT_TYPE(v0.x);
buf_a[buf_idx + 1 ] = FLOAT_TYPE(v0.y);
buf_a[buf_idx + 2 ] = FLOAT_TYPE(v0.z);
buf_a[buf_idx + 3 ] = FLOAT_TYPE(v0.w);
buf_a[buf_idx + 16] = FLOAT_TYPE(v1.x);
buf_a[buf_idx + 17] = FLOAT_TYPE(v1.y);
buf_a[buf_idx + 18] = FLOAT_TYPE(v1.z);
buf_a[buf_idx + 19] = FLOAT_TYPE(v1.w);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v0.xy);
buf_a[buf_idx + 1 ] = FLOAT_TYPE_VEC2(v0.zw);
buf_a[buf_idx + 8 ] = FLOAT_TYPE_VEC2(v1.xy);
buf_a[buf_idx + 9 ] = FLOAT_TYPE_VEC2(v1.zw);
#elif defined(DATA_A_Q5_0)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + 2 * row;
const uint buf_idx = col * SHMEM_STRIDE + row;
const uint ib = idx / 8;
const uint iqs = idx & 0x07;
@@ -99,13 +93,11 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint vui = uint(data_a_packed16[ib].qs[iqs]);
const vec4 v = (vec4((vui & 0xF) | qh0.x, ((vui >> 4) & 0xF) | qh0.y, ((vui >> 8) & 0xF) | qh1.x, (vui >> 12) | qh1.y) - 16.0f) * d;
buf_a[buf_idx ] = FLOAT_TYPE(v.x);
buf_a[buf_idx + 1 ] = FLOAT_TYPE(v.z);
buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);
buf_a[buf_idx + 17] = FLOAT_TYPE(v.w);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v.xz);
buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v.yw);
#elif defined(DATA_A_Q5_1)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + 2 * row;
const uint buf_idx = col * SHMEM_STRIDE + row;
const uint ib = idx / 8;
const uint iqs = idx & 0x07;
@@ -119,13 +111,11 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint vui = uint(data_a_packed16[ib].qs[iqs]);
const vec4 v = vec4((vui & 0xF) | qh0.x, ((vui >> 4) & 0xF) | qh0.y, ((vui >> 8) & 0xF) | qh1.x, (vui >> 12) | qh1.y) * d + m;
buf_a[buf_idx ] = FLOAT_TYPE(v.x);
buf_a[buf_idx + 1 ] = FLOAT_TYPE(v.z);
buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);
buf_a[buf_idx + 17] = FLOAT_TYPE(v.w);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v.xz);
buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v.yw);
#elif defined(DATA_A_Q8_0)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 8;
const uint iqs = idx & 0x07;
@@ -135,13 +125,11 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const i8vec2 v1 = unpack8(int32_t(data_a_packed16[ib].qs[2*iqs + 1])).xy;
const vec4 v = vec4(v0.x, v0.y, v1.x, v1.y) * d;
buf_a[buf_idx ] = FLOAT_TYPE(v.x);
buf_a[buf_idx + 1] = FLOAT_TYPE(v.y);
buf_a[buf_idx + 2] = FLOAT_TYPE(v.z);
buf_a[buf_idx + 3] = FLOAT_TYPE(v.w);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v.xy);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v.zw);
#elif defined(DATA_A_Q2_K)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 128; // 2 values per idx
const uint iqs = idx % 128; // 0..127
@@ -156,11 +144,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec2 v = d.x * float(scales & 0xF) * vec2((qs >> qsshift) & 3) - d.y * float(scales >> 4);
buf_a[buf_idx ] = FLOAT_TYPE(v.x);
buf_a[buf_idx + 1] = FLOAT_TYPE(v.y);
buf_a[buf_idx] = FLOAT_TYPE_VEC2(v.xy);
#elif defined(DATA_A_Q3_K)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 128; // 2 values per idx
const uint iqs = idx % 128; // 0..127
@@ -178,11 +165,11 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
| (((data_a[ib].scales[8 + (is % 4)] >> (2 * int(is / 4))) & 3) << 4));
const float dl = float(data_a[ib].d) * float(us - 32);
buf_a[buf_idx ] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi ] >> qsshift) & 3) - (((data_a[ib].hmask[hmi ] & m) != 0) ? 0 : 4)));
buf_a[buf_idx + 1] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi + 1] >> qsshift) & 3) - (((data_a[ib].hmask[hmi + 1] & m) != 0) ? 0 : 4)));
buf_a[buf_idx] = FLOAT_TYPE_VEC2(dl * float(int8_t((data_a[ib].qs[qsi ] >> qsshift) & 3) - (((data_a[ib].hmask[hmi ] & m) != 0) ? 0 : 4)),
dl * float(int8_t((data_a[ib].qs[qsi + 1] >> qsshift) & 3) - (((data_a[ib].hmask[hmi + 1] & m) != 0) ? 0 : 4)));
#elif defined(DATA_A_Q4_K)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 128; // 2 values per idx
const uint iqs = idx % 128; // 0..127
@@ -211,11 +198,11 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const float d = loadd.x * sc;
const float m = -loadd.y * mbyte;
buf_a[buf_idx ] = FLOAT_TYPE(fma(d, float((data_a[ib].qs[qsi ] >> (b * 4)) & 0xF), m));
buf_a[buf_idx + 1] = FLOAT_TYPE(fma(d, float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF), m));
buf_a[buf_idx] = FLOAT_TYPE_VEC2(fma(d, float((data_a[ib].qs[qsi ] >> (b * 4)) & 0xF), m),
fma(d, float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF), m));
#elif defined(DATA_A_Q5_K)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 128; // 2 values per idx
const uint iqs = idx % 128; // 0..127
@@ -247,11 +234,11 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const float d = loadd.x * sc;
const float m = -loadd.y * mbyte;
buf_a[buf_idx ] = FLOAT_TYPE(fma(d, float((data_a[ib].qs[qsi ] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi ] & hm) != 0 ? 16 : 0), m));
buf_a[buf_idx + 1] = FLOAT_TYPE(fma(d, float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi + 1] & hm) != 0 ? 16 : 0), m));
buf_a[buf_idx] = FLOAT_TYPE_VEC2(fma(d, float((data_a[ib].qs[qsi ] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi ] & hm) != 0 ? 16 : 0), m),
fma(d, float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi + 1] & hm) != 0 ? 16 : 0), m));
#elif defined(DATA_A_Q6_K)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 128; // 2 values per idx
const uint iqs = idx % 128; // 0..127
@@ -266,11 +253,11 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const float dscale = float(data_a[ib].d) * float(data_a[ib].scales[is]);
buf_a[buf_idx ] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi ] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi ] >> qhshift) & 3) << 4)) - 32));
buf_a[buf_idx + 1] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi + 1] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi + 1] >> qhshift) & 3) << 4)) - 32));
buf_a[buf_idx] = FLOAT_TYPE_VEC2(dscale * float(int8_t(((data_a[ib].ql[qsi ] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi ] >> qhshift) & 3) << 4)) - 32),
dscale * float(int8_t(((data_a[ib].ql[qsi + 1] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi + 1] >> qhshift) & 3) << 4)) - 32));
#elif defined(DATA_A_IQ1_S)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 32; // 8 values per idx
const uint ib32 = (idx % 32) / 4; // 0..7
@@ -283,12 +270,13 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const float delta = ((qh & 0x8000) != 0) ? -IQ1S_DELTA : IQ1S_DELTA;
const int16_t grid = int16_t(iq1s_grid[qs | (bitfieldExtract(qh, 3 * int(ib8 & 3), 3) << 8)]);
[[unroll]] for (int k = 0; k < 8; ++k) {
buf_a[buf_idx + k] = FLOAT_TYPE(dl * (bitfieldExtract(grid, 2 * k, 2) + delta));
[[unroll]] for (int k = 0; k < 4; ++k) {
buf_a[buf_idx + k] = FLOAT_TYPE_VEC2(dl * (bitfieldExtract(grid, 4 * k , 2) + delta),
dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
}
#elif defined(DATA_A_IQ1_M)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 32; // 8 values per idx
const uint ib8 = idx % 32;
@@ -304,12 +292,13 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const float delta = ((qh & 8) != 0) ? -IQ1M_DELTA : IQ1M_DELTA;
const int16_t grid = int16_t(iq1s_grid[qs | ((qh & 7) << 8)]);
[[unroll]] for (int k = 0; k < 8; ++k) {
buf_a[buf_idx + k] = FLOAT_TYPE(dl * (bitfieldExtract(grid, 2 * k, 2) + delta));
[[unroll]] for (int k = 0; k < 4; ++k) {
buf_a[buf_idx + k] = FLOAT_TYPE_VEC2(dl * (bitfieldExtract(grid, 4 * k , 2) + delta),
dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
}
#elif defined(DATA_A_IQ2_XXS)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 32; // 8 values per idx
const uint ib32 = (idx % 32) / 4; // 0..7
@@ -330,17 +319,17 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 grid0 = vec4(unpack8(grid.x));
const vec4 grid1 = vec4(unpack8(grid.y));
buf_a[buf_idx ] = db * FLOAT_TYPE((sign & 1) != 0 ? -grid0.x : grid0.x);
buf_a[buf_idx + 1] = db * FLOAT_TYPE((sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 2] = db * FLOAT_TYPE((sign & 4) != 0 ? -grid0.z : grid0.z);
buf_a[buf_idx + 3] = db * FLOAT_TYPE((sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 4] = db * FLOAT_TYPE((sign & 16) != 0 ? -grid1.x : grid1.x);
buf_a[buf_idx + 5] = db * FLOAT_TYPE((sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 6] = db * FLOAT_TYPE((sign & 64) != 0 ? -grid1.z : grid1.z);
buf_a[buf_idx + 7] = db * FLOAT_TYPE((sign & 128) != 0 ? -grid1.w : grid1.w);
buf_a[buf_idx ] = db * FLOAT_TYPE_VEC2((sign & 1) != 0 ? -grid0.x : grid0.x,
(sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign & 4) != 0 ? -grid0.z : grid0.z,
(sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign & 16) != 0 ? -grid1.x : grid1.x,
(sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign & 64) != 0 ? -grid1.z : grid1.z,
(sign & 128) != 0 ? -grid1.w : grid1.w);
#elif defined(DATA_A_IQ2_XS)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 32; // 8 values per idx
const uint ib32 = (idx % 32) / 4; // 0..7
@@ -356,17 +345,17 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 grid0 = vec4(unpack8(grid.x));
const vec4 grid1 = vec4(unpack8(grid.y));
buf_a[buf_idx ] = db * FLOAT_TYPE((sign & 1) != 0 ? -grid0.x : grid0.x);
buf_a[buf_idx + 1] = db * FLOAT_TYPE((sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 2] = db * FLOAT_TYPE((sign & 4) != 0 ? -grid0.z : grid0.z);
buf_a[buf_idx + 3] = db * FLOAT_TYPE((sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 4] = db * FLOAT_TYPE((sign & 16) != 0 ? -grid1.x : grid1.x);
buf_a[buf_idx + 5] = db * FLOAT_TYPE((sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 6] = db * FLOAT_TYPE((sign & 64) != 0 ? -grid1.z : grid1.z);
buf_a[buf_idx + 7] = db * FLOAT_TYPE((sign & 128) != 0 ? -grid1.w : grid1.w);
buf_a[buf_idx ] = db * FLOAT_TYPE_VEC2((sign & 1) != 0 ? -grid0.x : grid0.x,
(sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign & 4) != 0 ? -grid0.z : grid0.z,
(sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign & 16) != 0 ? -grid1.x : grid1.x,
(sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign & 64) != 0 ? -grid1.z : grid1.z,
(sign & 128) != 0 ? -grid1.w : grid1.w);
#elif defined(DATA_A_IQ2_S)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 32; // 8 values per idx
const uint ib8 = idx % 32; // 0..31
@@ -384,17 +373,17 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 grid0 = vec4(unpack8(grid.x));
const vec4 grid1 = vec4(unpack8(grid.y));
buf_a[buf_idx ] = db * FLOAT_TYPE((sign & 1) != 0 ? -grid0.x : grid0.x);
buf_a[buf_idx + 1] = db * FLOAT_TYPE((sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 2] = db * FLOAT_TYPE((sign & 4) != 0 ? -grid0.z : grid0.z);
buf_a[buf_idx + 3] = db * FLOAT_TYPE((sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 4] = db * FLOAT_TYPE((sign & 16) != 0 ? -grid1.x : grid1.x);
buf_a[buf_idx + 5] = db * FLOAT_TYPE((sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 6] = db * FLOAT_TYPE((sign & 64) != 0 ? -grid1.z : grid1.z);
buf_a[buf_idx + 7] = db * FLOAT_TYPE((sign & 128) != 0 ? -grid1.w : grid1.w);
buf_a[buf_idx ] = db * FLOAT_TYPE_VEC2((sign & 1) != 0 ? -grid0.x : grid0.x,
(sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign & 4) != 0 ? -grid0.z : grid0.z,
(sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign & 16) != 0 ? -grid1.x : grid1.x,
(sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign & 64) != 0 ? -grid1.z : grid1.z,
(sign & 128) != 0 ? -grid1.w : grid1.w);
#elif defined(DATA_A_IQ3_XXS)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 64; // 4 values per idx
const uint iqs = idx % 64; // 0..63
@@ -414,13 +403,13 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint grid = iq3xxs_grid[qs];
const vec4 v = db * vec4(unpack8(grid));
buf_a[buf_idx ] = FLOAT_TYPE((sign & 1) != 0 ? -v.x : v.x);
buf_a[buf_idx + 1] = FLOAT_TYPE((sign & 2) != 0 ? -v.y : v.y);
buf_a[buf_idx + 2] = FLOAT_TYPE((sign & 4) != 0 ? -v.z : v.z);
buf_a[buf_idx + 3] = FLOAT_TYPE((sign & 8) != 0 ? -v.w : v.w);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2((sign & 1) != 0 ? -v.x : v.x,
(sign & 2) != 0 ? -v.y : v.y);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2((sign & 4) != 0 ? -v.z : v.z,
(sign & 8) != 0 ? -v.w : v.w);
#elif defined(DATA_A_IQ3_S)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 64; // 4 values per idx
const uint iqs = idx % 64; // 0..63
@@ -436,13 +425,13 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)];
const vec4 v = db * vec4(unpack8(grid));
buf_a[buf_idx ] = FLOAT_TYPE((sign & 1) != 0 ? -v.x : v.x);
buf_a[buf_idx + 1] = FLOAT_TYPE((sign & 2) != 0 ? -v.y : v.y);
buf_a[buf_idx + 2] = FLOAT_TYPE((sign & 4) != 0 ? -v.z : v.z);
buf_a[buf_idx + 3] = FLOAT_TYPE((sign & 8) != 0 ? -v.w : v.w);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2((sign & 1) != 0 ? -v.x : v.x,
(sign & 2) != 0 ? -v.y : v.y);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2((sign & 4) != 0 ? -v.z : v.z,
(sign & 8) != 0 ? -v.w : v.w);
#elif defined(DATA_A_IQ4_XS)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
const uint ib = idx / 128; // 2 values per idx
const uint ib32 = (idx % 128) / 16; // 0..7
@@ -457,11 +446,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const float d = float(data_a[ib].d);
const vec2 v = d * float(int(sl | (sh << 4)) - 32) * vec2(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y]);
buf_a[buf_idx ] = FLOAT_TYPE(v.x);
buf_a[buf_idx + 1] = FLOAT_TYPE(v.y);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v.xy);
#elif defined(DATA_A_IQ4_NL)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + 2 * row;
const uint buf_idx = col * SHMEM_STRIDE + row;
const uint ib = idx / 8;
const uint iqs = idx & 0x07;
@@ -469,13 +457,13 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const FLOAT_TYPE d = FLOAT_TYPE(data_a_packed16[ib].d);
const uint vui = uint(data_a_packed16[ib].qs[iqs]);
buf_a[buf_idx ] = FLOAT_TYPE(kvalues_iq4nl[vui & 0xF]) * d;
buf_a[buf_idx + 1 ] = FLOAT_TYPE(kvalues_iq4nl[bitfieldExtract(vui, 8, 4)]) * d;
buf_a[buf_idx + 16] = FLOAT_TYPE(kvalues_iq4nl[bitfieldExtract(vui, 4, 4)]) * d;
buf_a[buf_idx + 17] = FLOAT_TYPE(kvalues_iq4nl[vui >> 12]) * d;
buf_a[buf_idx ] = d * FLOAT_TYPE_VEC2(kvalues_iq4nl[vui & 0xF],
kvalues_iq4nl[bitfieldExtract(vui, 8, 4)]);
buf_a[buf_idx + 8] = d * FLOAT_TYPE_VEC2(kvalues_iq4nl[bitfieldExtract(vui, 4, 4)],
kvalues_iq4nl[vui >> 12]);
#elif defined(DATA_A_MXFP4)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + 2 * row;
const uint buf_idx = col * SHMEM_STRIDE + row;
const uint ib = idx / 8;
const uint iqs = (idx & 0x07) * 2;
@@ -484,84 +472,84 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint vui = uint(data_a[ib].qs[iqs]);
const uint vui2 = uint(data_a[ib].qs[iqs+1]);
buf_a[buf_idx ] = FLOAT_TYPE(kvalues_mxfp4[vui & 0xF] * d);
buf_a[buf_idx + 16] = FLOAT_TYPE(kvalues_mxfp4[vui >> 4] * d);
buf_a[buf_idx + 1] = FLOAT_TYPE(kvalues_mxfp4[vui2 & 0xF] * d);
buf_a[buf_idx + 17] = FLOAT_TYPE(kvalues_mxfp4[vui2 >> 4] * d);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(kvalues_mxfp4[vui & 0xF] * d,
kvalues_mxfp4[vui2 & 0xF] * d);
buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(kvalues_mxfp4[vui >> 4] * d,
kvalues_mxfp4[vui2 >> 4] * d);
#endif
}
#if !defined(MUL_MAT_ID)
void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uint idx_n, const uint idx_k, const uint end_k) {
void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uint idx_n, const uint block, const uint end_k) {
#if LOAD_VEC_B == 8
// Not supported for b_type bf16 because bf16mat2x4 does not exist
const uint idx = pos_b + col * p.stride_b / LOAD_VEC_B + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
FLOAT_TYPE_VEC8 bb = FLOAT_TYPE_VEC8(data_b[idx]);
buf_b[buf_idx + 0] = bb[0].x;
buf_b[buf_idx + 1] = bb[0].y;
buf_b[buf_idx + 2] = bb[0].z;
buf_b[buf_idx + 3] = bb[0].w;
buf_b[buf_idx + 4] = bb[1].x;
buf_b[buf_idx + 5] = bb[1].y;
buf_b[buf_idx + 6] = bb[1].z;
buf_b[buf_idx + 7] = bb[1].w;
buf_b[buf_idx + 0] = bb[0].xy;
buf_b[buf_idx + 1] = bb[0].zw;
buf_b[buf_idx + 2] = bb[1].xy;
buf_b[buf_idx + 3] = bb[1].zw;
#elif LOAD_VEC_B == 4
const uint idx = pos_b + col * p.stride_b / LOAD_VEC_B + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
#if defined(DATA_B_BF16)
FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_b[idx]));
#else
FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(data_b[idx]);
#endif
buf_b[buf_idx + 0] = bb.x;
buf_b[buf_idx + 1] = bb.y;
buf_b[buf_idx + 2] = bb.z;
buf_b[buf_idx + 3] = bb.w;
#else // LOAD_VEC_B == 1
if (idx_n < p.N && idx_k < end_k) {
buf_b[col * SHMEM_STRIDE + row] = TO_FLOAT_TYPE(data_b[pos_b + col * p.stride_b + row]);
buf_b[buf_idx + 0] = bb.xy;
buf_b[buf_idx + 1] = bb.zw;
#else // LOAD_VEC_B == 2
const uint idx = pos_b * 2 + col * p.stride_b + row * 2;
const uint buf_idx = col * SHMEM_STRIDE + row;
if (idx_n < p.N && block + row * 2 + 1 < end_k) {
buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]),
TO_FLOAT_TYPE(data_b[idx + 1]));
} else if (idx_n < p.N && block + row * 2 < end_k) {
buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
} else {
buf_b[col * SHMEM_STRIDE + row] = FLOAT_TYPE(0.0f);
buf_b[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
}
#endif
}
#else
void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uint ic, const uint _ne1, const uint idx_k, const uint end_k) {
void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uint ic, const uint _ne1, const uint block, const uint end_k) {
#if LOAD_VEC_B == 8
// Not supported for b_type bf16 because bf16mat2x4 does not exist
const u16vec2 row_idx = row_ids[col];
const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
FLOAT_TYPE_VEC8 bb = FLOAT_TYPE_VEC8(data_b[idx]);
buf_b[buf_idx + 0] = bb[0].x;
buf_b[buf_idx + 1] = bb[0].y;
buf_b[buf_idx + 2] = bb[0].z;
buf_b[buf_idx + 3] = bb[0].w;
buf_b[buf_idx + 4] = bb[1].x;
buf_b[buf_idx + 5] = bb[1].y;
buf_b[buf_idx + 6] = bb[1].z;
buf_b[buf_idx + 7] = bb[1].w;
buf_b[buf_idx + 0] = bb[0].xy;
buf_b[buf_idx + 1] = bb[0].zw;
buf_b[buf_idx + 2] = bb[1].xy;
buf_b[buf_idx + 3] = bb[1].zw;
#elif LOAD_VEC_B == 4
const u16vec2 row_idx = row_ids[col];
const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
#if defined(DATA_B_BF16)
FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_b[idx]));
#else
FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(data_b[idx]);
#endif
buf_b[buf_idx + 0] = bb.x;
buf_b[buf_idx + 1] = bb.y;
buf_b[buf_idx + 2] = bb.z;
buf_b[buf_idx + 3] = bb.w;
#else // LOAD_VEC_B == 1
buf_b[buf_idx + 0] = bb.xy;
buf_b[buf_idx + 1] = bb.zw;
#else // LOAD_VEC_B == 2
const uint row_i = ic * BN + col;
if (row_i < _ne1 && idx_k < end_k) {
const uint buf_idx = col * SHMEM_STRIDE + row;
if (row_i < _ne1 && block + row * 2 + 1 < end_k) {
const u16vec2 row_idx = row_ids[col];
buf_b[col * SHMEM_STRIDE + row] = TO_FLOAT_TYPE(data_b[pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + row]);
const uint idx = pos_b * 2 + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + row * 2;
buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]),
TO_FLOAT_TYPE(data_b[idx + 1]));
} else if (row_i < _ne1 && block + row * 2 < end_k) {
const u16vec2 row_idx = row_ids[col];
const uint idx = pos_b * 2 + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + row * 2;
buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
} else {
buf_b[col * SHMEM_STRIDE + row] = FLOAT_TYPE(0.0f);
buf_b[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
}
#endif
}
@@ -11,12 +11,12 @@
#define QUANT_K 1
#define QUANT_R 1
#if !defined(LOAD_VEC_A) || LOAD_VEC_A == 1
#define A_TYPE float
#elif LOAD_VEC_A == 4
#if LOAD_VEC_A == 4
#define A_TYPE vec4
#elif LOAD_VEC_A == 8
#define A_TYPE mat2x4
#else
#define A_TYPE float
#endif
#endif
@@ -24,12 +24,12 @@
#define QUANT_K 1
#define QUANT_R 1
#if !defined(LOAD_VEC_A) || LOAD_VEC_A == 1
#define A_TYPE float16_t
#elif LOAD_VEC_A == 4
#if LOAD_VEC_A == 4
#define A_TYPE f16vec4
#elif LOAD_VEC_A == 8
#define A_TYPE f16mat2x4
#else
#define A_TYPE float16_t
#endif
#endif
@@ -37,12 +37,12 @@
#define QUANT_K 1
#define QUANT_R 1
#if !defined(LOAD_VEC_A) || LOAD_VEC_A == 1
#define A_TYPE uint16_t
#elif LOAD_VEC_A == 4
#if LOAD_VEC_A == 4
#define A_TYPE u16vec4
#elif LOAD_VEC_A == 8
#error unsupported
#else
#define A_TYPE uint16_t
#endif
#endif
@@ -336,7 +336,8 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
base_dict["FLOAT16"] = "1";
}
base_dict["ACC_TYPE"] = f16acc ? "float16_t" : "float";
base_dict["ACC_TYPE" ] = f16acc ? "float16_t" : "float";
base_dict["ACC_TYPE_VEC2"] = f16acc ? "f16vec2" : "vec2";
if (f16acc) {
base_dict["ACC_TYPE_MAX"] = "\"float16_t(65504.0)\"";
}
@@ -418,7 +419,6 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
// bf16
{
std::string load_vec_a_unaligned = "1";
// For aligned matmul loads
std::string load_vec_a = coopmat2 ? "1" : "4";
@@ -436,8 +436,8 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
if (!(coopmat || coopmat2))
#endif
{
string_to_spv(shader_name + "_bf16_aligned", source_name, merge_maps(merge_maps(base_dict, float_type_dict_bf16), {{"TO_FLOAT_TYPE", to_float_type}, {"DATA_A_BF16", "1"}, {"LOAD_VEC_A", load_vec_a}, {"LOAD_VEC_B", "4"}, {"B_TYPE", coopmat2 ? "bfloat16_t" : "u16vec4"}, {"D_TYPE", "float"}, {"B_IS_FLOAT", "1"}, {"DATA_B_BF16", "1"}, {"ALIGNED", "1"}}), fp16, coopmat, coopmat2, f16acc);
string_to_spv(shader_name + "_bf16", source_name, merge_maps(merge_maps(base_dict, float_type_dict_bf16), {{"TO_FLOAT_TYPE", to_float_type}, {"DATA_A_BF16", "1"}, {"LOAD_VEC_A", load_vec_a_unaligned}, {"B_TYPE", coopmat2 ? "bfloat16_t" : "uint16_t"}, {"D_TYPE", "float"}, {"B_IS_FLOAT", "1"}, {"DATA_B_BF16", "1"}}), fp16, coopmat, coopmat2, f16acc);
string_to_spv(shader_name + "_bf16", source_name, merge_maps(merge_maps(base_dict, float_type_dict_bf16), {{"TO_FLOAT_TYPE", to_float_type}, {"DATA_A_BF16", "1"}, {"B_TYPE", coopmat2 ? "bfloat16_t" : "uint16_t"}, {"D_TYPE", "float"}, {"B_IS_FLOAT", "1"}, {"DATA_B_BF16", "1"}}), fp16, coopmat, coopmat2, f16acc);
string_to_spv(shader_name + "_bf16_aligned", source_name, merge_maps(merge_maps(base_dict, float_type_dict_bf16), {{"TO_FLOAT_TYPE", to_float_type}, {"DATA_A_BF16", "1"}, {"LOAD_VEC_A", load_vec_a}, {"LOAD_VEC_B", "4"}, {"B_TYPE", coopmat2 ? "bfloat16_t" : "u16vec4"}, {"D_TYPE", "float"}, {"B_IS_FLOAT", "1"}, {"DATA_B_BF16", "1"}, {"ALIGNED", "1"}}), fp16, coopmat, coopmat2, f16acc);
}
}
@@ -454,7 +454,7 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
std::string data_a_key = "DATA_A_" + to_uppercase(tname);
// For unaligned, load one at a time for f32/f16, or two at a time for quants
std::string load_vec_a_unaligned = (coopmat2 || tname == "f32" || tname == "f16" || tname == "bf16") ? "1" : load_vec_quant;
std::string load_vec_a_unaligned = coopmat2 ? "1" : (tname == "f32" || tname == "f16" || tname == "bf16") ? "2" : load_vec_quant;
// For aligned matmul loads
std::string load_vec_a = (coopmat2 || tname == "f32" || tname == "f16" || tname == "bf16") ? load_vec : load_vec_quant;
+1 -1
View File
@@ -1 +1 @@
323951f1bdcdfbd5b5ff3a9a7c3770e63b1a560e
978f6e1993f2eeb4e99b63d4e70b4401c0a2dae2
+4 -1
View File
@@ -30,8 +30,10 @@ options:
--delay <0...N> (seconds) delay between each test (default: 0)
-o, --output <csv|json|jsonl|md|sql> output format printed to stdout (default: md)
-oe, --output-err <csv|json|jsonl|md|sql> output format printed to stderr (default: none)
--list-devices list available devices and exit
-v, --verbose verbose output
--progress print test progress indicators
-rpc, --rpc <rpc_servers> register RPC devices (comma separated)
test parameters:
-m, --model <filename> (default: models/7B/ggml-model-q4_0.gguf)
@@ -48,11 +50,12 @@ test parameters:
--cpu-strict <0|1> (default: 0)
--poll <0...100> (default: 50)
-ngl, --n-gpu-layers <n> (default: 99)
-rpc, --rpc <rpc_servers> (default: none)
-ncmoe, --n-cpu-moe <n> (default: 0)
-sm, --split-mode <none|layer|row> (default: layer)
-mg, --main-gpu <i> (default: 0)
-nkvo, --no-kv-offload <0|1> (default: 0)
-fa, --flash-attn <0|1> (default: 0)
-dev, --device <dev0/dev1/...> (default: auto)
-mmp, --mmap <0|1> (default: 1)
-embd, --embeddings <0|1> (default: 0)
-ts, --tensor-split <ts0/ts1/..> (default: 0)
+178 -75
View File
@@ -17,6 +17,7 @@
#include <string>
#include <thread>
#include <vector>
#include <unordered_set>
#include "common.h"
#include "ggml.h"
@@ -135,6 +136,101 @@ static std::string get_gpu_info() {
return join(gpu_list, ", ");
}
static std::vector<ggml_backend_dev_t> parse_devices_arg(const std::string & value) {
std::vector<ggml_backend_dev_t> devices;
std::string trimmed = string_strip(value);
if (trimmed.empty()) {
throw std::invalid_argument("no devices specified");
}
if (trimmed == "auto") {
return devices;
}
auto dev_names = string_split<std::string>(trimmed, '/');
if (dev_names.size() == 1 && string_strip(dev_names[0]) == "none") {
devices.push_back(nullptr);
return devices;
}
for (auto & name : dev_names) {
std::string dev_name = string_strip(name);
if (dev_name.empty()) {
throw std::invalid_argument("invalid device specification");
}
auto * dev = ggml_backend_dev_by_name(dev_name.c_str());
if (!dev || ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_CPU) {
throw std::invalid_argument(string_format("invalid device: %s", dev_name.c_str()));
}
devices.push_back(dev);
}
devices.push_back(nullptr);
return devices;
}
static std::vector<ggml_backend_dev_t> register_rpc_device_list(const std::string & servers) {
auto rpc_servers = string_split<std::string>(servers, ',');
if (rpc_servers.empty()) {
throw std::invalid_argument("no RPC servers specified");
}
auto * rpc_reg = ggml_backend_reg_by_name("RPC");
if (!rpc_reg) {
throw std::invalid_argument("failed to find RPC backend");
}
using add_rpc_device_fn = ggml_backend_dev_t (*)(const char * endpoint);
auto * ggml_backend_rpc_add_device_fn = (add_rpc_device_fn) ggml_backend_reg_get_proc_address(rpc_reg, "ggml_backend_rpc_add_device");
if (!ggml_backend_rpc_add_device_fn) {
throw std::invalid_argument("failed to find RPC device add function");
}
static std::unordered_set<std::string> registered;
std::vector<ggml_backend_dev_t> devices;
for (const auto & server : rpc_servers) {
ggml_backend_dev_t dev = nullptr;
std::string name = string_format("RPC[%s]", server.c_str());
if (registered.find(server) != registered.end()) {
dev = ggml_backend_dev_by_name(name.c_str());
}
if (!dev) {
dev = ggml_backend_rpc_add_device_fn(server.c_str());
if (!dev) {
throw std::invalid_argument(string_format("failed to add RPC device for server '%s'", server.c_str()));
}
ggml_backend_device_register(dev);
registered.insert(server);
}
devices.push_back(dev);
}
return devices;
}
static std::string devices_to_string(const std::vector<ggml_backend_dev_t> & devices) {
if (devices.empty()) {
return "auto";
}
if (devices.size() == 1 && devices[0] == nullptr) {
return "none";
}
std::vector<std::string> names;
for (auto * dev : devices) {
if (dev == nullptr) {
break;
}
names.push_back(ggml_backend_dev_name(dev));
}
return join(names, "/");
}
// command line params
enum output_formats { NONE, CSV, JSON, JSONL, MARKDOWN, SQL };
@@ -251,11 +347,11 @@ struct cmd_params {
std::vector<int> poll;
std::vector<int> n_gpu_layers;
std::vector<int> n_cpu_moe;
std::vector<std::string> rpc_servers;
std::vector<llama_split_mode> split_mode;
std::vector<int> main_gpu;
std::vector<bool> no_kv_offload;
std::vector<bool> flash_attn;
std::vector<std::vector<ggml_backend_dev_t>> devices;
std::vector<std::vector<float>> tensor_split;
std::vector<std::vector<llama_model_tensor_buft_override>> tensor_buft_overrides;
std::vector<bool> use_mmap;
@@ -288,11 +384,11 @@ static const cmd_params cmd_params_defaults = {
/* poll */ { 50 },
/* n_gpu_layers */ { 99 },
/* n_cpu_moe */ { 0 },
/* rpc_servers */ { "" },
/* split_mode */ { LLAMA_SPLIT_MODE_LAYER },
/* main_gpu */ { 0 },
/* no_kv_offload */ { false },
/* flash_attn */ { false },
/* devices */ { {} },
/* tensor_split */ { std::vector<float>(llama_max_devices(), 0.0f) },
/* tensor_buft_overrides*/ { std::vector<llama_model_tensor_buft_override>{ { nullptr, nullptr } } },
/* use_mmap */ { true },
@@ -325,9 +421,13 @@ static void print_usage(int /* argc */, char ** argv) {
output_format_str(cmd_params_defaults.output_format));
printf(" -oe, --output-err <csv|json|jsonl|md|sql> output format printed to stderr (default: %s)\n",
output_format_str(cmd_params_defaults.output_format_stderr));
printf(" --list-devices list available devices and exit\n");
printf(" -v, --verbose verbose output\n");
printf(" --progress print test progress indicators\n");
printf(" --no-warmup skip warmup runs before benchmarking\n");
if (llama_supports_rpc()) {
printf(" -rpc, --rpc <rpc_servers> register RPC devices (comma separated)\n");
}
printf("\n");
printf("test parameters:\n");
printf(" -m, --model <filename> (default: %s)\n", join(cmd_params_defaults.model, ",").c_str());
@@ -357,10 +457,6 @@ static void print_usage(int /* argc */, char ** argv) {
join(cmd_params_defaults.n_gpu_layers, ",").c_str());
printf(" -ncmoe, --n-cpu-moe <n> (default: %s)\n",
join(cmd_params_defaults.n_cpu_moe, ",").c_str());
if (llama_supports_rpc()) {
printf(" -rpc, --rpc <rpc_servers> (default: %s)\n",
join(cmd_params_defaults.rpc_servers, ",").c_str());
}
printf(" -sm, --split-mode <none|layer|row> (default: %s)\n",
join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str());
printf(" -mg, --main-gpu <i> (default: %s)\n",
@@ -369,6 +465,7 @@ static void print_usage(int /* argc */, char ** argv) {
join(cmd_params_defaults.no_kv_offload, ",").c_str());
printf(" -fa, --flash-attn <0|1> (default: %s)\n",
join(cmd_params_defaults.flash_attn, ",").c_str());
printf(" -dev, --device <dev0/dev1/...> (default: auto)\n");
printf(" -mmp, --mmap <0|1> (default: %s)\n",
join(cmd_params_defaults.use_mmap, ",").c_str());
printf(" -embd, --embeddings <0|1> (default: %s)\n",
@@ -533,6 +630,42 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
break;
}
params.type_v.insert(params.type_v.end(), types.begin(), types.end());
} else if (arg == "-dev" || arg == "--device") {
if (++i >= argc) {
invalid_param = true;
break;
}
auto combos = string_split<std::string>(argv[i], split_delim);
for (const auto & combo : combos) {
try {
params.devices.push_back(parse_devices_arg(combo));
} catch (const std::exception & e) {
fprintf(stderr, "error: %s\n", e.what());
invalid_param = true;
break;
}
}
if (invalid_param) {
break;
}
} else if (arg == "--list-devices") {
std::vector<ggml_backend_dev_t> devices;
for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
auto * dev = ggml_backend_dev_get(i);
if (ggml_backend_dev_type(dev) != GGML_BACKEND_DEVICE_TYPE_CPU) {
devices.push_back(dev);
}
}
printf("Available devices:\n");
if (devices.empty()) {
printf(" (none)\n");
}
for (auto * dev : devices) {
size_t free, total;
ggml_backend_dev_memory(dev, &free, &total);
printf(" %s: %s (%zu MiB, %zu MiB free)\n", ggml_backend_dev_name(dev), ggml_backend_dev_description(dev), total / 1024 / 1024, free / 1024 / 1024);
}
exit(0);
} else if (arg == "-t" || arg == "--threads") {
if (++i >= argc) {
invalid_param = true;
@@ -580,7 +713,13 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
invalid_param = true;
break;
}
params.rpc_servers.push_back(argv[i]);
try {
register_rpc_device_list(argv[i]);
} catch (const std::exception & e) {
fprintf(stderr, "error: %s\n", e.what());
invalid_param = true;
break;
}
} else if (arg == "-sm" || arg == "--split-mode") {
if (++i >= argc) {
invalid_param = true;
@@ -855,9 +994,6 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
if (params.n_cpu_moe.empty()) {
params.n_cpu_moe = cmd_params_defaults.n_cpu_moe;
}
if (params.rpc_servers.empty()) {
params.rpc_servers = cmd_params_defaults.rpc_servers;
}
if (params.split_mode.empty()) {
params.split_mode = cmd_params_defaults.split_mode;
}
@@ -870,6 +1006,9 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
if (params.flash_attn.empty()) {
params.flash_attn = cmd_params_defaults.flash_attn;
}
if (params.devices.empty()) {
params.devices = cmd_params_defaults.devices;
}
if (params.tensor_split.empty()) {
params.tensor_split = cmd_params_defaults.tensor_split;
}
@@ -916,11 +1055,11 @@ struct cmd_params_instance {
int poll;
int n_gpu_layers;
int n_cpu_moe;
std::string rpc_servers_str;
llama_split_mode split_mode;
int main_gpu;
bool no_kv_offload;
bool flash_attn;
std::vector<ggml_backend_dev_t> devices;
std::vector<float> tensor_split;
std::vector<llama_model_tensor_buft_override> tensor_buft_overrides;
bool use_mmap;
@@ -931,57 +1070,8 @@ struct cmd_params_instance {
llama_model_params mparams = llama_model_default_params();
mparams.n_gpu_layers = n_gpu_layers;
if (!rpc_servers_str.empty()) {
auto rpc_servers = string_split<std::string>(rpc_servers_str, ',');
// add RPC devices
if (!rpc_servers.empty()) {
ggml_backend_reg_t rpc_reg = ggml_backend_reg_by_name("RPC");
if (!rpc_reg) {
fprintf(stderr, "%s: failed to find RPC backend\n", __func__);
exit(1);
}
typedef ggml_backend_dev_t (*ggml_backend_rpc_add_device_t)(const char * endpoint);
ggml_backend_rpc_add_device_t ggml_backend_rpc_add_device_fn = (ggml_backend_rpc_add_device_t) ggml_backend_reg_get_proc_address(rpc_reg, "ggml_backend_rpc_add_device");
if (!ggml_backend_rpc_add_device_fn) {
fprintf(stderr, "%s: failed to find RPC device add function\n", __func__);
exit(1);
}
static std::vector<ggml_backend_dev_t> devices;
devices.clear();
// RPC devices should always come first for performance reasons
for (const std::string & server : rpc_servers) {
ggml_backend_dev_t dev = ggml_backend_rpc_add_device_fn(server.c_str());
if (dev) {
devices.push_back(dev);
} else {
fprintf(stderr, "%s: failed to add RPC device for server '%s'\n", __func__, server.c_str());
exit(1);
}
}
// FIXME: use llama.cpp device selection logic
// add local GPU devices if any
for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
ggml_backend_dev_t dev = ggml_backend_dev_get(i);
switch (ggml_backend_dev_type(dev)) {
case GGML_BACKEND_DEVICE_TYPE_CPU:
case GGML_BACKEND_DEVICE_TYPE_ACCEL:
// skip CPU backends since they are handled separately
break;
case GGML_BACKEND_DEVICE_TYPE_GPU:
devices.push_back(dev);
break;
case GGML_BACKEND_DEVICE_TYPE_IGPU:
// iGPUs are not used when there are RPC servers
break;
}
}
devices.push_back(nullptr);
mparams.devices = devices.data();
}
if (!devices.empty()) {
mparams.devices = const_cast<ggml_backend_dev_t *>(devices.data());
}
mparams.split_mode = split_mode;
mparams.main_gpu = main_gpu;
@@ -1029,8 +1119,9 @@ struct cmd_params_instance {
bool equal_mparams(const cmd_params_instance & other) const {
return model == other.model && n_gpu_layers == other.n_gpu_layers && n_cpu_moe == other.n_cpu_moe &&
rpc_servers_str == other.rpc_servers_str && split_mode == other.split_mode &&
split_mode == other.split_mode &&
main_gpu == other.main_gpu && use_mmap == other.use_mmap && tensor_split == other.tensor_split &&
devices == other.devices &&
vec_tensor_buft_override_equal(tensor_buft_overrides, other.tensor_buft_overrides);
}
@@ -1060,9 +1151,9 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
for (const auto & m : params.model)
for (const auto & nl : params.n_gpu_layers)
for (const auto & ncmoe : params.n_cpu_moe)
for (const auto & rpc : params.rpc_servers)
for (const auto & sm : params.split_mode)
for (const auto & mg : params.main_gpu)
for (const auto & devs : params.devices)
for (const auto & ts : params.tensor_split)
for (const auto & ot : params.tensor_buft_overrides)
for (const auto & mmp : params.use_mmap)
@@ -1098,11 +1189,11 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
/* .poll = */ pl,
/* .n_gpu_layers = */ nl,
/* .n_cpu_moe = */ ncmoe,
/* .rpc_servers = */ rpc,
/* .split_mode = */ sm,
/* .main_gpu = */ mg,
/* .no_kv_offload= */ nkvo,
/* .flash_attn = */ fa,
/* .devices = */ devs,
/* .tensor_split = */ ts,
/* .tensor_buft_overrides = */ ot,
/* .use_mmap = */ mmp,
@@ -1131,11 +1222,11 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
/* .poll = */ pl,
/* .n_gpu_layers = */ nl,
/* .n_cpu_moe = */ ncmoe,
/* .rpc_servers = */ rpc,
/* .split_mode = */ sm,
/* .main_gpu = */ mg,
/* .no_kv_offload= */ nkvo,
/* .flash_attn = */ fa,
/* .devices = */ devs,
/* .tensor_split = */ ts,
/* .tensor_buft_overrides = */ ot,
/* .use_mmap = */ mmp,
@@ -1164,11 +1255,11 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
/* .poll = */ pl,
/* .n_gpu_layers = */ nl,
/* .n_cpu_moe = */ ncmoe,
/* .rpc_servers = */ rpc,
/* .split_mode = */ sm,
/* .main_gpu = */ mg,
/* .no_kv_offload= */ nkvo,
/* .flash_attn = */ fa,
/* .devices = */ devs,
/* .tensor_split = */ ts,
/* .tensor_buft_overrides = */ ot,
/* .use_mmap = */ mmp,
@@ -1206,6 +1297,7 @@ struct test {
int main_gpu;
bool no_kv_offload;
bool flash_attn;
std::vector<ggml_backend_dev_t> devices;
std::vector<float> tensor_split;
std::vector<llama_model_tensor_buft_override> tensor_buft_overrides;
bool use_mmap;
@@ -1241,6 +1333,7 @@ struct test {
main_gpu = inst.main_gpu;
no_kv_offload = inst.no_kv_offload;
flash_attn = inst.flash_attn;
devices = inst.devices;
tensor_split = inst.tensor_split;
tensor_buft_overrides = inst.tensor_buft_overrides;
use_mmap = inst.use_mmap;
@@ -1287,14 +1380,14 @@ struct test {
static const std::vector<std::string> & get_fields() {
static const std::vector<std::string> fields = {
"build_commit", "build_number", "cpu_info", "gpu_info", "backends",
"model_filename", "model_type", "model_size", "model_n_params", "n_batch",
"n_ubatch", "n_threads", "cpu_mask", "cpu_strict", "poll",
"type_k", "type_v", "n_gpu_layers", "n_cpu_moe", "split_mode",
"main_gpu", "no_kv_offload", "flash_attn", "tensor_split", "tensor_buft_overrides",
"use_mmap", "embeddings", "no_op_offload", "n_prompt", "n_gen",
"n_depth", "test_time", "avg_ns", "stddev_ns", "avg_ts",
"stddev_ts"
"build_commit", "build_number", "cpu_info", "gpu_info", "backends",
"model_filename", "model_type", "model_size", "model_n_params", "n_batch",
"n_ubatch", "n_threads", "cpu_mask", "cpu_strict", "poll",
"type_k", "type_v", "n_gpu_layers", "n_cpu_moe", "split_mode",
"main_gpu", "no_kv_offload", "flash_attn", "devices", "tensor_split",
"tensor_buft_overrides", "use_mmap", "embeddings", "no_op_offload",
"n_prompt", "n_gen", "n_depth", "test_time", "avg_ns",
"stddev_ns", "avg_ts", "stddev_ts"
};
return fields;
}
@@ -1378,6 +1471,7 @@ struct test {
std::to_string(main_gpu),
std::to_string(no_kv_offload),
std::to_string(flash_attn),
devices_to_string(devices),
tensor_split_str,
tensor_buft_overrides_str,
std::to_string(use_mmap),
@@ -1559,6 +1653,9 @@ struct markdown_printer : public printer {
if (field == "flash_attn") {
return 2;
}
if (field == "devices") {
return -12;
}
if (field == "use_mmap") {
return 4;
}
@@ -1602,6 +1699,9 @@ struct markdown_printer : public printer {
if (field == "no_op_offload") {
return "nopo";
}
if (field == "devices") {
return "dev";
}
if (field == "tensor_split") {
return "ts";
}
@@ -1661,6 +1761,9 @@ struct markdown_printer : public printer {
if (params.flash_attn.size() > 1 || params.flash_attn != cmd_params_defaults.flash_attn) {
fields.emplace_back("flash_attn");
}
if (params.devices.size() > 1 || params.devices != cmd_params_defaults.devices) {
fields.emplace_back("devices");
}
if (params.tensor_split.size() > 1 || params.tensor_split != cmd_params_defaults.tensor_split) {
fields.emplace_back("tensor_split");
}
+3 -3
View File
@@ -4679,17 +4679,17 @@ int main(int argc, char ** argv) {
json res_json = result->to_json();
if (res_json.is_array()) {
for (const auto & res : res_json) {
if (!server_sent_event(sink, "data", res)) {
if (!server_sent_event(sink, res)) {
// sending failed (HTTP connection closed), cancel the generation
return false;
}
}
return true;
} else {
return server_sent_event(sink, "data", res_json);
return server_sent_event(sink, res_json);
}
}, [&](const json & error_data) {
server_sent_event(sink, "error", error_data);
server_sent_event(sink, json{{"error", error_data}});
}, [&sink]() {
// note: do not use req.is_connection_closed here because req is already destroyed
return !sink.is_writable();
+2 -2
View File
@@ -459,9 +459,9 @@ static std::string tokens_to_output_formatted_string(const llama_context * ctx,
return out;
}
static bool server_sent_event(httplib::DataSink & sink, const char * event, const json & data) {
static bool server_sent_event(httplib::DataSink & sink, const json & data) {
const std::string str =
std::string(event) + ": " +
"data: " +
data.dump(-1, ' ', false, json::error_handler_t::replace) +
"\n\n"; // required by RFC 8895 - A message is terminated by a blank line (two line terminators in a row).