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6 Commits

Author SHA1 Message Date
Georgi Gerganov 02a6a82ae7 metal : restore im2col perf (#16219) 2025-09-25 11:29:08 +03:00
Radoslav Gerganov c498fc82fe rpc : use ggml logging facilities
Use RPC_DEBUG environment variable to enable debug messages.
Add helper macro LOG_DBG() which does an early
check of the env var before calling GGML_LOG_DEBUG().
Make sure we log a debug message for every server function.
2025-09-25 07:20:02 +00:00
Aaron Teo e7a5130a20 codeowners: add ownership of zdnn backend [no ci] (#16232)
add @Andreas-Krebbel to owners of zDNN backend

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
2025-09-25 08:06:30 +03:00
Eve bee378e098 ci: run the x64 and arm ci on the github machines instead (#16183)
* run the x64 ci on regular machines

* set up the same thing for arm

fix test-quantize-perf just like #12306

* try to disable sve

* add another sve run
2025-09-25 08:06:06 +03:00
Aaron Teo 5fb557653b devops: fix s390x docker release failure (#16231) 2025-09-25 11:36:30 +08:00
Aaron Teo 4ae88d07d0 codeowners: add ownership of zdnn backend [no ci] (#16229)
add @AlekseiNikiforovIBM to owners of zDNN backend

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
2025-09-25 00:25:04 +08:00
9 changed files with 248 additions and 160 deletions
+13 -12
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@@ -2,10 +2,10 @@ ARG GCC_VERSION=15.2.0
ARG UBUNTU_VERSION=24.04
### Build Llama.cpp stage
FROM --platform=linux/s390x gcc:${GCC_VERSION} AS build
FROM gcc:${GCC_VERSION} AS build
RUN --mount=type=cache,target=/var/cache/apt \
--mount=type=cache,target=/var/lib/apt/lists \
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
--mount=type=cache,target=/var/lib/apt/lists,sharing=locked \
apt update -y && \
apt upgrade -y && \
apt install -y --no-install-recommends \
@@ -40,7 +40,7 @@ COPY requirements /opt/llama.cpp/gguf-py/requirements
### Collect all llama.cpp binaries, libraries and distro libraries
FROM --platform=linux/s390x scratch AS collector
FROM scratch AS collector
# Copy llama.cpp binaries and libraries
COPY --from=build /opt/llama.cpp/bin /llama.cpp/bin
@@ -49,13 +49,14 @@ COPY --from=build /opt/llama.cpp/gguf-py /llama.cpp/gguf-py
### Base image
FROM --platform=linux/s390x ubuntu:${UBUNTU_VERSION} AS base
FROM ubuntu:${UBUNTU_VERSION} AS base
RUN --mount=type=cache,target=/var/cache/apt \
--mount=type=cache,target=/var/lib/apt/lists \
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
--mount=type=cache,target=/var/lib/apt/lists,sharing=locked \
apt update -y && \
apt install -y --no-install-recommends \
# WARNING: Do not use libopenblas-openmp-dev. libopenblas-dev is faster.
# See: https://github.com/ggml-org/llama.cpp/pull/15915#issuecomment-3317166506
curl libgomp1 libopenblas-dev && \
apt autoremove -y && \
apt clean -y && \
@@ -68,13 +69,13 @@ COPY --from=collector /llama.cpp/lib /usr/lib/s390x-linux-gnu
### Full
FROM --platform=linux/s390x base AS full
FROM base AS full
ENV PATH="/root/.cargo/bin:${PATH}"
WORKDIR /app
RUN --mount=type=cache,target=/var/cache/apt \
--mount=type=cache,target=/var/lib/apt/lists \
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
--mount=type=cache,target=/var/lib/apt/lists,sharing=locked \
apt update -y && \
apt install -y \
git cmake libjpeg-dev \
@@ -97,7 +98,7 @@ ENTRYPOINT [ "/app/tools.sh" ]
### CLI Only
FROM --platform=linux/s390x base AS light
FROM base AS light
WORKDIR /llama.cpp/bin
@@ -108,7 +109,7 @@ ENTRYPOINT [ "/llama.cpp/bin/llama-cli" ]
### Server
FROM --platform=linux/s390x base AS server
FROM base AS server
ENV LLAMA_ARG_HOST=0.0.0.0
+81 -8
View File
@@ -1251,56 +1251,129 @@ jobs:
# TODO: simplify the following workflows using a matrix
# TODO: run lighter CI on PRs and the full CI only on master (if needed)
ggml-ci-x64-cpu-low-perf:
runs-on: [self-hosted, Linux, X64, CPU, low-perf]
runs-on: ubuntu-22.04
steps:
- name: Clone
id: checkout
uses: actions/checkout@v4
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-x64-cpu-low-perf
evict-old-files: 1d
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential libcurl4-openssl-dev
- name: Test
id: ggml-ci
run: |
bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
ggml-ci-arm64-cpu-low-perf:
runs-on: [self-hosted, Linux, ARM64, CPU, low-perf]
runs-on: ubuntu-22.04-arm
steps:
- name: Clone
id: checkout
uses: actions/checkout@v4
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-arm64-cpu-low-perf
evict-old-files: 1d
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential libcurl4-openssl-dev
- name: Test
id: ggml-ci
run: |
bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
ggml-ci-x64-cpu-high-perf:
runs-on: [self-hosted, Linux, X64, CPU, high-perf]
runs-on: ubuntu-22.04
steps:
- name: Clone
id: checkout
uses: actions/checkout@v4
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-x64-cpu-high-perf
evict-old-files: 1d
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential libcurl4-openssl-dev
- name: Test
id: ggml-ci
run: |
bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
LLAMA_ARG_THREADS=$(nproc) bash ./ci/run.sh ./tmp/results ./tmp/mnt
ggml-ci-arm64-cpu-high-perf:
runs-on: [self-hosted, Linux, ARM64, CPU, high-perf]
runs-on: ubuntu-22.04-arm
steps:
- name: Clone
id: checkout
uses: actions/checkout@v4
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-arm64-cpu-high-perf
evict-old-files: 1d
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential libcurl4-openssl-dev
- name: Test
id: ggml-ci
run: |
GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_NO_SVE=1 GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
ggml-ci-arm64-cpu-high-perf-sve:
runs-on: ubuntu-22.04-arm
steps:
- name: Clone
id: checkout
uses: actions/checkout@v4
- name: ccache
uses: ggml-org/ccache-action@v1.2.16
with:
key: ggml-ci-arm64-cpu-high-perf-sve
evict-old-files: 1d
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential libcurl4-openssl-dev
- name: Test
id: ggml-ci
run: |
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
ggml-ci-x64-nvidia-cuda:
runs-on: [self-hosted, Linux, X64, NVIDIA]
+1 -1
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@@ -63,7 +63,7 @@
/ggml/src/ggml-quants.* @ggerganov
/ggml/src/ggml-threading.* @ggerganov @slaren
/ggml/src/ggml-vulkan/ @0cc4m
/ggml/src/ggml-zdnn/ @taronaeo
/ggml/src/ggml-zdnn/ @taronaeo @Andreas-Krebbel @AlekseiNikiforovIBM
/ggml/src/ggml.c @ggerganov @slaren
/ggml/src/ggml.cpp @ggerganov @slaren
/ggml/src/gguf.cpp @JohannesGaessler @Green-Sky
+16 -11
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@@ -109,6 +109,11 @@ if [ ! -z ${GG_BUILD_MUSA} ]; then
MUSA_ARCH=${MUSA_ARCH:-21}
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_MUSA=ON -DMUSA_ARCHITECTURES=${MUSA_ARCH}"
fi
if [ ! -z ${GG_BUILD_NO_SVE} ]; then
# arm 9 and newer enables sve by default, adjust these flags depending on the cpu used
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8.5-a+fp16+i8mm"
fi
## helpers
# download a file if it does not exist or if it is outdated
@@ -345,16 +350,16 @@ function gg_run_qwen3_0_6b {
wiki_test="${path_wiki}/wiki.test.raw"
./bin/llama-quantize ${model_bf16} ${model_q8_0} q8_0
./bin/llama-quantize ${model_bf16} ${model_q4_0} q4_0
./bin/llama-quantize ${model_bf16} ${model_q4_1} q4_1
./bin/llama-quantize ${model_bf16} ${model_q5_0} q5_0
./bin/llama-quantize ${model_bf16} ${model_q5_1} q5_1
./bin/llama-quantize ${model_bf16} ${model_q2_k} q2_k
./bin/llama-quantize ${model_bf16} ${model_q3_k} q3_k
./bin/llama-quantize ${model_bf16} ${model_q4_k} q4_k
./bin/llama-quantize ${model_bf16} ${model_q5_k} q5_k
./bin/llama-quantize ${model_bf16} ${model_q6_k} q6_k
./bin/llama-quantize ${model_bf16} ${model_q8_0} q8_0 $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q4_0} q4_0 $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q4_1} q4_1 $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q5_0} q5_0 $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q5_1} q5_1 $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q2_k} q2_k $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q3_k} q3_k $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q4_k} q4_k $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q5_k} q5_k $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q6_k} q6_k $(nproc)
(time ./bin/llama-cli -no-cnv --model ${model_f16} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
(time ./bin/llama-cli -no-cnv --model ${model_bf16} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-bf16.log
@@ -427,7 +432,7 @@ function gg_run_qwen3_0_6b {
function gg_sum_qwen3_0_6b {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Pythia 2.8B:\n'
gg_printf 'Qwen3 0.6B:\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '- perplexity:\n%s\n' "$(cat $OUT/${ci}-ppl.log)"
gg_printf '- imatrix:\n```\n%s\n```\n' "$(cat $OUT/${ci}-imatrix-sum.log)"
+1 -1
View File
@@ -1237,7 +1237,7 @@ ggml_metal_pipeline_t ggml_metal_library_get_pipeline_im2col(ggml_metal_library_
char base[256];
char name[256];
snprintf(base, 256, "kernel_im2col_ext_%s", ggml_type_name(op->type));
snprintf(base, 256, "kernel_im2col_%s", ggml_type_name(op->type));
snprintf(name, 256, "%s", base);
ggml_metal_pipeline_t res = ggml_metal_library_get_pipeline(lib, name);
+4 -4
View File
@@ -2768,7 +2768,6 @@ int ggml_metal_op_im2col(ggml_metal_op_t ctx, int idx) {
const uint64_t ofs0 = op->src[1]->nb[is_2D ? 3 : 2] / 4;
const uint64_t ofs1 = op->src[1]->nb[is_2D ? 2 : 1] / 4;
ggml_metal_kargs_im2col args = {
/*.ofs0 =*/ ofs0,
/*.ofs1 =*/ ofs1,
@@ -2789,15 +2788,16 @@ int ggml_metal_op_im2col(ggml_metal_op_t ctx, int idx) {
ggml_metal_pipeline_t pipeline = ggml_metal_library_get_pipeline_im2col(lib, op);
const uint64_t n_threads = std::min(ggml_metal_pipeline_max_theads_per_threadgroup(pipeline), N);
const int64_t quotient = N / n_threads + (N % n_threads > 0 ? 1 : 0);
GGML_ASSERT(KH*KW <= ggml_metal_pipeline_max_theads_per_threadgroup(pipeline));
const uint64_t ntptg0 = std::min(ggml_metal_pipeline_max_theads_per_threadgroup(pipeline)/(KH*KW), N);
ggml_metal_encoder_set_pipeline(enc, pipeline);
ggml_metal_encoder_set_bytes (enc, &args, sizeof(args), 0);
ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op->src[1]), 1);
ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op), 2);
ggml_metal_encoder_dispatch_threadgroups(enc, quotient * CHW, OH, OW, n_threads, 1, 1);
ggml_metal_encoder_dispatch_threadgroups(enc, IC, OH, OW, ntptg0, KH, KW);
return 1;
}
+90 -78
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@@ -3987,60 +3987,7 @@ template [[host_name("kernel_rope_multi_f16")]] kernel kernel_rope_multi_t kerne
template [[host_name("kernel_rope_vision_f32")]] kernel kernel_rope_vision_t kernel_rope_vision<float>;
template [[host_name("kernel_rope_vision_f16")]] kernel kernel_rope_vision_t kernel_rope_vision<half>;
// TODO: obolete -- remove
//typedef void (im2col_t)(
// constant ggml_metal_kargs_im2col & args,
// device const float * x,
// device char * dst,
// uint3 tgpig[[threadgroup_position_in_grid]],
// uint3 tgpg[[threadgroups_per_grid]],
// uint3 tpitg[[thread_position_in_threadgroup]],
// uint3 ntg[[threads_per_threadgroup]]);
//
//template <typename T>
//kernel void kernel_im2col(
// constant ggml_metal_kargs_im2col & args,
// device const float * x,
// device char * dst,
// uint3 tgpig[[threadgroup_position_in_grid]],
// uint3 tgpg[[threadgroups_per_grid]],
// uint3 tpitg[[thread_position_in_threadgroup]],
// uint3 ntg[[threads_per_threadgroup]]) {
//// const int64_t IC = tgpg[0];
// const int64_t OH = tgpg[1];
// const int64_t OW = tgpg[2];
//
//// const int64_t N = ntg[0];
// const int64_t KH = ntg[1];
// const int64_t KW = ntg[2];
//
// const int64_t in = tpitg[0];
// const int64_t ikh = tpitg[1];
// const int64_t ikw = tpitg[2];
//
// const int64_t iic = tgpig[0];
// const int64_t ioh = tgpig[1];
// const int64_t iow = tgpig[2];
//
// const int64_t iiw = iow*args.s0 + ikw*args.d0 - args.p0;
// const int64_t iih = ioh*args.s1 + ikh*args.d1 - args.p1;
//
// const int64_t offset_dst = (in*OH*OW + ioh*OW + iow)*args.CHW + (iic*(KH*KW) + ikh*KW + ikw);
//
// device T * pdst = (device T *) (dst);
//
// if (iih < 0 || iih >= args.IH || iiw < 0 || iiw >= args.IW) {
// pdst[offset_dst] = 0.0f;
// } else {
// const int64_t offset_src = in*args.ofs0 + iic*args.ofs1 + iih*args.IW + iiw;
// pdst[offset_dst] = x[offset_src];
// }
//}
//
//template [[host_name("kernel_im2col_f32")]] kernel im2col_t kernel_im2col<float>;
//template [[host_name("kernel_im2col_f16")]] kernel im2col_t kernel_im2col<half>;
typedef void (im2col_ext_t)(
typedef void (im2col_t)(
constant ggml_metal_kargs_im2col & args,
device const float * x,
device char * dst,
@@ -4050,48 +3997,113 @@ typedef void (im2col_ext_t)(
uint3 ntg[[threads_per_threadgroup]]);
template <typename T>
kernel void kernel_im2col_ext(
kernel void kernel_im2col(
constant ggml_metal_kargs_im2col & args,
device const float * x,
device char * dst,
uint3 tgpig[[threadgroup_position_in_grid]],
uint3 tgpg[[threadgroups_per_grid]], // tgpg[0] = D x IC x KH x KW, CHW = IC x KH x KW
uint3 tgpg[[threadgroups_per_grid]],
uint3 tpitg[[thread_position_in_threadgroup]],
uint3 ntg[[threads_per_threadgroup]]) { // [M, 1, 1]
const int64_t KHW = (int64_t)args.KHW;
uint3 ntg[[threads_per_threadgroup]]) {
// const int64_t IC = tgpg[0];
const int64_t OH = tgpg[1];
const int64_t OW = tgpg[2];
const int64_t d = tgpig[0] / args.CHW;
const int64_t chw = tgpig[0] % args.CHW;
const int64_t tgpig_0 = chw / KHW; // 0 ~ (IC - 1)
const int64_t HW = tgpig[0] % KHW;
const int64_t KH = ntg[1];
const int64_t KW = ntg[2];
const int64_t tpitg_0 = (d * ntg[0]) + tpitg[0];
if (tpitg_0 >= args.N) {
return;
}
int64_t in = tpitg[0];
const int64_t ikh = tpitg[1];
const int64_t ikw = tpitg[2];
const int64_t tpitg_1 = HW / args.KW;
const int64_t tpitg_2 = HW % args.KW;
const int64_t iic = tgpig[0];
const int64_t ioh = tgpig[1];
const int64_t iow = tgpig[2];
const int64_t iiw = tgpig[2] * args.s0 + tpitg_2 * args.d0 - args.p0;
const int64_t iih = tgpig[1] * args.s1 + tpitg_1 * args.d1 - args.p1;
const int64_t iiw = iow*args.s0 + ikw*args.d0 - args.p0;
const int64_t iih = ioh*args.s1 + ikh*args.d1 - args.p1;
const int64_t offset_dst =
(tpitg_0 * tgpg[1] * tgpg[2] + tgpig[1] * tgpg[2] + tgpig[2]) * args.CHW +
(tgpig_0 * KHW + tpitg_1 * args.KW + tpitg_2);
int64_t offset_dst = (in*OH*OW + ioh*OW + iow)*args.CHW + (iic*(KH*KW) + ikh*KW + ikw);
device T * pdst = (device T *) (dst);
if (iih < 0 || iih >= args.IH || iiw < 0 || iiw >= args.IW) {
pdst[offset_dst] = 0.0f;
while (in < args.N) {
pdst[offset_dst] = 0.0f;
offset_dst += ntg[0]*args.CHW*OH*OW;
in += ntg[0];
}
} else {
const int64_t offset_src = tpitg_0 * args.ofs0 + tgpig_0 * args.ofs1;
pdst[offset_dst] = x[offset_src + iih * args.IW + iiw];
int64_t offset_src = in*args.ofs0 + iic*args.ofs1 + iih*args.IW + iiw;
while (in < args.N) {
pdst[offset_dst] = x[offset_src];
offset_dst += ntg[0]*args.CHW*OH*OW;
offset_src += ntg[0]*args.ofs0;
in += ntg[0];
}
}
}
template [[host_name("kernel_im2col_ext_f32")]] kernel im2col_ext_t kernel_im2col_ext<float>;
template [[host_name("kernel_im2col_ext_f16")]] kernel im2col_ext_t kernel_im2col_ext<half>;
template [[host_name("kernel_im2col_f32")]] kernel im2col_t kernel_im2col<float>;
template [[host_name("kernel_im2col_f16")]] kernel im2col_t kernel_im2col<half>;
// TODO: obolete -- remove
//typedef void (im2col_ext_t)(
// constant ggml_metal_kargs_im2col & args,
// device const float * x,
// device char * dst,
// uint3 tgpig[[threadgroup_position_in_grid]],
// uint3 tgpg[[threadgroups_per_grid]],
// uint3 tpitg[[thread_position_in_threadgroup]],
// uint3 ntg[[threads_per_threadgroup]]);
//
//template <typename T>
//kernel void kernel_im2col_ext(
// constant ggml_metal_kargs_im2col & args,
// device const float * x,
// device char * dst,
// uint3 tgpig[[threadgroup_position_in_grid]],
// uint3 tgpg[[threadgroups_per_grid]], // tgpg[0] = D x IC x KH x KW, CHW = IC x KH x KW
// uint3 tpitg[[thread_position_in_threadgroup]],
// uint3 ntg[[threads_per_threadgroup]]) { // [M, 1, 1]
// const int64_t KHW = (int64_t)args.KHW;
//
// const int64_t d = tgpig[0] / args.CHW;
// const int64_t chw = tgpig[0] % args.CHW;
// const int64_t tgpig_0 = chw / KHW; // 0 ~ (IC - 1)
// const int64_t HW = tgpig[0] % KHW;
//
// const int64_t tpitg_0 = (d * ntg[0]) + tpitg[0];
// if (tpitg_0 >= args.N) {
// return;
// }
//
// const int64_t tpitg_1 = HW / args.KW;
// const int64_t tpitg_2 = HW % args.KW;
//
// const int64_t iiw = tgpig[2] * args.s0 + tpitg_2 * args.d0 - args.p0;
// const int64_t iih = tgpig[1] * args.s1 + tpitg_1 * args.d1 - args.p1;
//
// const int64_t offset_dst =
// (tpitg_0 * tgpg[1] * tgpg[2] + tgpig[1] * tgpg[2] + tgpig[2]) * args.CHW +
// (tgpig_0 * KHW + tpitg_1 * args.KW + tpitg_2);
//
// device T * pdst = (device T *) (dst);
//
// if (iih < 0 || iih >= args.IH || iiw < 0 || iiw >= args.IW) {
// pdst[offset_dst] = 0.0f;
// } else {
// const int64_t offset_src = tpitg_0 * args.ofs0 + tgpig_0 * args.ofs1;
// pdst[offset_dst] = x[offset_src + iih * args.IW + iiw];
// }
//}
//
//template [[host_name("kernel_im2col_ext_f32")]] kernel im2col_ext_t kernel_im2col_ext<float>;
//template [[host_name("kernel_im2col_ext_f16")]] kernel im2col_ext_t kernel_im2col_ext<half>;
typedef void (conv_transpose_1d_t)(
constant ggml_metal_kargs_conv_transpose_1d & args,
+41 -35
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@@ -31,6 +31,12 @@
#include <filesystem>
#include <algorithm>
static const char * RPC_DEBUG = std::getenv("GGML_RPC_DEBUG");
#define LOG_DBG(...) \
do { if (RPC_DEBUG) GGML_LOG_DEBUG(__VA_ARGS__); } while (0)
namespace fs = std::filesystem;
static constexpr size_t MAX_CHUNK_SIZE = 1024ull * 1024ull * 1024ull; // 1 GiB
@@ -47,7 +53,7 @@ struct socket_t {
sockfd_t fd;
socket_t(sockfd_t fd) : fd(fd) {}
~socket_t() {
GGML_PRINT_DEBUG("[%s] closing socket %d\n", __func__, this->fd);
LOG_DBG("[%s] closing socket %d\n", __func__, this->fd);
#ifdef _WIN32
closesocket(this->fd);
#else
@@ -265,14 +271,14 @@ static std::shared_ptr<socket_t> socket_connect(const char * host, int port) {
return nullptr;
}
if (!set_no_delay(sockfd)) {
fprintf(stderr, "Failed to set TCP_NODELAY\n");
GGML_LOG_ERROR("Failed to set TCP_NODELAY\n");
return nullptr;
}
addr.sin_family = AF_INET;
addr.sin_port = htons(port);
struct hostent * server = gethostbyname(host);
if (server == NULL) {
fprintf(stderr, "Cannot resolve host '%s'\n", host);
GGML_LOG_ERROR("Cannot resolve host '%s'\n", host);
return nullptr;
}
memcpy(&addr.sin_addr.s_addr, server->h_addr, server->h_length);
@@ -289,7 +295,7 @@ static std::shared_ptr<socket_t> socket_accept(sockfd_t srv_sockfd) {
return nullptr;
}
if (!set_no_delay(client_socket_fd)) {
fprintf(stderr, "Failed to set TCP_NODELAY\n");
GGML_LOG_ERROR("Failed to set TCP_NODELAY\n");
return nullptr;
}
return client_socket;
@@ -302,11 +308,11 @@ static std::shared_ptr<socket_t> create_server_socket(const char * host, int por
return nullptr;
}
if (!set_reuse_addr(sockfd)) {
fprintf(stderr, "Failed to set SO_REUSEADDR\n");
GGML_LOG_ERROR("Failed to set SO_REUSEADDR\n");
return nullptr;
}
if (inet_addr(host) == INADDR_NONE) {
fprintf(stderr, "Invalid host address: %s\n", host);
GGML_LOG_ERROR("Invalid host address: %s\n", host);
return nullptr;
}
struct sockaddr_in serv_addr;
@@ -349,7 +355,7 @@ static bool recv_data(sockfd_t sockfd, void * data, size_t size) {
return false;
}
if (n == 0) {
GGML_LOG_ERROR("recv returned 0 (peer closed?)\n");
LOG_DBG("recv returned 0 (peer closed?)\n");
return false;
}
bytes_recv += (size_t)n;
@@ -383,7 +389,7 @@ static bool recv_msg(sockfd_t sockfd, std::vector<uint8_t> & input) {
try {
input.resize(size);
} catch (const std::bad_alloc & e) {
fprintf(stderr, "Failed to allocate input buffer of size %" PRIu64 "\n", size);
GGML_LOG_ERROR("Failed to allocate input buffer of size %" PRIu64 "\n", size);
return false;
}
return recv_data(sockfd, input.data(), size);
@@ -443,11 +449,11 @@ static bool check_server_version(const std::shared_ptr<socket_t> & sock) {
bool status = send_rpc_cmd(sock, RPC_CMD_HELLO, nullptr, 0, &response, sizeof(response));
RPC_STATUS_ASSERT(status);
if (response.major != RPC_PROTO_MAJOR_VERSION || response.minor > RPC_PROTO_MINOR_VERSION) {
fprintf(stderr, "RPC server version mismatch: %d.%d.%d\n", response.major, response.minor, response.patch);
GGML_LOG_ERROR("RPC server version mismatch: %d.%d.%d\n", response.major, response.minor, response.patch);
return false;
}
if (response.minor != RPC_PROTO_MINOR_VERSION || response.patch != RPC_PROTO_PATCH_VERSION) {
fprintf(stderr, "WARNING: RPC server version mismatch: %d.%d.%d\n", response.major, response.minor, response.patch);
GGML_LOG_INFO("WARNING: RPC server version mismatch: %d.%d.%d\n", response.major, response.minor, response.patch);
}
return true;
}
@@ -488,7 +494,7 @@ static std::shared_ptr<socket_t> get_socket(const std::string & endpoint) {
if (!check_server_version(sock)) {
return nullptr;
}
GGML_PRINT_DEBUG("[%s] connected to %s, sockfd=%d\n", __func__, endpoint.c_str(), sock->fd);
LOG_DBG("[%s] connected to %s, sockfd=%d\n", __func__, endpoint.c_str(), sock->fd);
sockets[endpoint] = sock;
return sock;
}
@@ -809,7 +815,7 @@ ggml_backend_buffer_type_t ggml_backend_rpc_buffer_type(const char * endpoint) {
}
auto sock = get_socket(endpoint);
if (sock == nullptr) {
fprintf(stderr, "Failed to connect to %s\n", endpoint);
GGML_LOG_ERROR("Failed to connect to %s\n", endpoint);
return nullptr;
}
size_t alignment = get_alignment(sock);
@@ -909,7 +915,7 @@ void rpc_server::hello(rpc_msg_hello_rsp & response) {
response.major = RPC_PROTO_MAJOR_VERSION;
response.minor = RPC_PROTO_MINOR_VERSION;
response.patch = RPC_PROTO_PATCH_VERSION;
GGML_PRINT_DEBUG("[%s] version: %d.%d.%d\n", __func__, response.major, response.minor, response.patch);
LOG_DBG("[%s] version: %d.%d.%d\n", __func__, response.major, response.minor, response.patch);
}
bool rpc_server::get_alloc_size(const rpc_msg_get_alloc_size_req & request, rpc_msg_get_alloc_size_rsp & response) {
@@ -929,7 +935,7 @@ bool rpc_server::get_alloc_size(const rpc_msg_get_alloc_size_req & request, rpc_
GGML_LOG_ERROR("Null tensor pointer passed to server get_alloc_size function.\n");
return false;
}
LOG_DBG("[%s] buffer: %p, data: %p\n", __func__, (void*)tensor->buffer, tensor->data);
if (tensor->buffer == nullptr) {
//No buffer allocated.
buft = ggml_backend_get_default_buffer_type(backend);
@@ -937,7 +943,7 @@ bool rpc_server::get_alloc_size(const rpc_msg_get_alloc_size_req & request, rpc_
buft = tensor->buffer->buft;
}
response.alloc_size = ggml_backend_buft_get_alloc_size(buft,tensor);
response.alloc_size = ggml_backend_buft_get_alloc_size(buft, tensor);
return true;
}
@@ -950,29 +956,29 @@ void rpc_server::alloc_buffer(const rpc_msg_alloc_buffer_req & request, rpc_msg_
if (buffer != nullptr) {
response.remote_ptr = reinterpret_cast<uint64_t>(buffer);
response.remote_size = buffer->size;
GGML_PRINT_DEBUG("[%s] size: %" PRIu64 " -> remote_ptr: %" PRIx64 ", remote_size: %" PRIu64 "\n", __func__, request.size, response.remote_ptr, response.remote_size);
LOG_DBG("[%s] size: %" PRIu64 " -> remote_ptr: %" PRIx64 ", remote_size: %" PRIu64 "\n", __func__, request.size, response.remote_ptr, response.remote_size);
buffers.insert(buffer);
} else {
GGML_LOG_ERROR("[%s] size: %" PRIu64 " -> failed\n", __func__, request.size);
LOG_DBG("[%s] size: %" PRIu64 " -> failed\n", __func__, request.size);
}
}
void rpc_server::get_alignment(rpc_msg_get_alignment_rsp & response) {
ggml_backend_buffer_type_t buft = ggml_backend_get_default_buffer_type(backend);
size_t alignment = ggml_backend_buft_get_alignment(buft);
GGML_PRINT_DEBUG("[%s] alignment: %lu\n", __func__, alignment);
LOG_DBG("[%s] alignment: %lu\n", __func__, alignment);
response.alignment = alignment;
}
void rpc_server::get_max_size(rpc_msg_get_max_size_rsp & response) {
ggml_backend_buffer_type_t buft = ggml_backend_get_default_buffer_type(backend);
size_t max_size = ggml_backend_buft_get_max_size(buft);
GGML_PRINT_DEBUG("[%s] max_size: %lu\n", __func__, max_size);
LOG_DBG("[%s] max_size: %lu\n", __func__, max_size);
response.max_size = max_size;
}
bool rpc_server::buffer_get_base(const rpc_msg_buffer_get_base_req & request, rpc_msg_buffer_get_base_rsp & response) {
GGML_PRINT_DEBUG("[%s] remote_ptr: %" PRIx64 "\n", __func__, request.remote_ptr);
LOG_DBG("[%s] remote_ptr: %" PRIx64 "\n", __func__, request.remote_ptr);
ggml_backend_buffer_t buffer = reinterpret_cast<ggml_backend_buffer_t>(request.remote_ptr);
if (buffers.find(buffer) == buffers.end()) {
GGML_LOG_ERROR("[%s] buffer not found\n", __func__);
@@ -984,7 +990,7 @@ bool rpc_server::buffer_get_base(const rpc_msg_buffer_get_base_req & request, rp
}
bool rpc_server::free_buffer(const rpc_msg_free_buffer_req & request) {
GGML_PRINT_DEBUG("[%s] remote_ptr: %" PRIx64 "\n", __func__, request.remote_ptr);
LOG_DBG("[%s] remote_ptr: %" PRIx64 "\n", __func__, request.remote_ptr);
ggml_backend_buffer_t buffer = reinterpret_cast<ggml_backend_buffer_t>(request.remote_ptr);
if (buffers.find(buffer) == buffers.end()) {
GGML_LOG_ERROR("[%s] buffer not found\n", __func__);
@@ -996,7 +1002,7 @@ bool rpc_server::free_buffer(const rpc_msg_free_buffer_req & request) {
}
bool rpc_server::buffer_clear(const rpc_msg_buffer_clear_req & request) {
GGML_PRINT_DEBUG("[%s] remote_ptr: %" PRIx64 ", value: %u\n", __func__, request.remote_ptr, request.value);
LOG_DBG("[%s] remote_ptr: %" PRIx64 ", value: %u\n", __func__, request.remote_ptr, request.value);
ggml_backend_buffer_t buffer = reinterpret_cast<ggml_backend_buffer_t>(request.remote_ptr);
if (buffers.find(buffer) == buffers.end()) {
GGML_LOG_ERROR("[%s] buffer not found\n", __func__);
@@ -1073,7 +1079,7 @@ bool rpc_server::set_tensor(const std::vector<uint8_t> & input) {
GGML_LOG_ERROR("[%s] error deserializing tensor\n", __func__);
return false;
}
GGML_PRINT_DEBUG("[%s] buffer: %p, data: %p, offset: %" PRIu64 ", size: %zu\n", __func__, (void*)tensor->buffer, tensor->data, offset, size);
LOG_DBG("[%s] buffer: %p, data: %p, offset: %" PRIu64 ", size: %zu\n", __func__, (void*)tensor->buffer, tensor->data, offset, size);
// sanitize tensor->data
{
@@ -1096,7 +1102,7 @@ bool rpc_server::set_tensor(const std::vector<uint8_t> & input) {
fs::path cache_file = fs::path(cache_dir) / hash_str;
std::ofstream ofs(cache_file, std::ios::binary);
ofs.write((const char *)data, size);
printf("[%s] saved to '%s'\n", __func__, cache_file.c_str());
GGML_LOG_INFO("[%s] saved to '%s'\n", __func__, cache_file.c_str());
}
ggml_backend_tensor_set(tensor, data, offset, size);
return true;
@@ -1142,8 +1148,8 @@ bool rpc_server::set_tensor_hash(const rpc_msg_set_tensor_hash_req & request, rp
GGML_LOG_ERROR("[%s] error deserializing tensor\n", __func__);
return false;
}
GGML_PRINT_DEBUG("[%s] buffer: %p, data: %p, offset: %" PRIu64 ", size: %zu, hash: %" PRIx64 "\n",
__func__, (void*)tensor->buffer, tensor->data, request.offset, size, request.hash);
LOG_DBG("[%s] buffer: %p, data: %p, offset: %" PRIu64 ", size: %zu, hash: %" PRIx64 "\n",
__func__, (void*)tensor->buffer, tensor->data, request.offset, size, request.hash);
// sanitize tensor->data
{
@@ -1177,7 +1183,7 @@ bool rpc_server::init_tensor(const rpc_msg_init_tensor_req & request) {
GGML_LOG_ERROR("Null tensor pointer passed to server init_tensor function.\n");
return false;
}
LOG_DBG("[%s] buffer: %p, data: %p\n", __func__, (void*)tensor->buffer, tensor->data);
// Call the backend's buffer_init_tensor function
ggml_backend_buffer_t buffer = tensor->buffer;
if (buffer && buffer->iface.init_tensor) {
@@ -1210,7 +1216,7 @@ bool rpc_server::get_tensor(const rpc_msg_get_tensor_req & request, std::vector<
GGML_LOG_ERROR("[%s] error deserializing tensor\n", __func__);
return false;
}
GGML_PRINT_DEBUG("[%s] buffer: %p, data: %p, offset: %" PRIu64 ", size: %" PRIu64 "\n", __func__, (void*)tensor->buffer, tensor->data, request.offset, request.size);
LOG_DBG("[%s] buffer: %p, data: %p, offset: %" PRIu64 ", size: %" PRIu64 "\n", __func__, (void*)tensor->buffer, tensor->data, request.offset, request.size);
// sanitize tensor->data
{
@@ -1254,7 +1260,7 @@ bool rpc_server::copy_tensor(const rpc_msg_copy_tensor_req & request, rpc_msg_co
uint64_t dst_buf_sz = (uint64_t) ggml_backend_buffer_get_size(dst->buffer);
if (dst_data + src_size > dst_base + dst_buf_sz) {
GGML_PRINT_DEBUG("[%s] out-of-bounds write in rpc_server::copy_tensor:\n"
GGML_LOG_ERROR("[%s] out-of-bounds write in rpc_server::copy_tensor:\n"
" write range : [0x%" PRIx64 ", 0x%" PRIx64 "]\n"
" buffer base: [0x%" PRIx64 ", 0x%" PRIx64 "]\n",
__func__,
@@ -1265,8 +1271,8 @@ bool rpc_server::copy_tensor(const rpc_msg_copy_tensor_req & request, rpc_msg_co
return false;
}
GGML_PRINT_DEBUG("[%s] src->buffer: %p, dst->buffer: %p\n",
__func__, (void*) src->buffer, (void*) dst->buffer);
LOG_DBG("[%s] src->buffer: %p, dst->buffer: %p\n",
__func__, (void*) src->buffer, (void*) dst->buffer);
response.result = ggml_backend_buffer_copy_tensor(src, dst);
return true;
@@ -1342,7 +1348,7 @@ bool rpc_server::graph_compute(const std::vector<uint8_t> & input, rpc_msg_graph
return false;
}
const rpc_tensor * tensors = (const rpc_tensor *)(input.data() + sizeof(n_nodes) + n_nodes*sizeof(uint64_t) + sizeof(n_tensors));
GGML_PRINT_DEBUG("[%s] n_nodes: %u, n_tensors: %u\n", __func__, n_nodes, n_tensors);
LOG_DBG("[%s] n_nodes: %u, n_tensors: %u\n", __func__, n_nodes, n_tensors);
size_t buf_size = ggml_tensor_overhead()*(n_nodes + n_tensors) + ggml_graph_overhead_custom(n_nodes, false);
@@ -1394,7 +1400,7 @@ static void rpc_serve_client(ggml_backend_t backend, const char * cache_dir,
}
// the first command sent by the client must be HELLO
if (cmd != RPC_CMD_HELLO) {
fprintf(stderr, "Expected HELLO command, update client\n");
GGML_LOG_ERROR("Expected HELLO command, update client\n");
return;
}
if (!recv_msg(sockfd, nullptr, 0)) {
@@ -1411,7 +1417,7 @@ static void rpc_serve_client(ggml_backend_t backend, const char * cache_dir,
}
if (cmd >= RPC_CMD_COUNT) {
// fail fast if the command is invalid
fprintf(stderr, "Unknown command: %d\n", cmd);
GGML_LOG_ERROR("Unknown command: %d\n", cmd);
break;
}
switch (cmd) {
@@ -1599,7 +1605,7 @@ static void rpc_serve_client(ggml_backend_t backend, const char * cache_dir,
break;
}
default: {
fprintf(stderr, "Unknown command: %d\n", cmd);
GGML_LOG_ERROR("Unknown command: %d\n", cmd);
return;
}
}
+1 -10
View File
@@ -260,14 +260,7 @@ int main(int argc, char * argv[]) {
int64_t iterations = params.iterations;
// Initialize GGML, ensures float conversion tables are initialized
struct ggml_init_params ggml_params = {
/* .mem_size = */ 1*1024,
/* .mem_buffer = */ NULL,
/* .no_alloc = */ true,
};
struct ggml_context * ctx = ggml_init(ggml_params);
ggml_cpu_init();
for (int i = 0; i < GGML_TYPE_COUNT; i++) {
ggml_type type = (ggml_type) i;
@@ -359,7 +352,5 @@ int main(int argc, char * argv[]) {
}
}
ggml_free(ctx);
return 0;
}