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...

5 Commits

Author SHA1 Message Date
Xuan Son Nguyen 9901068ac7 server : (web UI) add copy button for code block, fix api key (#10242)
* server : (web ui) add copy btn for code blocks

* fix problem with api key

* use settings-modal-short-input component

* always show copy btn for code snippet
2024-11-15 10:48:49 +01:00
Chenguang Li 231f9360d9 cann: dockerfile and doc adjustment (#10302)
Co-authored-by: noemotiovon <noemotiovon@gmail.com>
2024-11-15 15:09:35 +08:00
Georgi Gerganov 4802ad350b scripts : fix regex in sync [no ci] 2024-11-15 08:38:43 +02:00
Romain Biessy 5a54af4d4f sycl: Use syclcompat::dp4a (#10267)
* sycl: Use syclcompat::dp4a

* Using the syclcompat version allow the compiler to optimize the
  operation with native function

* Update news section

* Update CI Windows oneAPI version to 2025.0

* Reword doc

* Call syclcompat::dp4a inside dpct::dp4a

This reverts commit 90cb61d692.
2024-11-15 11:09:12 +08:00
Charles Xu 1607a5e5b0 backend cpu: add online flow for aarch64 Q4_0 GEMV/GEMM kernels (#9921)
* backend-cpu: add online flow for aarch64 Q4_0 GEMV/GEMM kernels

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2024-11-15 01:28:50 +01:00
18 changed files with 359 additions and 94 deletions
+2 -2
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@@ -1,6 +1,6 @@
ARG ASCEND_VERSION=8.0.rc2.alpha003-910b-openeuler22.03-py3.8
FROM cosdt/cann:$ASCEND_VERSION AS build
FROM ascendai/cann:$ASCEND_VERSION AS build
WORKDIR /app
@@ -26,7 +26,7 @@ RUN echo "Building with static libs" && \
cmake --build build --config Release --target llama-cli
# TODO: use image with NNRT
FROM cosdt/cann:$ASCEND_VERSION AS runtime
FROM ascendai/cann:$ASCEND_VERSION AS runtime
COPY --from=build /app/build/bin/llama-cli /llama-cli
ENV LC_ALL=C.utf8
+1 -1
View File
@@ -930,7 +930,7 @@ jobs:
shell: bash
env:
WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/7dff44ba-e3af-4448-841c-0d616c8da6e7/w_BaseKit_p_2024.1.0.595_offline.exe
WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/b380d914-366b-4b77-a74a-05e3c38b3514/intel-oneapi-base-toolkit-2025.0.0.882_offline.exe
WINDOWS_DPCPP_MKL: intel.oneapi.win.cpp-dpcpp-common:intel.oneapi.win.mkl.devel
ONEAPI_ROOT: "C:/Program Files (x86)/Intel/oneAPI"
steps:
+4
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@@ -940,6 +940,10 @@ ggml/src/ggml-cuda/%.o: \
$(MCC) $(CXXFLAGS) $(MUSAFLAGS) -x musa -mtgpu -c -o $@ $<
endif # GGML_MUSA
ifndef GGML_NO_CPU_AARCH64
MK_CPPFLAGS += -DGGML_USE_CPU_AARCH64
endif
ifdef GGML_METAL
MK_CPPFLAGS += -DGGML_USE_METAL
MK_LDFLAGS += -framework Foundation -framework Metal -framework MetalKit
+2
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@@ -41,6 +41,8 @@ The following release is verified with good quality:
## News
- 2024.11
- Use syclcompat to improve the performance on some platforms. This requires to use oneAPI 2025.0 or newer.
- 2024.8
- Use oneDNN as the default GEMM library, improve the compatibility for new Intel GPUs.
+1 -1
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@@ -375,7 +375,7 @@ cmake --build build --config release
You can test with:
`./build/llama-cli -m PATH_TO_MODEL -p "Building a website can be done in 10 steps:" -ngl 32`
`./build/bin/llama-cli -m PATH_TO_MODEL -p "Building a website can be done in 10 steps:" -ngl 32`
If the fllowing info is output on screen, you are using `llama.cpp by CANN backend`:
```bash
+42 -20
View File
@@ -12,7 +12,7 @@
.markdown {
h1, h2, h3, h4, h5, h6, ul, ol, li { all: revert; }
pre {
@apply whitespace-pre-wrap my-4 rounded-lg p-2;
@apply whitespace-pre-wrap rounded-lg p-2;
border: 1px solid currentColor;
}
/* TODO: fix markdown table */
@@ -25,8 +25,11 @@
.bg-base-200 {background-color: var(--fallback-b2,oklch(var(--b2)/1))}
.bg-base-300 {background-color: var(--fallback-b3,oklch(var(--b3)/1))}
.text-base-content {color: var(--fallback-bc,oklch(var(--bc)/1))}
.show-on-hover {
@apply opacity-0 group-hover:opacity-100;
}
.btn-mini {
@apply cursor-pointer opacity-0 group-hover:opacity-100 hover:shadow-md;
@apply cursor-pointer hover:shadow-md;
}
.chat-screen { max-width: 900px; }
/* because the default bubble color is quite dark, we will make a custom one using bg-base-300 */
@@ -152,14 +155,14 @@
<!-- actions for each message -->
<div :class="{'text-right': msg.role === 'user'}" class="mx-4 mt-2 mb-2">
<!-- user message -->
<button v-if="msg.role === 'user'" class="badge btn-mini" @click="editingMsg = msg" :disabled="isGenerating">
<button v-if="msg.role === 'user'" class="badge btn-minishow-on-hover " @click="editingMsg = msg" :disabled="isGenerating">
✍️ Edit
</button>
<!-- assistant message -->
<button v-if="msg.role === 'assistant'" class="badge btn-mini mr-2" @click="regenerateMsg(msg)" :disabled="isGenerating">
<button v-if="msg.role === 'assistant'" class="badge btn-mini show-on-hover mr-2" @click="regenerateMsg(msg)" :disabled="isGenerating">
🔄 Regenerate
</button>
<button v-if="msg.role === 'assistant'" class="badge btn-mini mr-2" @click="copyMsg(msg)" :disabled="isGenerating">
<button v-if="msg.role === 'assistant'" class="badge btn-mini show-on-hover mr-2" @click="copyMsg(msg)" :disabled="isGenerating">
📋 Copy
</button>
</div>
@@ -196,12 +199,13 @@
<h3 class="text-lg font-bold mb-6">Settings</h3>
<div class="h-[calc(90vh-12rem)] overflow-y-auto">
<p class="opacity-40 mb-6">Settings below are saved in browser's localStorage</p>
<settings-modal-short-input :config-key="'apiKey'" :config-default="configDefault" :config-info="configInfo" v-model="config.apiKey"></settings-modal-short-input>
<label class="form-control mb-2">
<div class="label">System Message</div>
<textarea class="textarea textarea-bordered h-24" :placeholder="'Default: ' + configDefault.systemMessage" v-model="config.systemMessage"></textarea>
</label>
<template v-for="configKey in ['temperature', 'top_k', 'top_p', 'min_p', 'max_tokens']">
<settings-modal-numeric-input :config-key="configKey" :config-default="configDefault" :config-info="configInfo" v-model="config[configKey]" />
<settings-modal-short-input :config-key="configKey" :config-default="configDefault" :config-info="configInfo" v-model="config[configKey]" />
</template>
<!-- TODO: add more sampling-related configs, please regroup them into different "collapse" sections -->
<!-- Section: Other sampler settings -->
@@ -209,7 +213,7 @@
<summary class="collapse-title font-bold">Other sampler settings</summary>
<div class="collapse-content">
<template v-for="configKey in ['dynatemp_range', 'dynatemp_exponent', 'typical_p', 'xtc_probability', 'xtc_threshold']">
<settings-modal-numeric-input :config-key="configKey" :config-default="configDefault" :config-info="configInfo" v-model="config[configKey]" />
<settings-modal-short-input :config-key="configKey" :config-default="configDefault" :config-info="configInfo" v-model="config[configKey]" />
</template>
</div>
</details>
@@ -218,7 +222,7 @@
<summary class="collapse-title font-bold">Penalties settings</summary>
<div class="collapse-content">
<template v-for="configKey in ['repeat_last_n', 'repeat_penalty', 'presence_penalty', 'frequency_penalty', 'dry_multiplier', 'dry_base', 'dry_allowed_length', 'dry_penalty_last_n']">
<settings-modal-numeric-input :config-key="configKey" :config-default="configDefault" :config-info="configInfo" v-model="config[configKey]" />
<settings-modal-short-input :config-key="configKey" :config-default="configDefault" :config-info="configInfo" v-model="config[configKey]" />
</template>
</div>
</details>
@@ -245,7 +249,7 @@
</div>
<!-- Template to be used by settings modal -->
<template id="settings-modal-numeric-input">
<template id="settings-modal-short-input">
<label class="input input-bordered join-item grow flex items-center gap-2 mb-2">
<!-- Show help message on hovering on the input label -->
<div class="dropdown dropdown-hover">
@@ -264,9 +268,13 @@
import { createApp, defineComponent, shallowRef, computed, h } from './deps_vue.esm-browser.js';
import { llama } from './completion.js';
// utility functions
const isString = (x) => !!x.toLowerCase;
const isNumeric = (n) => !isString(n) && !isNaN(n);
const escapeAttr = (str) => str.replace(/>/g, '&gt;').replace(/"/g, '&quot;');
const copyStr = (str) => navigator.clipboard.writeText(str);
// constants
const BASE_URL = localStorage.getItem('base') // for debugging
|| (new URL('.', document.baseURI).href).toString(); // for production
const CONFIG_DEFAULT = {
@@ -295,7 +303,7 @@
custom: '', // custom json-stringified object
};
const CONFIG_INFO = {
apiKey: '',
apiKey: 'Set the API Key if you are using --api-key option for the server.',
systemMessage: 'The starting message that defines how model should behave.',
temperature: 'Controls the randomness of the generated text by affecting the probability distribution of the output tokens. Higher = more random, lower = more focused.',
dynatemp_range: 'Addon for the temperature sampler. The added value to the range of dynamic temperature, which adjusts probabilities by entropy of tokens.',
@@ -325,19 +333,28 @@
// markdown support
const VueMarkdown = defineComponent(
(props) => {
const md = shallowRef(new markdownit(props.options ?? { breaks: true }));
for (const plugin of props.plugins ?? []) {
md.value.use(plugin);
}
const md = shallowRef(new markdownit({ breaks: true }));
const origFenchRenderer = md.value.renderer.rules.fence;
md.value.renderer.rules.fence = (tokens, idx, ...args) => {
const content = tokens[idx].content;
const origRendered = origFenchRenderer(tokens, idx, ...args);
return `<div class="relative my-4">
<div class="text-right sticky top-4 mb-2 mr-2 h-0">
<button class="badge btn-mini" onclick="copyStr(${escapeAttr(JSON.stringify(content))})">📋 Copy</button>
</div>
${origRendered}
</div>`;
};
window.copyStr = copyStr;
const content = computed(() => md.value.render(props.source));
return () => h("div", { innerHTML: content.value });
},
{ props: ["source", "options", "plugins"] }
{ props: ["source"] }
);
// inout field to be used by settings modal
const SettingsModalNumericInput = defineComponent({
template: document.getElementById('settings-modal-numeric-input').innerHTML,
const SettingsModalShortInput = defineComponent({
template: document.getElementById('settings-modal-short-input').innerHTML,
props: ['configKey', 'configDefault', 'configInfo', 'modelValue'],
});
@@ -390,7 +407,11 @@
if (!conv) return;
const msg = conv.messages.pop();
conv.lastModified = Date.now();
localStorage.setItem(convId, JSON.stringify(conv));
if (conv.messages.length === 0) {
StorageUtils.remove(convId);
} else {
localStorage.setItem(convId, JSON.stringify(conv));
}
return msg;
},
@@ -431,7 +452,7 @@
const mainApp = createApp({
components: {
VueMarkdown,
SettingsModalNumericInput,
SettingsModalShortInput,
},
data() {
return {
@@ -587,6 +608,7 @@
this.isGenerating = false;
this.stopGeneration = () => {};
this.fetchMessages();
chatScrollToBottom();
},
// message actions
@@ -600,7 +622,7 @@
this.generateMessage(currConvId);
},
copyMsg(msg) {
navigator.clipboard.writeText(msg.content);
copyStr(msg.content);
},
editUserMsgAndRegenerate(msg) {
if (this.isGenerating) return;
+26 -16
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@@ -102,6 +102,12 @@ struct server_task_result {
bool error;
};
struct server_static_file {
const unsigned char * data;
unsigned int size;
const char * mime_type;
};
struct slot_params {
bool stream = true;
bool cache_prompt = false; // remember the prompt to avoid reprocessing all prompt
@@ -2259,6 +2265,16 @@ int main(int argc, char ** argv) {
LOG_INF("%s\n", common_params_get_system_info(params).c_str());
LOG_INF("\n");
// static files
std::map<std::string, server_static_file> static_files = {
{ "/", { index_html, index_html_len, "text/html; charset=utf-8" }},
{ "/completion.js", { completion_js, completion_js_len, "text/javascript; charset=utf-8" }},
{ "/deps_daisyui.min.css", { deps_daisyui_min_css, deps_daisyui_min_css_len, "text/css; charset=utf-8" }},
{ "/deps_markdown-it.js", { deps_markdown_it_js, deps_markdown_it_js_len, "text/javascript; charset=utf-8" }},
{ "/deps_tailwindcss.js", { deps_tailwindcss_js, deps_tailwindcss_js_len, "text/javascript; charset=utf-8" }},
{ "/deps_vue.esm-browser.js", { deps_vue_esm_browser_js, deps_vue_esm_browser_js_len, "text/javascript; charset=utf-8" }},
};
std::unique_ptr<httplib::Server> svr;
#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
if (params.ssl_file_key != "" && params.ssl_file_cert != "") {
@@ -2339,7 +2355,7 @@ int main(int argc, char ** argv) {
// Middlewares
//
auto middleware_validate_api_key = [&params, &res_error](const httplib::Request & req, httplib::Response & res) {
auto middleware_validate_api_key = [&params, &res_error, &static_files](const httplib::Request & req, httplib::Response & res) {
static const std::unordered_set<std::string> public_endpoints = {
"/health",
"/models",
@@ -2351,8 +2367,8 @@ int main(int argc, char ** argv) {
return true;
}
// If path is public, skip validation
if (public_endpoints.find(req.path) != public_endpoints.end()) {
// If path is public or is static file, skip validation
if (public_endpoints.find(req.path) != public_endpoints.end() || static_files.find(req.path) != static_files.end()) {
return true;
}
@@ -3096,13 +3112,6 @@ int main(int argc, char ** argv) {
res.status = 200; // HTTP OK
};
auto handle_static_file = [](unsigned char * content, size_t len, const char * mime_type) {
return [content, len, mime_type](const httplib::Request &, httplib::Response & res) {
res.set_content(reinterpret_cast<const char*>(content), len, mime_type);
return false;
};
};
//
// Router
//
@@ -3117,12 +3126,13 @@ int main(int argc, char ** argv) {
}
} else {
// using embedded static files
svr->Get("/", handle_static_file(index_html, index_html_len, "text/html; charset=utf-8"));
svr->Get("/completion.js", handle_static_file(completion_js, completion_js_len, "text/javascript; charset=utf-8"));
svr->Get("/deps_daisyui.min.css", handle_static_file(deps_daisyui_min_css, deps_daisyui_min_css_len, "text/css; charset=utf-8"));
svr->Get("/deps_markdown-it.js", handle_static_file(deps_markdown_it_js, deps_markdown_it_js_len, "text/javascript; charset=utf-8"));
svr->Get("/deps_tailwindcss.js", handle_static_file(deps_tailwindcss_js, deps_tailwindcss_js_len, "text/javascript; charset=utf-8"));
svr->Get("/deps_vue.esm-browser.js", handle_static_file(deps_vue_esm_browser_js, deps_vue_esm_browser_js_len, "text/javascript; charset=utf-8"));
for (const auto & it : static_files) {
const server_static_file & static_file = it.second;
svr->Get(it.first.c_str(), [&static_file](const httplib::Request &, httplib::Response & res) {
res.set_content(reinterpret_cast<const char*>(static_file.data), static_file.size, static_file.mime_type);
return false;
});
}
}
// register API routes
+1
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@@ -92,6 +92,7 @@ else()
endif()
option(GGML_CPU_HBM "ggml: use memkind for CPU HBM" OFF)
option(GGML_CPU_AARCH64 "ggml: use runtime weight conversion of Q4_0 to Q4_X_X" ON)
option(GGML_AVX "ggml: enable AVX" ${INS_ENB})
option(GGML_AVX2 "ggml: enable AVX2" ${INS_ENB})
+3
View File
@@ -169,6 +169,9 @@ extern "C" {
GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type(void);
#endif
GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_cpu_aarch64_buffer_type(void);
GGML_BACKEND_API bool ggml_backend_cpu_buft_is_aarch64(ggml_backend_buffer_type_t buft);
#ifdef __cplusplus
}
#endif
+5
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@@ -236,6 +236,11 @@ else()
message(STATUS "Unknown architecture")
endif()
if (GGML_CPU_AARCH64)
message(STATUS "Using runtime weight conversion of Q4_0 to Q4_0_x_x to enable optimized GEMM/GEMV kernels")
add_compile_definitions(GGML_USE_CPU_AARCH64)
endif()
target_compile_options(ggml-cpu PRIVATE "$<$<COMPILE_LANGUAGE:CXX>:${ARCH_FLAGS}>")
target_compile_options(ggml-cpu PRIVATE "$<$<COMPILE_LANGUAGE:C>:${ARCH_FLAGS}>")
+144
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@@ -3385,3 +3385,147 @@ void ggml_gemm_q4_0_8x8_q8_0(int n, float * restrict s, size_t bs, const void *
}
}
}
// FIXME: this code is duplicated from ggml-aarch64.c
static block_q4_0x4 make_block_q4_0x4(block_q4_0 * in, unsigned int blck_size_interleave, unsigned int xor_mask) {
block_q4_0x4 out;
for (int i = 0; i < 4; i++) {
out.d[i] = in[i].d;
}
for (int i = 0; i < QK4_0 * 2; i++) {
int src_offset = (i / (4 * blck_size_interleave)) * blck_size_interleave;
int src_id = (i % (4 * blck_size_interleave)) / blck_size_interleave;
src_offset += (i % blck_size_interleave);
out.qs[i] = in[src_id].qs[src_offset] ^ xor_mask;
}
return out;
}
// interleave 8 block_q4_0s in blocks of blck_size_interleave
// returns an interleaved block_q4_0x8
// in the interleaved block_q4_0x8, place deltas for 8 block_q4_0 blocks
// first, then interleave quants from 8 block_q4_0s in blocks of blck_size_interleave
static block_q4_0x8 make_block_q4_0x8(block_q4_0 * in, unsigned int blck_size_interleave, unsigned int xor_mask) {
block_q4_0x8 out;
for (int i = 0; i < 8; i++) {
out.d[i] = in[i].d;
}
for (int i = 0; i < QK4_0 * 4; i++) {
int src_offset = (i / (8 * blck_size_interleave)) * blck_size_interleave;
int src_id = (i % (8 * blck_size_interleave)) / blck_size_interleave;
src_offset += (i % blck_size_interleave);
out.qs[i] = in[src_id].qs[src_offset] ^ xor_mask;
}
return out;
}
static int repack_q4_0_to_q4_0_4_bl(struct ggml_tensor * t, int interleave_block, const void * restrict data, size_t data_size) {
GGML_ASSERT(t->type == GGML_TYPE_Q4_0);
GGML_ASSERT(interleave_block == 4 || interleave_block == 8);
block_q4_0x4 * dst = (block_q4_0x4 *)t->data;
const block_q4_0 * src = (const block_q4_0 *)data;
block_q4_0 dst_tmp[4];
int nrow = t->ne[1]; // Number of rows
int nrows_interleaved = 4;
int nblocks = t->ne[0] / QK4_0;
GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q4_0));
if (nrow % nrows_interleaved != 0 || t->ne[0] % 8 != 0) {
return -1;
}
for (int b = 0; b < nrow; b += nrows_interleaved) {
for (int64_t x = 0; x < nblocks; x++) {
for (int i = 0; i < nrows_interleaved; i++) {
dst_tmp[i] = src[x + i * nblocks];
}
*dst++ = make_block_q4_0x4(dst_tmp, interleave_block, 0x88);
}
src += nrows_interleaved * nblocks;
}
return 0;
GGML_UNUSED(data_size);
}
static int repack_q4_0_to_q4_0_8_bl(struct ggml_tensor *t, int interleave_block, const void * restrict data, size_t data_size) {
GGML_ASSERT(t->type == GGML_TYPE_Q4_0);
GGML_ASSERT(interleave_block == 8);
block_q4_0x8 * dst = (block_q4_0x8*)t->data;
const block_q4_0 * src = (const block_q4_0*) data;
block_q4_0 dst_tmp[8];
int nrow = t->ne[1]; // Number of rows
int nrows_interleaved = 8;
int nblocks = t->ne[0] / QK4_0;
GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q4_0));
if (nrow % nrows_interleaved != 0 || t->ne[0] % 8 != 0) {
return -1;
}
for (int b = 0; b < nrow; b += nrows_interleaved) {
for (int64_t x = 0; x < nblocks; x++) {
for (int i = 0; i < nrows_interleaved; i++ ) {
dst_tmp[i] = src[x + i * nblocks];
}
*dst++ = make_block_q4_0x8(dst_tmp, interleave_block, 0x88);
}
src += nrows_interleaved * nblocks;
}
return 0;
GGML_UNUSED(data_size);
}
// Prepare for optimized kernels if applicable
void ggml_aarch64_repack_tensor(struct ggml_tensor * cur, enum ggml_type repack_type, const void * restrict data, size_t data_size) {
if (cur->type == repack_type) {
memcpy(cur->data, data, data_size);
return;
}
GGML_ASSERT(cur->type == GGML_TYPE_Q4_0);
switch (repack_type) {
case GGML_TYPE_Q4_0_8_8:
repack_q4_0_to_q4_0_8_bl(cur, 8, data, data_size);
break;
case GGML_TYPE_Q4_0_4_8:
repack_q4_0_to_q4_0_4_bl(cur, 8, data, data_size);
break;
case GGML_TYPE_Q4_0_4_4:
repack_q4_0_to_q4_0_4_bl(cur, 4, data, data_size);
break;
default:
GGML_ABORT("Unsupported type");
}
}
enum ggml_type ggml_aarch64_get_optimal_repack_type(const struct ggml_tensor * cur) {
if (cur->type == GGML_TYPE_Q4_0) {
// TODO: enable for AVX2 - currently disabled due to bad gemv performance
if (/* ggml_cpu_has_avx2() || */ (ggml_cpu_has_sve() && ggml_cpu_has_matmul_int8() && ggml_cpu_get_sve_cnt() == QK8_0)) {
return GGML_TYPE_Q4_0_8_8;
}
if (ggml_cpu_has_neon() && ggml_cpu_has_matmul_int8()) {
return GGML_TYPE_Q4_0_4_8;
}
if (ggml_cpu_has_neon()) {
return GGML_TYPE_Q4_0_4_4;
}
}
return cur->type;
}
+3
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@@ -21,6 +21,9 @@ void ggml_gemm_q4_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
void ggml_gemm_q4_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemm_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_aarch64_repack_tensor(struct ggml_tensor * cur, enum ggml_type repack_type, const void * data, size_t data_size);
enum ggml_type ggml_aarch64_get_optimal_repack_type(const struct ggml_tensor * cur);
#ifdef __cplusplus
}
#endif
+13 -10
View File
@@ -7330,6 +7330,7 @@ static void ggml_compute_forward_group_norm(
static void ggml_compute_forward_mul_mat_one_chunk(
const struct ggml_compute_params * params,
struct ggml_tensor * dst,
const enum ggml_type type,
const int64_t num_rows_per_vec_dot,
const int64_t ir0_start,
const int64_t ir0_end,
@@ -7341,8 +7342,6 @@ static void ggml_compute_forward_mul_mat_one_chunk(
GGML_TENSOR_BINARY_OP_LOCALS
const enum ggml_type type = src0->type;
const bool src1_cont = ggml_is_contiguous(src1);
ggml_vec_dot_t const vec_dot = type_traits_cpu[type].vec_dot;
@@ -7430,7 +7429,11 @@ static void ggml_compute_forward_mul_mat(
const int ith = params->ith;
const int nth = params->nth;
const enum ggml_type type = src0->type;
enum ggml_type type = src0->type;
if (src0->buffer && ggml_backend_cpu_buft_is_aarch64(src0->buffer->buft)) {
type = (enum ggml_type)(intptr_t)src0->extra;
}
enum ggml_type const vec_dot_type = type_traits_cpu[type].vec_dot_type;
ggml_from_float_t const from_float = type_traits_cpu[vec_dot_type].from_float;
@@ -7469,15 +7472,15 @@ static void ggml_compute_forward_mul_mat(
if (src1_cont) {
for (int64_t i13 = 0; i13 < ne13; i13++)
for (int64_t i12 = 0; i12 < ne12; i12++)
if (!llamafile_sgemm(ne01, ne11, ne00/ggml_blck_size(src0->type),
if (!llamafile_sgemm(ne01, ne11, ne00/ggml_blck_size(type),
(const char *)src0->data + i12/r2*nb02 + i13/r3*nb03,
nb01/ggml_type_size(src0->type),
nb01/ggml_type_size(type),
(const char *)src1->data + i12*nb12 + i13*nb13,
nb11/ggml_type_size(src1->type),
(char *)dst->data + i12*nb2 + i13*nb3,
nb1/ggml_type_size(dst->type),
ith, nth,
src0->type,
type,
src1->type,
dst->type))
goto UseGgmlGemm1;
@@ -7530,15 +7533,15 @@ UseGgmlGemm1:;
for (int64_t i13 = 0; i13 < ne13; i13++)
for (int64_t i12 = 0; i12 < ne12; i12++)
if (!llamafile_sgemm(ne01, ne11, ne00/ggml_blck_size(src0->type),
if (!llamafile_sgemm(ne01, ne11, ne00/ggml_blck_size(type),
(const char *)src0->data + i12/r2*nb02 + i13/r3*nb03,
nb01/ggml_type_size(src0->type),
nb01/ggml_type_size(type),
(const char *)wdata + (i12*ne11 + i13*ne12*ne11)*row_size,
row_size/ggml_type_size(vec_dot_type),
(char *)dst->data + i12*nb2 + i13*nb3,
nb1/ggml_type_size(dst->type),
ith, nth,
src0->type,
type,
vec_dot_type,
dst->type))
goto UseGgmlGemm2;
@@ -7623,7 +7626,7 @@ UseGgmlGemm2:;
const int64_t ir1_start = dr1 * ith1;
const int64_t ir1_end = MIN(ir1_start + dr1, nr1);
ggml_compute_forward_mul_mat_one_chunk(params, dst, num_rows_per_vec_dot, ir0_start, ir0_end, ir1_start, ir1_end);
ggml_compute_forward_mul_mat_one_chunk(params, dst, type, num_rows_per_vec_dot, ir0_start, ir0_end, ir1_start, ir1_end);
if (nth >= nchunk0 * nchunk1) {
break;
+99 -11
View File
@@ -1,6 +1,7 @@
#include "ggml-backend.h"
#include "ggml-backend-impl.h"
#include "ggml-cpu.h"
#include "ggml-cpu-aarch64.h"
#include "ggml-impl.h"
#include <cctype>
#include <string>
@@ -69,15 +70,84 @@ ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type(void) {
}
#endif
static ggml_backend_buffer_type_t * ggml_backend_cpu_get_extra_bufts(ggml_backend_dev_t device) {
static ggml_backend_buffer_type_t bufts[] = {
#ifdef GGML_USE_CPU_HBM
ggml_backend_cpu_hbm_buffer_type(),
#endif
NULL
// buffer type AARCH64
static void ggml_backend_cpu_aarch64_buffer_init_tensor(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor) {
tensor->extra = (void *)ggml_aarch64_get_optimal_repack_type(tensor); // NOLINT
GGML_UNUSED(buffer);
}
static void ggml_backend_cpu_aarch64_buffer_set_tensor(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
GGML_ASSERT(offset == 0);
GGML_ASSERT(size == ggml_nbytes(tensor));
enum ggml_type repack_type = (enum ggml_type)(intptr_t)tensor->extra;
ggml_aarch64_repack_tensor(tensor, repack_type, data, size);
GGML_UNUSED(buffer);
}
static const char * ggml_backend_cpu_aarch64_buffer_type_get_name(ggml_backend_buffer_type_t buft) {
return "CPU_AARCH64";
GGML_UNUSED(buft);
}
static ggml_backend_buffer_t ggml_backend_cpu_aarch64_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
auto * buffer = ggml_backend_buft_alloc_buffer(ggml_backend_cpu_buffer_type(), size);
if (buffer == NULL) {
return NULL;
}
buffer->buft = buft;
buffer->iface.init_tensor = ggml_backend_cpu_aarch64_buffer_init_tensor;
buffer->iface.set_tensor = ggml_backend_cpu_aarch64_buffer_set_tensor;
return buffer;
}
ggml_backend_buffer_type_t ggml_backend_cpu_aarch64_buffer_type(void) {
static struct ggml_backend_buffer_type ggml_backend_cpu_buffer_type_aarch64 = {
/* .iface = */ {
/* .get_name = */ ggml_backend_cpu_aarch64_buffer_type_get_name,
/* .alloc_buffer = */ ggml_backend_cpu_aarch64_buffer_type_alloc_buffer,
/* .get_alignment = */ ggml_backend_cpu_buffer_type()->iface.get_alignment,
/* .get_max_size = */ NULL, // defaults to SIZE_MAX
/* .get_alloc_size = */ NULL, // defaults to ggml_nbytes
/* .is_host = */ NULL,
},
/* .device = */ ggml_backend_reg_dev_get(ggml_backend_cpu_reg(), 0),
/* .context = */ NULL,
};
return bufts;
return &ggml_backend_cpu_buffer_type_aarch64;
}
bool ggml_backend_cpu_buft_is_aarch64(ggml_backend_buffer_type_t buft) {
return buft == ggml_backend_cpu_aarch64_buffer_type();
}
static ggml_backend_buffer_type_t * ggml_backend_cpu_get_extra_bufts(ggml_backend_dev_t device) {
static std::vector<ggml_backend_buffer_type_t> bufts = []() {
std::vector<ggml_backend_buffer_type_t> bufts;
#ifdef GGML_USE_CPU_HBM
bufts.push_back(ggml_backend_cpu_hbm_buffer_type());
#endif
#ifdef GGML_USE_CPU_AARCH64
bufts.push_back(ggml_backend_cpu_aarch64_buffer_type());
#endif
bufts.push_back(NULL);
return bufts;
}();
return bufts.data();
GGML_UNUSED(device);
}
@@ -383,6 +453,21 @@ static ggml_backend_buffer_t ggml_backend_cpu_device_buffer_from_host_ptr(ggml_b
}
static bool ggml_backend_cpu_device_supports_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) {
const struct ggml_tensor * src0 = op->src[0];
const struct ggml_tensor * src1 = op->src[1];
if (src0 && src0->buffer && ggml_backend_cpu_buft_is_aarch64(src0->buffer->buft)) {
if (op->op != GGML_OP_MUL_MAT || src0->type != GGML_TYPE_Q4_0 || ggml_aarch64_get_optimal_repack_type(src0) == GGML_TYPE_Q4_0) {
return false;
}
}
for (int i = 1; i < GGML_MAX_SRC; i++) {
if (op->src[i] && op->src[i]->buffer && ggml_backend_cpu_buft_is_aarch64(op->src[i]->buffer->buft)) {
return false;
}
}
switch (op->op) {
case GGML_OP_CPY:
return
@@ -391,13 +476,13 @@ static bool ggml_backend_cpu_device_supports_op(ggml_backend_dev_t dev, const st
op->type != GGML_TYPE_IQ1_S &&
op->type != GGML_TYPE_IQ1_M; // missing type_traits.from_float
case GGML_OP_MUL_MAT:
return op->src[1]->type == GGML_TYPE_F32;// FIXME || op->src[1]->type == ggml_get_type_traits(op->src[0]->type)->vec_dot_type;
return src1->type == GGML_TYPE_F32 || src1->type == ggml_get_type_traits_cpu(src0->type)->vec_dot_type;
case GGML_OP_ROPE_BACK:
return op->src[2] == NULL && (op->op_params[2] & 4) == 0;
case GGML_OP_IM2COL_BACK:
return op->src[0]->type == GGML_TYPE_F32 && op->src[1]->type == GGML_TYPE_F32;
return src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32;
case GGML_OP_OUT_PROD:
return (op->src[0]->type == GGML_TYPE_F32 || ggml_is_quantized(op->src[0]->type)) && op->src[1]->type == GGML_TYPE_F32;
return (src0->type == GGML_TYPE_F32 || ggml_is_quantized(src0->type)) && src1->type == GGML_TYPE_F32;
default:
return true;
}
@@ -406,7 +491,7 @@ static bool ggml_backend_cpu_device_supports_op(ggml_backend_dev_t dev, const st
}
static bool ggml_backend_cpu_device_supports_buft(ggml_backend_dev_t dev, ggml_backend_buffer_type_t buft) {
return ggml_backend_buft_is_host(buft);
return ggml_backend_buft_is_host(buft) || ggml_backend_cpu_buft_is_aarch64(buft);
GGML_UNUSED(dev);
}
@@ -566,6 +651,9 @@ static const struct ggml_backend_reg_i ggml_backend_cpu_reg_i = {
};
ggml_backend_reg_t ggml_backend_cpu_reg(void) {
// init CPU feature detection
ggml_cpu_init();
static struct ggml_backend_reg ggml_backend_cpu_reg = {
/* .iface = */ ggml_backend_cpu_reg_i,
/* .context = */ NULL,
+2 -22
View File
@@ -15,6 +15,7 @@
#include <sycl/sycl.hpp>
#include <sycl/half_type.hpp>
#include <syclcompat/math.hpp>
#include <oneapi/mkl.hpp>
#include <map>
@@ -1830,31 +1831,10 @@ namespace dpct
: id);
}
template <typename T>
sycl::vec<T, 4> extract_and_sign_or_zero_extend4(T val)
{
return sycl::vec<T, 1>(val)
.template as<sycl::vec<
std::conditional_t<std::is_signed_v<T>, int8_t, uint8_t>, 4>>()
.template convert<T>();
}
template <typename T1, typename T2>
using dot_product_acc_t =
std::conditional_t<std::is_unsigned_v<T1> && std::is_unsigned_v<T2>,
uint32_t, int32_t>;
template <typename T1, typename T2, typename T3>
inline auto dp4a(T1 a, T2 b, T3 c)
{
dot_product_acc_t<T1, T2> res = c;
auto va = extract_and_sign_or_zero_extend4(a);
auto vb = extract_and_sign_or_zero_extend4(b);
res += va[0] * vb[0];
res += va[1] * vb[1];
res += va[2] * vb[2];
res += va[3] * vb[3];
return res;
return syclcompat::dp4a(a, b, c);
}
struct sub_sat
+4 -4
View File
@@ -968,8 +968,8 @@ vec_dot_iq3_xxs_q8_1(const void *__restrict__ vbq,
grid1[0] ^ signs[0], signs[0], std::minus<>());
const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
grid2[0] ^ signs[1], signs[1], std::minus<>());
sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi);
sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi);
sumi = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi);
sumi = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi);
q8 += 8;
aux32 >>= 7;
}
@@ -1009,8 +1009,8 @@ vec_dot_iq3_s_q8_1(const void *__restrict__ vbq,
grid1[0] ^ signs0, signs0, std::minus<>());
const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
grid2[0] ^ signs1, signs1, std::minus<>());
sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi);
sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi);
sumi = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi);
sumi = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi);
q8 += 8;
}
const float d =
+6 -6
View File
@@ -144,17 +144,17 @@ if [ -f $SRC_LLAMA/ggml-src.patch ]; then
-e 's/([[:space:]]|[ab]\/)CMakeLists.txt/\1ggml\/CMakeLists.txt/g' \
-e 's/([[:space:]]|[ab]\/)src\/CMakeLists.txt/\1ggml\/src\/CMakeLists.txt/g' \
-e 's/([[:space:]]|[ab]\/)cmake\/FindSIMD.cmake/\1ggml\/cmake\/FindSIMD.cmake/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml(.*)\.c/\1ggml\/src\/ggml\1.c/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml(.*)\.cpp/\1ggml\/src\/ggml\1.cpp/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml(.*)\.h/\1ggml\/src\/ggml\1.h/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml(.*)\.cu/\1ggml\/src\/ggml\1.cu/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml(.*)\.m/\1ggml\/src\/ggml\1.m/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml(.*)\.c/\1ggml\/src\/ggml\2.c/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml(.*)\.cpp/\1ggml\/src\/ggml\2.cpp/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml(.*)\.h/\1ggml\/src\/ggml\2.h/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml(.*)\.cu/\1ggml\/src\/ggml\2.cu/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml(.*)\.m/\1ggml\/src\/ggml\2.m/g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml-amx\//\1ggml\/src\/ggml-amx\//g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml-cann\//\1ggml\/src\/ggml-cann\//g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml-cuda\//\1ggml\/src\/ggml-cuda\//g' \
-e 's/([[:space:]]|[ab]\/)src\/ggml-sycl\//\1ggml\/src\/ggml-sycl\//g' \
-e 's/([[:space:]]|[ab]\/)src\/vulkan-shaders\//\1ggml\/src\/vulkan-shaders\//g' \
-e 's/([[:space:]]|[ab]\/)include\/ggml(.*)\.h/\1ggml\/include\/ggml\1.h/g' \
-e 's/([[:space:]]|[ab]\/)include\/ggml(.*)\.h/\1ggml\/include\/ggml\2.h/g' \
-e 's/([[:space:]]|[ab]\/)examples\/common\.h/\1examples\/common.h/g' \
-e 's/([[:space:]]|[ab]\/)examples\/common\.cpp/\1examples\/common.cpp/g' \
-e 's/([[:space:]]|[ab]\/)examples\/common-ggml\.h/\1examples\/common-ggml.h/g' \
+1 -1
View File
@@ -7254,7 +7254,7 @@ static llama_model::buft_list_t make_cpu_buft_list(llama_model & model) {
auto * cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
auto * cpu_reg = ggml_backend_dev_backend_reg(cpu_dev);
auto ggml_backend_dev_get_extra_bufts_fn = (ggml_backend_dev_get_extra_bufts_t)
ggml_backend_reg_get_proc_address(cpu_reg, "ggml_backend_cpu_get_extra_bufts");
ggml_backend_reg_get_proc_address(cpu_reg, "ggml_backend_dev_get_extra_bufts");
if (ggml_backend_dev_get_extra_bufts_fn) {
ggml_backend_buffer_type_t * extra_bufts = ggml_backend_dev_get_extra_bufts_fn(cpu_dev);
while (extra_bufts && *extra_bufts) {