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Merge https://github.com/ggerganov/llama.cpp into vulkan

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Eve 2024-12-08 17:10:57 -05:00
commit c7bc42cea0
12 changed files with 229 additions and 227 deletions
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107
.github/workflows/build.yml vendored
View file

@ -552,35 +552,44 @@ jobs:
-DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml
cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO
# TODO: tmp disabled. see for possible re-enable:
# https://github.com/ggerganov/llama.cpp/pull/10525
# macOS-latest-swift:
# runs-on: macos-latest
#
# strategy:
# matrix:
# destination: ['generic/platform=macOS', 'generic/platform=iOS', 'generic/platform=tvOS']
#
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v4
#
# - name: Dependencies
# id: depends
# continue-on-error: true
# run: |
# brew update
#
# - name: xcodebuild for swift package
# id: xcodebuild
# run: |
# xcodebuild -scheme llama -destination "${{ matrix.destination }}"
#
# - name: Build Swift Example
# id: make_build_swift_example
# run: |
# make swift
macOS-latest-swift:
runs-on: macos-latest
strategy:
matrix:
destination: ['generic/platform=macOS', 'generic/platform=iOS', 'generic/platform=tvOS']
steps:
- name: Clone
id: checkout
uses: actions/checkout@v4
- name: Dependencies
id: depends
continue-on-error: true
run: |
brew update
- name: Build llama.cpp with CMake
id: cmake_build
run: |
sysctl -a
mkdir build
cd build
cmake -G Xcode .. \
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TESTS=OFF \
-DLLAMA_BUILD_SERVER=OFF \
-DCMAKE_OSX_ARCHITECTURES="arm64;x86_64"
cmake --build . --config Release -j $(sysctl -n hw.logicalcpu)
sudo cmake --install . --config Release
- name: xcodebuild for swift package
id: xcodebuild
run: |
xcodebuild -scheme llama-Package -destination "${{ matrix.destination }}"
windows-msys2:
runs-on: windows-latest
@ -1104,6 +1113,29 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
- name: Build
id: cmake_build
run: |
sysctl -a
mkdir build
cd build
cmake -G Xcode .. \
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TESTS=OFF \
-DLLAMA_BUILD_SERVER=OFF \
-DCMAKE_SYSTEM_NAME=iOS \
-DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \
-DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml
cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO
sudo cmake --install . --config Release
- name: xcodebuild for swift package
id: xcodebuild
run: |
xcodebuild -scheme llama-Package -destination 'generic/platform=iOS'
- name: Build Xcode project
run: xcodebuild -project examples/llama.swiftui/llama.swiftui.xcodeproj -scheme llama.swiftui -sdk iphoneos CODE_SIGNING_REQUIRED=NO CODE_SIGN_IDENTITY= -destination 'generic/platform=iOS' build
@ -1131,23 +1163,6 @@ jobs:
./gradlew build --no-daemon
# freeBSD-latest:
# runs-on: macos-12
# steps:
# - name: Clone
# uses: actions/checkout@v4
#
# - name: Build
# uses: cross-platform-actions/action@v0.19.0
# with:
# operating_system: freebsd
# version: '13.2'
# hypervisor: 'qemu'
# run: |
# sudo pkg update
# sudo pkg install -y gmake automake autoconf pkgconf llvm15 openblas
# gmake CC=/usr/local/bin/clang15 CXX=/usr/local/bin/clang++15 -j `sysctl -n hw.ncpu`
release:
if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }}

78
Package.swift
View file

@ -2,60 +2,6 @@
import PackageDescription
var sources = [
"src/llama.cpp",
"src/llama-vocab.cpp",
"src/llama-grammar.cpp",
"src/llama-sampling.cpp",
"src/unicode.cpp",
"src/unicode-data.cpp",
"ggml/src/ggml.c",
"ggml/src/ggml-alloc.c",
"ggml/src/ggml-backend.cpp",
"ggml/src/ggml-backend-reg.cpp",
"ggml/src/ggml-cpu/ggml-cpu.c",
"ggml/src/ggml-cpu/ggml-cpu.cpp",
"ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp",
"ggml/src/ggml-cpu/ggml-cpu-hbm.cpp",
"ggml/src/ggml-cpu/ggml-cpu-quants.c",
"ggml/src/ggml-cpu/ggml-cpu-traits.cpp",
"ggml/src/ggml-threading.cpp",
"ggml/src/ggml-quants.c",
]
var resources: [Resource] = []
var linkerSettings: [LinkerSetting] = []
var cSettings: [CSetting] = [
.unsafeFlags(["-Wno-shorten-64-to-32", "-O3", "-DNDEBUG"]),
.unsafeFlags(["-fno-objc-arc"]),
.headerSearchPath("ggml/src"),
.headerSearchPath("ggml/src/ggml-cpu"),
// NOTE: NEW_LAPACK will required iOS version 16.4+
// We should consider add this in the future when we drop support for iOS 14
// (ref: ref: https://developer.apple.com/documentation/accelerate/1513264-cblas_sgemm?language=objc)
// .define("ACCELERATE_NEW_LAPACK"),
// .define("ACCELERATE_LAPACK_ILP64")
.define("GGML_USE_CPU"),
]
#if canImport(Darwin)
sources.append("ggml/src/ggml-common.h")
sources.append("ggml/src/ggml-metal/ggml-metal.m")
resources.append(.process("ggml/src/ggml-metal/ggml-metal.metal"))
linkerSettings.append(.linkedFramework("Accelerate"))
cSettings.append(
contentsOf: [
.define("GGML_USE_ACCELERATE"),
.define("GGML_USE_METAL"),
]
)
#endif
#if os(Linux)
cSettings.append(.define("_GNU_SOURCE"))
#endif
let package = Package(
name: "llama",
platforms: [
@ -68,26 +14,6 @@ let package = Package(
.library(name: "llama", targets: ["llama"]),
],
targets: [
.target(
name: "llama",
path: ".",
exclude: [
"build",
"cmake",
"examples",
"scripts",
"models",
"tests",
"CMakeLists.txt",
"Makefile",
"ggml/src/ggml-metal-embed.metal"
],
sources: sources,
resources: resources,
publicHeadersPath: "spm-headers",
cSettings: cSettings,
linkerSettings: linkerSettings
)
],
cxxLanguageStandard: .cxx17
.systemLibrary(name: "llama", pkgConfig: "llama"),
]
)

4
Sources/llama/llama.h Normal file
View file

@ -0,0 +1,4 @@
#pragma once
#include <llama.h>

5
Sources/llama/module.modulemap Normal file
View file

@ -0,0 +1,5 @@
module llama [system] {
header "llama.h"
link "llama"
export *
}

2
cmake/llama.pc.in
View file

@ -6,5 +6,5 @@ includedir=${prefix}/include
Name: llama
Description: Port of Facebook's LLaMA model in C/C++
Version: @PROJECT_VERSION@
Libs: -L${libdir} -lllama
Libs: -L${libdir} -lggml -lggml-base -lllama
Cflags: -I${includedir}

8
examples/llama.swiftui/llama.cpp.swift/LibLlama.swift
View file

@ -210,20 +210,20 @@ actor LlamaContext {
llama_kv_cache_clear(context)
let t_pp_start = ggml_time_us()
let t_pp_start = DispatchTime.now().uptimeNanoseconds / 1000;
if llama_decode(context, batch) != 0 {
print("llama_decode() failed during prompt")
}
llama_synchronize(context)
let t_pp_end = ggml_time_us()
let t_pp_end = DispatchTime.now().uptimeNanoseconds / 1000;
// bench text generation
llama_kv_cache_clear(context)
let t_tg_start = ggml_time_us()
let t_tg_start = DispatchTime.now().uptimeNanoseconds / 1000;
for i in 0..<tg {
llama_batch_clear(&batch)
@ -238,7 +238,7 @@ actor LlamaContext {
llama_synchronize(context)
}
let t_tg_end = ggml_time_us()
let t_tg_end = DispatchTime.now().uptimeNanoseconds / 1000;
llama_kv_cache_clear(context)

8
examples/llama.swiftui/llama.swiftui.xcodeproj/project.pbxproj
View file

@ -7,6 +7,7 @@
objects = {
/* Begin PBXBuildFile section */
1809696D2D05A39F00400EE8 /* llama in Frameworks */ = {isa = PBXBuildFile; productRef = 1809696C2D05A39F00400EE8 /* llama */; };
549479CB2AC9E16000E0F78B /* Metal.framework in Frameworks */ = {isa = PBXBuildFile; fileRef = 549479CA2AC9E16000E0F78B /* Metal.framework */; };
79E1D9CD2B4CD16E005F8E46 /* InputButton.swift in Sources */ = {isa = PBXBuildFile; fileRef = 79E1D9CC2B4CD16E005F8E46 /* InputButton.swift */; };
7FA3D2B32B2EA2F600543F92 /* DownloadButton.swift in Sources */ = {isa = PBXBuildFile; fileRef = 7FA3D2B22B2EA2F600543F92 /* DownloadButton.swift */; };
@ -17,7 +18,6 @@
8A3F84242AC4C891005E2EE8 /* models in Resources */ = {isa = PBXBuildFile; fileRef = 8A3F84232AC4C891005E2EE8 /* models */; };
8A907F332AC7138A006146EA /* LibLlama.swift in Sources */ = {isa = PBXBuildFile; fileRef = 8A907F322AC7134E006146EA /* LibLlama.swift */; };
8A9F7C4D2AC332EE008AE1EA /* LlamaState.swift in Sources */ = {isa = PBXBuildFile; fileRef = 8A9F7C4C2AC332EE008AE1EA /* LlamaState.swift */; };
DF810E132B4A5BA200301144 /* llama in Frameworks */ = {isa = PBXBuildFile; productRef = DF810E122B4A5BA200301144 /* llama */; };
F1FE20E22B465ECA00B45541 /* LoadCustomButton.swift in Sources */ = {isa = PBXBuildFile; fileRef = F1FE20E12B465EC900B45541 /* LoadCustomButton.swift */; };
/* End PBXBuildFile section */
@ -42,7 +42,7 @@
isa = PBXFrameworksBuildPhase;
buildActionMask = 2147483647;
files = (
DF810E132B4A5BA200301144 /* llama in Frameworks */,
1809696D2D05A39F00400EE8 /* llama in Frameworks */,
549479CB2AC9E16000E0F78B /* Metal.framework in Frameworks */,
8A39BE0A2AC7601100BFEB40 /* Accelerate.framework in Frameworks */,
);
@ -151,7 +151,7 @@
);
name = llama.swiftui;
packageProductDependencies = (
DF810E122B4A5BA200301144 /* llama */,
1809696C2D05A39F00400EE8 /* llama */,
);
productName = llama.swiftui;
productReference = 8A1C83732AC328BD0096AF73 /* llama.swiftui.app */;
@ -429,7 +429,7 @@
/* End XCConfigurationList section */
/* Begin XCSwiftPackageProductDependency section */
DF810E122B4A5BA200301144 /* llama */ = {
1809696C2D05A39F00400EE8 /* llama */ = {
isa = XCSwiftPackageProductDependency;
productName = llama;
};

196
examples/server/server.cpp
View file

@ -392,7 +392,7 @@ struct server_task_result {
return false;
}
virtual bool is_stop() {
// only used by server_task_result_cmpl_partial
// only used by server_task_result_cmpl_*
return false;
}
virtual int get_index() {
@ -478,14 +478,20 @@ struct server_task_result_cmpl_final : server_task_result {
return index;
}
virtual bool is_stop() override {
return true; // in stream mode, final responses are considered stop
}
virtual json to_json() override {
return oaicompat ? to_json_oaicompat_chat() : to_json_non_oaicompat();
return oaicompat
? (stream ? to_json_oaicompat_chat_stream() : to_json_oaicompat_chat())
: to_json_non_oaicompat();
}
json to_json_non_oaicompat() {
json res = json {
{"index", index},
{"content", content},
{"content", stream ? "" : content}, // in stream mode, content is already in last partial chunk
{"id_slot", id_slot},
{"stop", true},
{"model", oaicompat_model},
@ -546,18 +552,46 @@ struct server_task_result_cmpl_final : server_task_result {
return res;
}
json to_json_oaicompat_chat_stream() {
std::time_t t = std::time(0);
std::string finish_reason = "length";
if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) {
finish_reason = "stop";
}
json choices = json::array({json{{"finish_reason", finish_reason},
{"index", 0},
{"delta", json::object()}}});
json ret = json {
{"choices", choices},
{"created", t},
{"id", oaicompat_cmpl_id},
{"model", oaicompat_model},
{"object", "chat.completion.chunk"},
{"usage", json {
{"completion_tokens", n_decoded},
{"prompt_tokens", n_prompt_tokens},
{"total_tokens", n_decoded + n_prompt_tokens},
}},
};
if (timings.prompt_n >= 0) {
ret.push_back({"timings", timings.to_json()});
}
return ret;
}
};
struct server_task_result_cmpl_partial : server_task_result {
int index = 0;
std::string content;
bool truncated;
int32_t n_decoded;
int32_t n_prompt_tokens;
stop_type stop = STOP_TYPE_NONE;
std::vector<completion_token_output> probs_output;
result_timings timings;
@ -573,20 +607,19 @@ struct server_task_result_cmpl_partial : server_task_result {
}
virtual bool is_stop() override {
return stop != STOP_TYPE_NONE;
return false; // in stream mode, partial responses are not considered stop
}
virtual json to_json() override {
if (oaicompat) {
return to_json_oaicompat();
}
bool is_stop = stop != STOP_TYPE_NONE;
return oaicompat ? to_json_oaicompat() : to_json_non_oaicompat();
}
json to_json_non_oaicompat() {
// non-OAI-compat JSON
json res = json {
{"index", index},
{"content", content},
{"stop_type", stop_type_to_str(stop)},
{"stop", is_stop},
{"stop", false},
{"id_slot", id_slot},
{"tokens_predicted", n_decoded},
{"tokens_evaluated", n_prompt_tokens},
@ -598,72 +631,54 @@ struct server_task_result_cmpl_partial : server_task_result {
if (!probs_output.empty()) {
res["completion_probabilities"] = completion_token_output::probs_vector_to_json(probs_output);
}
if (is_stop) {
res.push_back({"truncated", truncated});
}
return res;
}
json to_json_oaicompat() {
bool first = n_decoded == 0;
std::string finish_reason;
if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) {
finish_reason = "stop";
} else if (stop == STOP_TYPE_LIMIT) {
finish_reason = "length";
}
std::time_t t = std::time(0);
json choices;
if (!finish_reason.empty()) {
choices = json::array({json{{"finish_reason", finish_reason},
{"index", 0},
{"delta", json::object()}}});
} else {
if (first) {
if (content.empty()) {
choices = json::array({json{{"finish_reason", nullptr},
{"index", 0},
{"delta", json{{"role", "assistant"}}}}});
} else {
// We have to send this as two updates to conform to openai behavior
json initial_ret = json{{"choices", json::array({json{
{"finish_reason", nullptr},
if (first) {
if (content.empty()) {
choices = json::array({json{{"finish_reason", nullptr},
{"index", 0},
{"delta", json{
{"role", "assistant"}
}}}})},
{"created", t},
{"id", oaicompat_cmpl_id},
{"model", oaicompat_model},
{"object", "chat.completion.chunk"}};
json second_ret = json{
{"choices", json::array({json{{"finish_reason", nullptr},
{"index", 0},
{"delta", json{
{"content", content}}}
}})},
{"created", t},
{"id", oaicompat_cmpl_id},
{"model", oaicompat_model},
{"object", "chat.completion.chunk"}};
return std::vector<json>({initial_ret, second_ret});
}
{"delta", json{{"role", "assistant"}}}}});
} else {
choices = json::array({json{
{"finish_reason", nullptr},
{"index", 0},
{"delta",
json{
{"content", content},
}},
}});
// We have to send this as two updates to conform to openai behavior
json initial_ret = json{{"choices", json::array({json{
{"finish_reason", nullptr},
{"index", 0},
{"delta", json{
{"role", "assistant"}
}}}})},
{"created", t},
{"id", oaicompat_cmpl_id},
{"model", oaicompat_model},
{"object", "chat.completion.chunk"}};
json second_ret = json{
{"choices", json::array({json{{"finish_reason", nullptr},
{"index", 0},
{"delta", json{
{"content", content}}}
}})},
{"created", t},
{"id", oaicompat_cmpl_id},
{"model", oaicompat_model},
{"object", "chat.completion.chunk"}};
return std::vector<json>({initial_ret, second_ret});
}
} else {
choices = json::array({json{
{"finish_reason", nullptr},
{"index", 0},
{"delta",
json{
{"content", content},
}},
}});
}
json ret = json {
@ -678,14 +693,6 @@ struct server_task_result_cmpl_partial : server_task_result {
ret.push_back({"timings", timings.to_json()});
}
if (!finish_reason.empty()) {
ret.push_back({"usage", json {
{"completion_tokens", n_decoded},
{"prompt_tokens", n_prompt_tokens},
{"total_tokens", n_decoded + n_prompt_tokens},
}});
}
return std::vector<json>({ret});
}
};
@ -1888,12 +1895,9 @@ struct server_context {
res->index = slot.index;
res->content = tkn.text_to_send;
res->truncated = slot.truncated;
res->n_decoded = slot.n_decoded;
res->n_prompt_tokens = slot.n_prompt_tokens;
res->stop = slot.stop;
res->verbose = slot.params.verbose;
res->oaicompat = slot.params.oaicompat;
res->oaicompat_chat = slot.params.oaicompat_chat;
@ -1924,12 +1928,6 @@ struct server_context {
}
void send_final_response(server_slot & slot) {
if (slot.params.stream) {
// if in stream mode, send the last partial response
send_partial_response(slot, {0, "", {}});
return;
}
auto res = std::make_unique<server_task_result_cmpl_final>();
res->id = slot.id_task;
res->id_slot = slot.id;
@ -1948,6 +1946,7 @@ struct server_context {
res->stop = slot.stop;
res->verbose = slot.params.verbose;
res->stream = slot.params.stream;
res->oaicompat = slot.params.oaicompat;
res->oaicompat_chat = slot.params.oaicompat_chat;
res->oaicompat_model = slot.params.oaicompat_model;
@ -2100,7 +2099,10 @@ struct server_context {
return;
}
GGML_ASSERT(dynamic_cast<server_task_result_cmpl_partial*>(result.get()) != nullptr);
GGML_ASSERT(
dynamic_cast<server_task_result_cmpl_partial*>(result.get()) != nullptr
|| dynamic_cast<server_task_result_cmpl_final*>(result.get()) != nullptr
);
if (!result_handler(result)) {
cancel_tasks(id_tasks);
break;
@ -3482,6 +3484,11 @@ int main(int argc, char ** argv) {
json data = json::parse(req.body);
// validate input
if (data.contains("prompt") && !data.at("prompt").is_string()) {
// prompt is optional
res_error(res, format_error_response("\"prompt\" must be a string", ERROR_TYPE_INVALID_REQUEST));
}
if (!data.contains("input_prefix")) {
res_error(res, format_error_response("\"input_prefix\" is required", ERROR_TYPE_INVALID_REQUEST));
}
@ -3491,9 +3498,11 @@ int main(int argc, char ** argv) {
}
if (data.contains("input_extra") && !data.at("input_extra").is_array()) {
// input_extra is optional
res_error(res, format_error_response("\"input_extra\" must be an array of {\"filename\": string, \"text\": string}", ERROR_TYPE_INVALID_REQUEST));
return;
}
json input_extra = json_value(data, "input_extra", json::array());
for (const auto & chunk : input_extra) {
// { "text": string, "filename": string }
@ -3509,6 +3518,21 @@ int main(int argc, char ** argv) {
}
data["input_extra"] = input_extra; // default to empty array if it's not exist
std::string prompt = json_value(data, "prompt", std::string());
std::vector<llama_tokens> tokenized_prompts = tokenize_input_prompts(ctx_server.ctx, prompt, true, true);
SRV_DBG("creating infill tasks, n_prompts = %d\n", (int) tokenized_prompts.size());
data["prompt"] = format_infill(
ctx_server.ctx,
data.at("input_prefix"),
data.at("input_suffix"),
data.at("input_extra"),
ctx_server.params_base.n_batch,
ctx_server.params_base.n_predict,
ctx_server.slots[0].n_ctx, // TODO: there should be a better way
ctx_server.params_base.spm_infill,
tokenized_prompts[0]
);
return handle_completions_generic(SERVER_TASK_TYPE_INFILL, data, res);
};

6
examples/server/tests/unit/test_completion.py
View file

@ -42,10 +42,16 @@ def test_completion_stream(prompt: str, n_predict: int, re_content: str, n_promp
})
content = ""
for data in res:
assert "stop" in data and type(data["stop"]) == bool
if data["stop"]:
assert data["timings"]["prompt_n"] == n_prompt
assert data["timings"]["predicted_n"] == n_predicted
assert data["truncated"] == truncated
assert data["stop_type"] == "limit"
assert "generation_settings" in data
assert server.n_predict is not None
assert data["generation_settings"]["n_predict"] == min(n_predict, server.n_predict)
assert data["generation_settings"]["seed"] == server.seed
assert match_regex(re_content, content)
else:
content += data["content"]

36
examples/server/tests/unit/test_infill.py
View file

@ -13,28 +13,28 @@ def test_infill_without_input_extra():
global server
server.start()
res = server.make_request("POST", "/infill", data={
"prompt": "Complete this",
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n int n_threads = llama_",
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n",
"prompt": " int n_threads = llama_",
"input_suffix": "}\n",
})
assert res.status_code == 200
assert match_regex("(One|day|she|saw|big|scary|bird)+", res.body["content"])
assert match_regex("(Ann|small|shiny)+", res.body["content"])
def test_infill_with_input_extra():
global server
server.start()
res = server.make_request("POST", "/infill", data={
"prompt": "Complete this",
"input_extra": [{
"filename": "llama.h",
"text": "LLAMA_API int32_t llama_n_threads();\n"
}],
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n int n_threads = llama_",
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n",
"prompt": " int n_threads = llama_",
"input_suffix": "}\n",
})
assert res.status_code == 200
assert match_regex("(cuts|Jimmy|mom|came|into|the|room)+", res.body["content"])
assert match_regex("(Dad|excited|park)+", res.body["content"])
@pytest.mark.parametrize("input_extra", [
@ -48,10 +48,30 @@ def test_invalid_input_extra_req(input_extra):
global server
server.start()
res = server.make_request("POST", "/infill", data={
"prompt": "Complete this",
"input_extra": [input_extra],
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n int n_threads = llama_",
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n",
"prompt": " int n_threads = llama_",
"input_suffix": "}\n",
})
assert res.status_code == 400
assert "error" in res.body
@pytest.mark.skipif(not is_slow_test_allowed(), reason="skipping slow test")
def test_with_qwen_model():
global server
server.model_file = None
server.model_hf_repo = "ggml-org/Qwen2.5-Coder-1.5B-IQ3_XXS-GGUF"
server.model_hf_file = "qwen2.5-coder-1.5b-iq3_xxs-imat.gguf"
server.start(timeout_seconds=600)
res = server.make_request("POST", "/infill", data={
"input_extra": [{
"filename": "llama.h",
"text": "LLAMA_API int32_t llama_n_threads();\n"
}],
"input_prefix": "#include <cstdio>\n#include \"llama.h\"\n\nint main() {\n",
"prompt": " int n_threads = llama_",
"input_suffix": "}\n",
})
assert res.status_code == 200
assert res.body["content"] == "n_threads();\n printf(\"Number of threads: %d\\n\", n_threads);\n return 0;\n"

3
examples/server/tests/utils.py
View file

@ -371,3 +371,6 @@ def match_regex(regex: str, text: str) -> bool:
).search(text)
is not None
)
def is_slow_test_allowed():
return os.environ.get("SLOW_TESTS") == "1" or os.environ.get("SLOW_TESTS") == "ON"

3
ggml/src/ggml-vulkan/vulkan-shaders/tanh.comp
View file

@ -16,6 +16,5 @@ void main() {
if (i >= p.KX) {
return;
}
data_d[i] = D_TYPE(tanh(data_a[i]));
data_d[i] = D_TYPE(1. - 2. / (exp(2.*data_a[i]) + 1.));
}