Repository: kibae/onnxruntime-server
Branch: main
Commit: 60c55b0b7b90
Files: 97
Total size: 3.0 MB
Directory structure:
gitextract_clwri4nw/
├── .clang-format
├── .github/
│ ├── actions/
│ │ ├── download-onnxruntime-linux.sh
│ │ ├── download-onnxruntime-osx.sh
│ │ └── download-onnxruntime-windows.sh
│ ├── cache/
│ │ └── dependencies-apt/
│ │ └── .gitkeep
│ ├── dependabot.yml
│ └── workflows/
│ ├── cmake-linux.yml
│ ├── cmake-macos.yml
│ ├── cmake-windows.yml
│ └── codeql.yml
├── .gitignore
├── CMakeLists.txt
├── LICENSE
├── README.md
├── cmake/
│ └── FindONNXRuntime.cmake
├── deploy/
│ ├── build-docker/
│ │ ├── README.md
│ │ ├── VERSION
│ │ ├── build.sh
│ │ ├── docker-compose.yaml
│ │ ├── docker-image-test.sh
│ │ ├── download-onnxruntime.sh
│ │ ├── linux-cpu.dockerfile
│ │ ├── linux-cuda12.dockerfile
│ │ └── linux-cuda13.dockerfile
│ └── update-version.sh
├── docs/
│ ├── docker.md
│ └── swagger/
│ ├── index.css
│ ├── index.html
│ ├── openapi.yaml
│ ├── swagger-ui-bundle.js
│ ├── swagger-ui-standalone-preset.js
│ └── swagger-ui.css
├── download-onnxruntime-linux.sh
├── src/
│ ├── CMakeLists.txt
│ ├── onnx/
│ │ ├── cuda/
│ │ │ ├── session_options.cpp
│ │ │ └── session_options.hpp
│ │ ├── execution/
│ │ │ ├── context.cpp
│ │ │ └── input_value.cpp
│ │ ├── providers.cpp
│ │ ├── session.cpp
│ │ ├── session_key.cpp
│ │ ├── session_key_with_option.cpp
│ │ ├── session_manager.cpp
│ │ ├── value_info.cpp
│ │ └── version.cpp
│ ├── onnxruntime_server.hpp
│ ├── standalone/
│ │ ├── CMakeLists.txt
│ │ ├── main.cpp
│ │ ├── model_bin_getter.hpp
│ │ ├── standalone.cpp
│ │ └── standalone.hpp
│ ├── task/
│ │ ├── create_session.cpp
│ │ ├── destroy_session.cpp
│ │ ├── execute_session.cpp
│ │ ├── get_session.cpp
│ │ ├── list_session.cpp
│ │ └── task.cpp
│ ├── test/
│ │ ├── CMakeLists.txt
│ │ ├── e2e/
│ │ │ ├── e2e_test_http_server.cpp
│ │ │ ├── e2e_test_http_swagger.cpp
│ │ │ ├── e2e_test_https_server.cpp
│ │ │ └── e2e_test_tcp_server.cpp
│ │ ├── test_common.hpp
│ │ ├── test_lib_version.cpp
│ │ └── unit/
│ │ ├── unit_test_context.cpp
│ │ ├── unit_test_context_cuda.cpp
│ │ └── unit_test_session.cpp
│ ├── thread_pool.hpp
│ ├── transport/
│ │ ├── http/
│ │ │ ├── http_server.cpp
│ │ │ ├── http_server.hpp
│ │ │ ├── http_session.cpp
│ │ │ ├── http_session_base.cpp
│ │ │ ├── https_server.cpp
│ │ │ ├── https_session.cpp
│ │ │ ├── swagger/
│ │ │ │ ├── document_bin_data.h
│ │ │ │ ├── generate_swagger.sh
│ │ │ │ ├── swagger_index_html.cpp
│ │ │ │ └── swagger_openapi_yaml.cpp
│ │ │ └── swagger_serve.cpp
│ │ ├── server.cpp
│ │ └── tcp/
│ │ ├── tcp_server.hpp
│ │ └── tcp_session.cpp
│ └── utils/
│ ├── aixlog.hpp
│ ├── exceptions.hpp
│ ├── json.hpp
│ └── windows.h
└── test/
├── fixture/
│ ├── download-test-fixtures.sh
│ └── sample/
│ ├── 1/
│ │ └── README.md
│ └── 2/
│ └── README.md
├── http/
│ ├── http-client.env.json
│ └── http_test.http
├── sample-onnx-generator/
│ ├── requirements.txt
│ ├── sample-model1.py
│ └── website_classification.py
└── ssl/
├── server-cert.pem
├── server-csr.pem
└── server-key.pem
================================================
FILE CONTENTS
================================================
================================================
FILE: .clang-format
================================================
---
Language: Cpp
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================================================
FILE: .github/actions/download-onnxruntime-linux.sh
================================================
#!/usr/bin/env bash
cd "$(dirname "$0")" || exit
echo
echo "Select onnxruntime version to download:"
AUTH_HEADER=""
if [ -n "$GITHUB_TOKEN" ]; then
AUTH_HEADER="-H \"Authorization: Bearer $GITHUB_TOKEN\""
fi
RAW_LIST=$(eval curl -s -H "Accept: application/vnd.github+json" \
-H "X-GitHub-Api-Version: 2022-11-28" \
$AUTH_HEADER \
https://api.github.com/repos/microsoft/onnxruntime/releases/latest \
| grep browser_download_url \
| grep -E "onnxruntime-linux-x64-([.0-9]+)tgz" \
| awk '{print $2}' \
| tr -d '"')
item=${RAW_LIST[0]}
FILENAME=$(basename "$item")
echo
echo "Downloading $item"
echo
wget -q "$item"
sudo mkdir -p /usr/local/onnxruntime
sudo tar vzxf "$FILENAME" -C /usr/local/onnxruntime --strip-components=1
sudo sh -c 'echo "/usr/local/onnxruntime/lib" > /etc/ld.so.conf.d/onnxruntime.conf'
sudo ldconfig
rm -f "$FILENAME"
echo
echo "Done"
echo
================================================
FILE: .github/actions/download-onnxruntime-osx.sh
================================================
#!/usr/bin/env bash
cd "$(dirname "$0")" || exit
echo
echo "Select onnxruntime version to download:"
AUTH_HEADER=""
if [ -n "$GITHUB_TOKEN" ]; then
AUTH_HEADER="-H \"Authorization: Bearer $GITHUB_TOKEN\""
fi
RAW_LIST=$(eval curl -s -H "Accept: application/vnd.github+json" \
-H "X-GitHub-Api-Version: 2022-11-28" \
$AUTH_HEADER \
https://api.github.com/repos/microsoft/onnxruntime/releases/latest \
| grep browser_download_url \
| grep -E "onnxruntime-osx-arm64-([.0-9]+)tgz" \
| awk '{print $2}' \
| tr -d '"')
item=${RAW_LIST[0]}
# check item is not empty
if [ -z "$item" ]; then
echo "Error: Could not find onnxruntime download link."
exit 1
fi
FILENAME=$(basename "$item")
echo
echo "Downloading $item"
echo
wget -q "$item"
sudo mkdir -p /usr/local/onnxruntime
sudo tar vzxf "$FILENAME" -C /usr/local/onnxruntime --strip-components=2
rm -f "$FILENAME"
echo
echo "Done"
echo
exit 0
================================================
FILE: .github/actions/download-onnxruntime-windows.sh
================================================
#!/usr/bin/env bash
cd "$(dirname "$0")" || exit
echo
echo "Select onnxruntime version to download:"
RAW_LIST=$(curl -s -H "Accept: application/vnd.github+json" \
-H "X-GitHub-Api-Version: 2022-11-28" \
https://api.github.com/repos/microsoft/onnxruntime/releases/latest \
| grep browser_download_url \
| grep -E "onnxruntime-win-x64-([.0-9]+)zip" \
| awk '{print $2}' \
| tr -d '"')
item=${RAW_LIST[0]}
FILENAME=$(basename "$item")
DIRNAME="${FILENAME%.zip}"
echo
echo "Downloading $item"
echo
curl -q --output "$FILENAME" -L "$item"
unzip "$FILENAME"
mv ${DIRNAME} C:/msys64/usr/local/onnxruntime
ls -al C:/msys64/usr/local/onnxruntime
rm -f "$FILENAME"
echo
echo "Done"
echo
================================================
FILE: .github/cache/dependencies-apt/.gitkeep
================================================
================================================
FILE: .github/dependabot.yml
================================================
# To get started with Dependabot version updates, you'll need to specify which
# package ecosystems to update and where the package manifests are located.
# Please see the documentation for all configuration options:
# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
version: 2
updates:
- package-ecosystem: "cmake" # See documentation for possible values
directory: "/" # Location of package manifests
schedule:
interval: "weekly"
================================================
FILE: .github/workflows/cmake-linux.yml
================================================
# See: https://github.com/actions/starter-workflows/blob/main/ci/cmake-single-platform.yml
name: CMake on Linux
permissions:
contents: read
pull-requests: write
on:
push:
branches: [ "*" ]
pull_request:
branches: [ "*" ]
jobs:
prepare-asset:
if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
with:
lfs: false
- name: (Cache) Restore test fixtures
id: cache-test-fixtures
uses: actions/cache/restore@v5
with:
path: test/fixture
key: test-fixtures-v1
lookup-only: true
- name: Download assets(models)
if: steps.cache-test-fixtures.outputs.cache-hit != 'true'
shell: bash
run: |
./test/fixture/download-test-fixtures.sh
- name: (Cache) Save test fixtures
if: steps.cache-test-fixtures.outputs.cache-hit != 'true'
uses: actions/cache/save@v5
with:
path: test/fixture
key: test-fixtures-v1
prepare-apt:
if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ ubuntu-22.04, ubuntu-24.04 ]
build_type: [ Debug ]
steps:
- uses: actions/checkout@v6
with:
lfs: false
- name: (Cache) Restore dependencies(apt)
id: cache-dependencies-apt
uses: actions/cache/restore@v5
with:
path: .github/cache/dependencies-apt
key: ${{ matrix.os }}-dependencies-apt-v1
lookup-only: true
- name: Prepare container(apt download)
shell: bash
if: steps.cache-dependencies-apt.outputs.cache-hit != 'true' && (startsWith(matrix.os, 'debian-') || startsWith(matrix.os, 'ubuntu-'))
run: |
cat /etc/os-release
sudo apt-get update -qq
sudo apt-get install -yq --download-only build-essential clang cmake libboost-all-dev libssl-dev libgtest-dev
cp /var/cache/apt/archives/*.deb .github/cache/dependencies-apt/
- name: (Cache) Save dependencies(apt)
if: steps.cache-dependencies-apt.outputs.cache-hit != 'true' && (startsWith(matrix.os, 'debian-') || startsWith(matrix.os, 'ubuntu-'))
uses: actions/cache/save@v5
with:
path: .github/cache/dependencies-apt
key: ${{ matrix.os }}-dependencies-apt-v1
build:
runs-on: ${{ matrix.os }}
needs: [ "prepare-asset", "prepare-apt" ]
strategy:
fail-fast: false
matrix:
os: [ ubuntu-22.04, ubuntu-24.04 ]
c_compiler: [ gcc, clang ]
build_type: [ Debug ]
include:
- c_compiler: gcc
cpp_compiler: g++
- c_compiler: clang
cpp_compiler: clang++
steps:
- uses: actions/checkout@v6
with:
lfs: false
- name: (Cache) Restore dependencies(apt)
id: cache-dependencies-apt
uses: actions/cache/restore@v5
with:
path: .github/cache/dependencies-apt
key: ${{ matrix.os }}-dependencies-apt-v1
fail-on-cache-miss: true
- name: Prepare container(apt)
shell: bash
if: startsWith(matrix.os, 'debian-') || startsWith(matrix.os, 'ubuntu-')
run: |
cat /etc/os-release
sudo dpkg -i .github/cache/dependencies-apt/*.deb
- name: Prepare container(onnxruntime)
shell: bash
run: |
./.github/actions/download-onnxruntime-linux.sh
- name: Set reusable strings
# Turn repeated input strings (such as the build output directory) into step outputs. These step outputs can be used throughout the workflow file.
id: strings
shell: bash
run: |
echo "build-output-dir=${{ github.workspace }}/build" >> "$GITHUB_OUTPUT"
- name: Configure CMake
# Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.
# See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type
run: >
cmake -B ${{ steps.strings.outputs.build-output-dir }}
-DCMAKE_CXX_COMPILER=${{ matrix.cpp_compiler }}
-DCMAKE_C_COMPILER=${{ matrix.c_compiler }}
-DCMAKE_BUILD_TYPE=${{ matrix.build_type }}
-S ${{ github.workspace }}
- name: Build
# Build your program with the given configuration. Note that --config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).
run: cmake --build ${{ steps.strings.outputs.build-output-dir }} --config ${{ matrix.build_type }} --parallel 4
- name: (Cache) Restore test fixtures
uses: actions/cache/restore@v5
with:
path: test/fixture
key: test-fixtures-v1
fail-on-cache-miss: true
- name: Test
working-directory: ${{ steps.strings.outputs.build-output-dir }}
# Execute tests defined by the CMake configuration. Note that --build-config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).
# See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail
run: ctest --extra-verbose --build-config ${{ matrix.build_type }}
================================================
FILE: .github/workflows/cmake-macos.yml
================================================
# See: https://github.com/actions/starter-workflows/blob/main/ci/cmake-single-platform.yml
name: CMake on MacOS
permissions:
contents: read
pull-requests: write
on:
push:
branches: [ "*" ]
pull_request:
branches: [ "*" ]
jobs:
build:
if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ macos-latest ]
build_type: [ Debug ]
c_compiler: [ clang ]
include:
- c_compiler: clang
cpp_compiler: clang++
steps:
- uses: actions/checkout@v6
with:
lfs: false
- name: Prepare container(homebrew)
shell: bash
run: |
brew update
HOMEBREW_NO_INSTALLED_DEPENDENTS_CHECK=1 HOMEBREW_NO_AUTO_UPDATE=1 brew install cmake boost openssl googletest
./.github/actions/download-onnxruntime-osx.sh || HOMEBREW_NO_INSTALLED_DEPENDENTS_CHECK=1 HOMEBREW_NO_AUTO_UPDATE=1 brew install onnxruntime
- name: Set reusable strings
# Turn repeated input strings (such as the build output directory) into step outputs. These step outputs can be used throughout the workflow file.
id: strings
shell: bash
run: |
echo "build-output-dir=${{ github.workspace }}/build" >> "$GITHUB_OUTPUT"
- name: Configure CMake
# Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.
# See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type
run: >
cmake -B ${{ steps.strings.outputs.build-output-dir }}
-DCMAKE_CXX_COMPILER=${{ matrix.cpp_compiler }}
-DCMAKE_C_COMPILER=${{ matrix.c_compiler }}
-DCMAKE_BUILD_TYPE=${{ matrix.build_type }}
-S ${{ github.workspace }}
- name: Build
# Build your program with the given configuration. Note that --config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).
run: cmake --build ${{ steps.strings.outputs.build-output-dir }} --config ${{ matrix.build_type }} --parallel 4
- name: (Cache) Restore test fixtures
uses: actions/cache/restore@v5
with:
path: test/fixture
key: test-fixtures-v1
fail-on-cache-miss: true
- name: Test
working-directory: ${{ steps.strings.outputs.build-output-dir }}
# Execute tests defined by the CMake configuration. Note that --build-config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).
# See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail
run: ctest --extra-verbose --build-config ${{ matrix.build_type }}
================================================
FILE: .github/workflows/cmake-windows.yml
================================================
# See: https://github.com/actions/starter-workflows/blob/main/ci/cmake-single-platform.yml
name: CMake on Windows
permissions:
contents: read
pull-requests: write
on:
push:
branches: [ "*" ]
pull_request:
branches: [ "*" ]
jobs:
prepare-asset:
if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}
runs-on: windows-latest
steps:
- uses: actions/checkout@v6
with:
lfs: false
- name: (Cache) Restore test fixtures
id: cache-test-fixtures
uses: actions/cache/restore@v5
with:
path: test/fixture
key: test-fixtures-windows-v1
lookup-only: true
- name: Download assets(models)
if: steps.cache-test-fixtures.outputs.cache-hit != 'true'
shell: bash
run: |
./test/fixture/download-test-fixtures.sh
- name: (Cache) Save test fixtures
if: steps.cache-test-fixtures.outputs.cache-hit != 'true'
uses: actions/cache/save@v5
with:
path: test/fixture
key: test-fixtures-windows-v1
prepare-vcpkg:
if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}
runs-on: windows-latest
steps:
- name: (Cache) Restore vcpkg cache
id: cache-windows-vcpkg
uses: actions/cache/restore@v5
with:
path: C:\vcpkg\installed
key: windows-vcpkg-v4
lookup-only: true
- name: Install dependencies with vcpkg
if: steps.cache-windows-vcpkg.outputs.cache-hit != 'true'
run: |
C:\vcpkg\vcpkg.exe install boost-serialization boost-system boost-filesystem boost-program-options boost-thread boost-asio boost-beast gtest
- name: (Cache) Save vcpkg cache
if: steps.cache-windows-vcpkg.outputs.cache-hit != 'true'
uses: actions/cache/save@v5
with:
path: C:\vcpkg\installed
key: windows-vcpkg-v4
build:
needs: [ "prepare-asset", "prepare-vcpkg" ]
runs-on: windows-latest
strategy:
fail-fast: false
matrix:
build_type: [ Debug ]
steps:
- uses: actions/checkout@v6
with:
lfs: false
- name: (Cache) Restore vcpkg cache
id: cache-windows-vcpkg
uses: actions/cache/restore@v5
with:
path: C:\vcpkg\installed
key: windows-vcpkg-v4
fail-on-cache-miss: true
- name: Install dependencies with MSYS2
run: |
C:\msys64\usr\bin\pacman.exe -S --noconfirm mingw-w64-x86_64-pkg-config
- name: Prepare container(onnxruntime)
shell: bash
run: |
./.github/actions/download-onnxruntime-windows.sh
- name: Set reusable strings
# Turn repeated input strings (such as the build output directory) into step outputs. These step outputs can be used throughout the workflow file.
id: strings
shell: bash
run: |
echo "build-output-dir=${{ github.workspace }}/build" >> "$GITHUB_OUTPUT"
- name: Configure CMake
# Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.
# See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type
run: >
cmake -B ${{ steps.strings.outputs.build-output-dir }}
-DCMAKE_BUILD_TYPE=${{ matrix.build_type }}
-DPKG_CONFIG_EXECUTABLE:FILEPATH=C:/msys64/mingw64/bin/pkg-config.exe
-DCMAKE_TOOLCHAIN_FILE=C:/vcpkg/scripts/buildsystems/vcpkg.cmake
-DVCPKG_FEATURE_FLAGS=binarycaching
-S ${{ github.workspace }}
- name: Build
# Build your program with the given configuration. Note that --config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).
run: cmake --build ${{ steps.strings.outputs.build-output-dir }} --config ${{ matrix.build_type }} --parallel 4
- name: (Cache) Restore test fixtures
uses: actions/cache/restore@v5
with:
path: test/fixture
key: test-fixtures-windows-v1
fail-on-cache-miss: true
- name: Test
working-directory: ${{ steps.strings.outputs.build-output-dir }}
# Execute tests defined by the CMake configuration. Note that --build-config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).
# See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail
run: ctest --extra-verbose --build-config ${{ matrix.build_type }}
================================================
FILE: .github/workflows/codeql.yml
================================================
name: "CodeQL"
on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
schedule:
- cron: '18 0 * * 3'
jobs:
analyze:
if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}
name: Analyze (${{ matrix.language }})
runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}
permissions:
# required for all workflows
security-events: write
# required to fetch internal or private CodeQL packs
packages: read
# only required for workflows in private repositories
actions: read
contents: read
strategy:
fail-fast: false
matrix:
include:
- language: c-cpp
build-mode: autobuild
steps:
- name: Checkout repository
uses: actions/checkout@v6
- name: Prepare container(onnxruntime)
if: runner.os == 'Linux'
shell: bash
run: |
./.github/actions/download-onnxruntime-linux.sh
- name: Prepare container(onnxruntime)
if: runner.os == 'macOS'
shell: bash
run: |
HOMEBREW_NO_INSTALLED_DEPENDENTS_CHECK=1 HOMEBREW_NO_AUTO_UPDATE=1 brew install cmake boost openssl googletest onnxruntime
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
uses: github/codeql-action/init@v4
with:
languages: ${{ matrix.language }}
build-mode: ${{ matrix.build-mode }}
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@v4
with:
category: "/language:${{matrix.language}}"
================================================
FILE: .gitignore
================================================
.idea/
.claude/
cmake-build-debug*/
.claude/
CLAUDE.md
*.onnx
build/
Testing/
src/test/gen/
# python
venv/
__pycache__/
*.py[cod]
*$py.class
/deploy/build-docker/out/
================================================
FILE: CMakeLists.txt
================================================
cmake_minimum_required(VERSION 3.22.0)
project(onnxruntime_server LANGUAGES CXX)
set(CMAKE_CXX_STANDARD 17)
add_subdirectory(src)
enable_testing()
================================================
FILE: LICENSE
================================================
MIT License
Copyright (c) 2023 Kibae Shin
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
================================================
FILE: README.md
================================================
# ONNX Runtime Server
[](https://github.com/microsoft/onnxruntime)
[](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-linux.yml)
[](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-macos.yml)
[](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-windows.yml)
[](https://github.com/kibae/onnxruntime-server/actions/workflows/codeql.yml)
[](https://github.com/kibae/onnxruntime-server/blob/main/LICENSE)
- [ONNX: Open Neural Network Exchange](https://onnx.ai/)
- **The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.**
- ONNX Runtime Server aims to provide simple, high-performance ML inference and a good developer experience.
- If you have exported ML models trained in various environments as ONNX files, you can provide inference APIs
without writing additional code or
metadata. [Just place the ONNX files into the directory structure.](#run-the-server)
- Each ONNX session, you can choose to use CPU or CUDA.
- Analyze the input/output of ONNX models to provide type/shape information for your collaborators.
- Built-in Swagger API documentation makes it easy for collaborators to test ML models through the
API. ([API example](https://kibae.github.io/onnxruntime-server/swagger/))
- [Ready-to-run Docker images.](#docker) No build required.
----
- [Build ONNX Runtime Server](#build-onnx-runtime-server)
- [Requirements](#requirements)
- [Install ONNX Runtime](#install-onnx-runtime)
- [Install dependencies](#install-dependencies)
- [Compile and Install](#compile-and-install)
- [Install via a package manager](#install-via-a-package-manager)
- [Run the server](#run-the-server)
- [Docker](#docker)
- [API](#api)
- [How to use](#how-to-use)
----
# Build ONNX Runtime Server
## Requirements
- [ONNX Runtime](https://onnxruntime.ai/)
- [Boost](https://www.boost.org/)
- [CMake](https://cmake.org/), pkg-config
- CUDA(*optional, for Nvidia GPU support*)
- OpenSSL(*optional, for HTTPS*)
----
## Install ONNX Runtime
#### Linux
- Use `download-onnxruntime-linux.sh` script
- This script downloads the latest version of the binary and install to `/usr/local/onnxruntime`.
- Also, add `/usr/local/onnxruntime/lib` to `/etc/ld.so.conf.d/onnxruntime.conf` and run `ldconfig`.
- Or manually download binary from [ONNX Runtime Releases](https://github.com/microsoft/onnxruntime/releases).
#### Mac OS
```shell
brew install onnxruntime
```
----
## Install dependencies
#### Ubuntu/Debian
```shell
sudo apt install cmake pkg-config libboost-all-dev libssl-dev
# optional, for running tests
sudo apt install libgtest-dev
```
##### (optional) CUDA support (CUDA 12.x/13.x, cuDNN 9.x)
- Follow the instructions below to install the CUDA Toolkit and cuDNN.
- [CUDA Toolkit Installation Guide](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html)
- [CUDA Download for Ubuntu](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=deb_network)
```shell
# CUDA 12
sudo apt install cuda-toolkit-12 libcudnn9-dev-cuda-12
# CUDA 13
sudo apt install cuda-toolkit-13 libcudnn9-dev-cuda-13
# optional, for Nvidia GPU support with Docker
sudo apt install nvidia-container-toolkit
```
#### Mac OS
```shell
brew install cmake boost openssl
```
----
## Compile and Install
```shell
cmake -B build -S . -DCMAKE_BUILD_TYPE=Release
cmake --build build --parallel
sudo cmake --install build --prefix /usr/local/onnxruntime-server
```
----
# Install via a package manager
| OS | Method | Command |
|------------|--------|-----------------------------|
| Arch Linux | AUR | `yay -S onnxruntime-server` |
----
# Run the server
- **You must enter the path option(`--model-dir`) where the models are located.**
- The onnx model files must be located in the following path:
`${model_dir}/${model_name}/${model_version}/model.onnx` or
`${model_dir}/${model_name}/${model_version}.onnx`
| Files in `--model-dir` | Create session request body | Get/Execute session API URL path
================================================
FILE: cmake/FindONNXRuntime.cmake
================================================
message(STATUS "Looking for ONNX Runtime")
set(ONNX_RUNTIME_ROOT_DIR ENV ONNX_ROOT /usr/local/onnxruntime /usr /usr/local /opt/homebrew C:/msys64/usr/local/onnxruntime)
set(ONNX_RUNTIME_INCLUDE_PATHS /usr/local/include/onnxruntime)
set(MACOS_ONNX_RUNTIME_INCLUDE_PATHS /opt/homebrew/include/onnxruntime /opt/homebrew/include/onnxruntime/core/session /usr/local/include/onnxruntime/core/session)
find_path(ONNX_RUNTIME_INCLUDE_DIRS onnxruntime_cxx_api.h PATHS ${ONNX_RUNTIME_ROOT_DIR} ${ONNX_RUNTIME_INCLUDE_PATHS} ${MACOS_ONNX_RUNTIME_INCLUDE_PATHS} PATH_SUFFIXES include include/onnxruntime)
find_library(ONNX_RUNTIME_LIBRARY onnxruntime PATHS ${ONNX_RUNTIME_ROOT_DIR} PATH_SUFFIXES lib)
find_library(ONNX_RUNTIME_CUDA_LIBRARY onnxruntime_providers_cuda PATHS ${ONNX_RUNTIME_LIBRARY} ${ONNX_RUNTIME_ROOT_DIR} PATH_SUFFIXES lib)
if (ONNX_RUNTIME_LIBRARY)
message(STATUS "Found ONNX Runtime include dir: ${ONNX_RUNTIME_INCLUDE_DIRS}")
message(STATUS "Found ONNX Runtime library: ${ONNX_RUNTIME_LIBRARY}")
get_filename_component(ONNX_RUNTIME_LIBRARY_DIRS ${ONNX_RUNTIME_LIBRARY} DIRECTORY)
set(ONNX_RUNTIME_LIBRARY_DIRS "${ONNX_RUNTIME_LIBRARY_DIRS}" CACHE STRING "ONNX Runtime library directory")
message(STATUS "Found ONNX Runtime library dir: ${ONNX_RUNTIME_LIBRARY_DIRS}")
if (ONNX_RUNTIME_CUDA_LIBRARY)
set(ONNX_RUNTIME_WITH_CUDA_PROVIDER TRUE CACHE BOOL "ONNX Runtime with CUDA provider")
set(ONNX_RUNTIME_LIBRARIES ${ONNX_RUNTIME_LIBRARY} ${ONNX_RUNTIME_CUDA_LIBRARY} CACHE STRING "ONNX Runtime libraries")
else ()
set(ONNX_RUNTIME_LIBRARIES ${ONNX_RUNTIME_LIBRARY} CACHE STRING "ONNX Runtime libraries")
endif ()
endif ()
include(FindPackageHandleStandardArgs)
if (ONNX_RUNTIME_WITH_CUDA_PROVIDER)
find_package_handle_standard_args(ONNXRuntime DEFAULT_MSG ONNX_RUNTIME_INCLUDE_DIRS ONNX_RUNTIME_LIBRARY_DIRS ONNX_RUNTIME_LIBRARIES ONNX_RUNTIME_LIBRARY ONNX_RUNTIME_CUDA_LIBRARY)
mark_as_advanced(ONNX_RUNTIME_INCLUDE_DIRS ONNX_RUNTIME_LIBRARY_DIRS ONNX_RUNTIME_LIBRARIES ONNX_RUNTIME_LIBRARY ONNX_RUNTIME_CUDA_LIBRARY)
else ()
find_package_handle_standard_args(ONNXRuntime DEFAULT_MSG ONNX_RUNTIME_INCLUDE_DIRS ONNX_RUNTIME_LIBRARY_DIRS ONNX_RUNTIME_LIBRARIES ONNX_RUNTIME_LIBRARY)
mark_as_advanced(ONNX_RUNTIME_INCLUDE_DIRS ONNX_RUNTIME_LIBRARY_DIRS ONNX_RUNTIME_LIBRARIES ONNX_RUNTIME_LIBRARY)
endif ()
================================================
FILE: deploy/build-docker/README.md
================================================
# Docker Build
## x64 with CUDA
- [ONNX Runtime Binary](https://github.com/microsoft/onnxruntime/releases) v1.26.0(latest) supports CUDA 12/13, cuDNN 9.
- Two CUDA variants are available:
- `linux-cuda13`: Built on `nvidia/cuda:13.1.1-cudnn-devel-ubuntu24.04`, runtime based on `nvidia/cuda:13.1.1-cudnn-runtime-ubuntu24.04`
- `linux-cuda12`: Built on `nvidia/cuda:12.9.1-cudnn-devel-ubuntu24.04`, runtime based on `nvidia/cuda:12.9.1-cudnn-runtime-ubuntu24.04`
- Multi-stage build is used to keep the final image small (devel for building, runtime for the final image).
- **We need to check this for each release of the ONNX Runtime binary.**
================================================
FILE: deploy/build-docker/VERSION
================================================
export VERSION=1.26.0
export IMAGE_PREFIX=kibaes/onnxruntime-server
================================================
FILE: deploy/build-docker/build.sh
================================================
#!/usr/bin/env bash
cd "$(dirname "$0")" || exit
source ./VERSION
cd ../../
if [ "$1" != "--target=cuda" ]; then
# ______ .______ __ __
# / || _ \ | | | |
# | ,----'| |_) | | | | |
# | | | ___/ | | | |
# | `----.| | | `--' |
# \______|| _| \______/
POSTFIX=linux-cpu
IMAGE_NAME=${IMAGE_PREFIX}:${VERSION}-${POSTFIX}
docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --load . || exit 1
./deploy/build-docker/docker-image-test.sh ${IMAGE_NAME} || exit 1
docker buildx build --platform linux/amd64,linux/arm64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --push . || exit 1
fi
if [ "$1" != "--target=cpu" ]; then
# ______ __ __ _______ ___ ___ ___ __ _ _
# / || | | | | \ / \ \ \ / / / / | || |
# | ,----'| | | | | .--. | / ^ \ _____\ V / / /_ | || |_
# | | | | | | | | | | / /_\ \ |______> < | '_ \ |__ _|
# | `----.| `--' | | '--' | / _____ \ / . \ | (_) | | |
# \______| \______/ |_______/ /__/ \__\ /__/ \__\ \___/ |_|
# POSTFIX=linux-cuda11
# IMAGE_NAME=${IMAGE_PREFIX}:${VERSION}-${POSTFIX}
#
# docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --load . || exit 1
# ./deploy/build-docker/docker-image-test.sh ${IMAGE_NAME} 1 || exit 1
# docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --push . || exit 1
POSTFIX=linux-cuda12
IMAGE_NAME=${IMAGE_PREFIX}:${VERSION}-${POSTFIX}
docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --load . || exit 1
./deploy/build-docker/docker-image-test.sh ${IMAGE_NAME} 1 || exit 1
docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --push . || exit 1
POSTFIX=linux-cuda13
IMAGE_NAME=${IMAGE_PREFIX}:${VERSION}-${POSTFIX}
docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --load . || exit 1
./deploy/build-docker/docker-image-test.sh ${IMAGE_NAME} 1 || exit 1
docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --push . || exit 1
fi
================================================
FILE: deploy/build-docker/docker-compose.yaml
================================================
services:
# Available environment variables can be found at
# https://github.com/kibae/onnxruntime-server#run-the-server
onnxruntime_server_simple:
# After the docker container is up, you can use the REST API (http://localhost:8080).
# API documentation will be available at http://localhost:8080/api-docs.
image: kibaes/onnxruntime-server:1.26.0-linux-cuda13 # or 1.26.0-linux-cuda12
ports:
- "8080:80" # for http backend
volumes:
# for model files
# https://github.com/kibae/onnxruntime-server#run-the-server
- /your_model_dir:/app/models
# for log files
- /your_log_dir:/app/logs
environment:
# for swagger(optional)
- ONNX_SERVER_SWAGGER_URL_PATH=/api-docs
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [ gpu ]
onnxruntime_server_advanced:
# After the docker container is up, you can use the REST API (http://localhost, https://localhost).
# API documentation will be available at http://localhost/api-docs.
image: kibaes/onnxruntime-server:1.26.0-linux-cuda13 # or 1.26.0-linux-cuda12
ports:
- "80:80" # for http backend
- "443:443" # for https backend
- "8001:8001" # for tcp backend. binary protocol
volumes:
# for model files
# https://github.com/kibae/onnxruntime-server#run-the-server
- /your_model_dir:/app/models
# for log files
- /your_log_dir:/app/logs
# for cert files
- /your_cert_dir:/app/certs
environment:
# for https backend
- ONNX_SERVER_HTTPS_PORT=443
# https backend needs cert, key files
- ONNX_SERVER_HTTPS_CERT=/app/certs/cert.pem
- ONNX_SERVER_HTTPS_KEY=/app/certs/key.pem
# for onnx session preparation
- ONNX_SERVER_PREPARE_MODEL="model1:v1(cuda=true) model1:v2(cuda=0) model2:v2"
# for swagger(optional)
- ONNX_SERVER_SWAGGER_URL_PATH=/api-docs
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [ gpu ]
================================================
FILE: deploy/build-docker/docker-image-test.sh
================================================
#!/usr/bin/env bash
cd "$(dirname "$0")" || exit
source ./VERSION
IMAGE_NAME=$1
IS_CUDA=$2
echo
echo '.___________. _______ _______.___________.'
echo '| || ____| / | |'
echo '`---| |----`| |__ | (----`---| |----`'
echo ' | | | __| \ \ | |'
echo ' | | | |____.----) | | |'
echo ' |__| |_______|_______/ |__|'
echo
echo ${IMAGE_NAME}
echo
echo
docker stop docker_test || true
docker rm docker_test || true
docker run --name docker_test -d -p 8080:80 --gpus all -e "ONNX_SERVER_SWAGGER_URL_PATH=/api-docs" ${IMAGE_NAME} || exit 1
sleep 1;
docker cp ../../test/fixture/sample docker_test:/app/models/ || exit 1
API_VERSION_RESULT=$(curl -s \
'http://localhost:8080/api/version' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' || exit 1)
if [ "${API_VERSION_RESULT}" != "${VERSION}" ]; then
echo "API version mismatch. Expected: ${VERSION}, Got: ${API_VERSION_RESULT}"
exit 1
fi
echo "ONNX Server Version: ${VERSION}"
if [[ -v ${IS_CUDA} ]]; then
curl -sX 'POST' \
'http://localhost:8080/api/sessions' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{"model": "sample", "version": "2", "option":{"cuda": true}}' | jq || exit 1
DEVICE_ID=$(curl -sX 'GET' \
'http://localhost:8080/api/sessions/sample/2' \
-H 'accept: application/json' | jq '.option.cuda.device_id' || exit 1)
if [ "${DEVICE_ID}" != "0" ]; then
echo "CUDA is not available"
exit 1
fi
else
curl -sX 'POST' \
'http://localhost:8080/api/sessions' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{"model": "sample", "version": "2"}' | jq || exit 1
ERROR=$(curl -sX 'GET' \
'http://localhost:8080/api/sessions/sample/2' \
-H 'accept: application/json' | jq '.error' || exit 1)
if [ "${ERROR}" != "null" ]; then
echo ${ERROR}
exit 1
fi
fi
curl -sX 'POST' \
'http://localhost:8080/api/sessions/sample/2' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"input_ids": [
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],
[
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[
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],
"onnx::Equal_1": [
[
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]
]
}
' | jq || exit 1
curl -sX 'GET' \
'http://localhost:8080/api/sessions' \
-H 'accept: application/json' | jq || exit 1
echo
echo '.______ ___ _______. _______.'
echo '| _ \ / \ / | / |'
echo '| |_) | / ^ \ | (----` | (----`'
echo '| ___/ / /_\ \ \ \ \ \ '
echo '| | / _____ \ .----) | .----) | '
echo '| _| /__/ \__\ |_______/ |_______/ '
echo
docker rm docker_test -f || true
================================================
FILE: deploy/build-docker/download-onnxruntime.sh
================================================
#!/usr/bin/env bash
cd "$(dirname "$0")" || exit
OS=$1
ARCH=$2
echo
echo "Select onnxruntime version to download:"
RAW_LIST=$(curl -s -H "Accept: application/vnd.github+json" \
-H "X-GitHub-Api-Version: 2022-11-28" \
https://api.github.com/repos/microsoft/onnxruntime/releases/latest \
| grep browser_download_url \
| grep -E "onnxruntime-${OS}-${ARCH}-([.0-9]+)tgz" \
| awk '{print $2}' \
| tr -d '"' \
| head -n 1)
item=${RAW_LIST[0]}
FILENAME=$(basename "$item")
echo
echo "Downloading $item"
echo
wget -q "$item"
mkdir -p /usr/local/onnxruntime
tar vzxf "$FILENAME" -C /usr/local/onnxruntime --strip-components=1
sh -c 'echo "/usr/local/onnxruntime/lib" > /etc/ld.so.conf.d/onnxruntime.conf'
ldconfig
rm -f "$FILENAME"
echo
echo "Done"
echo
================================================
FILE: deploy/build-docker/linux-cpu.dockerfile
================================================
FROM ubuntu:24.04 AS builder
RUN apt update && apt install -y curl wget git build-essential cmake pkg-config libboost-all-dev libssl-dev
RUN mkdir -p /app/source
WORKDIR /app/source
COPY src /app/source/onnxruntime-server
COPY cmake /app/source/onnxruntime-server/cmake
COPY deploy/build-docker/download-onnxruntime.sh /app/source/onnxruntime-server/
WORKDIR /app/source/onnxruntime-server
ARG TARGETPLATFORM
RUN case ${TARGETPLATFORM} in \
"linux/amd64") ./download-onnxruntime.sh linux x64 ;; \
"linux/arm64") ./download-onnxruntime.sh linux aarch64 ;; \
esac
RUN cmake -DBoost_USE_STATIC_LIBS=ON -DOPENSSL_USE_STATIC_LIBS=ON -B build -S . -DCMAKE_BUILD_TYPE=Release
RUN cmake --build build --parallel 8 --target onnxruntime_server_standalone
RUN cmake --install build --prefix /app/onnxruntime-server
# target
FROM ubuntu:24.04 AS target
COPY --from=builder /app/onnxruntime-server /app
COPY --from=builder /usr/local/onnxruntime /usr/local/onnxruntime
WORKDIR /app
RUN mkdir -p models logs certs
ENV ONNX_SERVER_CONFIG_PRIORITY=env
ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/onnxruntime/lib
ENTRYPOINT ["/app/bin/onnxruntime_server", "--model-dir", "models", "--log-file", "logs/app.log", "--access-log-file", "logs/access.log", "--tcp-port", "6432", "--http-port", "80"]
================================================
FILE: deploy/build-docker/linux-cuda12.dockerfile
================================================
FROM nvidia/cuda:12.9.1-cudnn-devel-ubuntu24.04 AS builder
RUN apt update && apt install -y curl wget git build-essential cmake pkg-config libboost-all-dev libssl-dev
RUN mkdir -p /app/source
WORKDIR /app/source
COPY src /app/source/onnxruntime-server
COPY cmake /app/source/onnxruntime-server/cmake
COPY deploy/build-docker/download-onnxruntime.sh /app/source/onnxruntime-server/
WORKDIR /app/source/onnxruntime-server
ARG TARGETPLATFORM
RUN case ${TARGETPLATFORM} in \
"linux/amd64") ./download-onnxruntime.sh linux x64-gpu ;; \
esac
RUN cmake -DCUDA_SDK_ROOT_DIR=/usr/local/cuda-12 -DBoost_USE_STATIC_LIBS=ON -DOPENSSL_USE_STATIC_LIBS=ON -B build -S . -DCMAKE_BUILD_TYPE=Release
RUN cmake --build build --parallel 8 --target onnxruntime_server_standalone
RUN cmake --install build --prefix /app/onnxruntime-server
# target
FROM nvidia/cuda:12.9.1-cudnn-runtime-ubuntu24.04 AS target
COPY --from=builder /app/onnxruntime-server /app
COPY --from=builder /usr/local/onnxruntime /usr/local/onnxruntime
WORKDIR /app
RUN mkdir -p models logs certs
ENV ONNX_SERVER_CONFIG_PRIORITY=env
ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12/lib64:/usr/local/onnxruntime/lib
ENTRYPOINT ["/app/bin/onnxruntime_server", "--model-dir", "models", "--log-file", "logs/app.log", "--access-log-file", "logs/access.log", "--tcp-port", "6432", "--http-port", "80"]
================================================
FILE: deploy/build-docker/linux-cuda13.dockerfile
================================================
FROM nvidia/cuda:13.1.1-cudnn-devel-ubuntu24.04 AS builder
RUN apt update && apt install -y curl wget git build-essential cmake pkg-config libboost-all-dev libssl-dev
RUN mkdir -p /app/source
WORKDIR /app/source
COPY src /app/source/onnxruntime-server
COPY cmake /app/source/onnxruntime-server/cmake
COPY deploy/build-docker/download-onnxruntime.sh /app/source/onnxruntime-server/
WORKDIR /app/source/onnxruntime-server
ARG TARGETPLATFORM
RUN case ${TARGETPLATFORM} in \
"linux/amd64") ./download-onnxruntime.sh linux x64-gpu_cuda13 ;; \
esac
RUN cmake -DCUDA_SDK_ROOT_DIR=/usr/local/cuda-13 -DBoost_USE_STATIC_LIBS=ON -DOPENSSL_USE_STATIC_LIBS=ON -B build -S . -DCMAKE_BUILD_TYPE=Release
RUN cmake --build build --parallel 8 --target onnxruntime_server_standalone
RUN cmake --install build --prefix /app/onnxruntime-server
# target
FROM nvidia/cuda:13.1.1-cudnn-runtime-ubuntu24.04 AS target
COPY --from=builder /app/onnxruntime-server /app
COPY --from=builder /usr/local/onnxruntime /usr/local/onnxruntime
WORKDIR /app
RUN mkdir -p models logs certs
ENV ONNX_SERVER_CONFIG_PRIORITY=env
ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-13/lib64:/usr/local/onnxruntime/lib
ENTRYPOINT ["/app/bin/onnxruntime_server", "--model-dir", "models", "--log-file", "logs/app.log", "--access-log-file", "logs/access.log", "--tcp-port", "6432", "--http-port", "80"]
================================================
FILE: deploy/update-version.sh
================================================
#!/usr/bin/env bash
cd "$(dirname "$0")/.." || exit
FROM_VERSION=$1
TO_VERSION=$2
if [ -z "$FROM_VERSION" ] || [ -z "$TO_VERSION" ]; then
echo "Usage: $0 "
exit 1
fi
FILES=(
"README.md"
"docs/docker.md"
"docs/swagger/openapi.yaml"
"deploy/build-docker/VERSION"
"deploy/build-docker/docker-compose.yaml"
"deploy/build-docker/README.md"
"src/test/test_lib_version.cpp"
)
pwd
for file in "${FILES[@]}"
do
echo "Updating $file"
sed -i "s/${FROM_VERSION}/${TO_VERSION}/g" "$file"
done
echo "Done"
echo
echo "Update docker hub page"
echo "https://hub.docker.com/repository/docker/kibaes/onnxruntime-server/general"
================================================
FILE: docs/docker.md
================================================
# ONNX Runtime Server
- **The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.**
- https://github.com/kibae/onnxruntime-server
# Supported tags and respective Dockerfile links
- [`1.26.0-linux-cuda13`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda13.dockerfile) amd64(CUDA 13.x, cuDNN 9.x)
- [`1.26.0-linux-cuda12`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda12.dockerfile) amd64(CUDA 12.x, cuDNN 9.x)
- [`1.26.0-linux-cpu`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cpu.dockerfile) amd64, arm64
# How to use this image
- onnxruntime-server supports hardware acceleration with CUDA. To use the `--gpus all` option when running `docker run`,
the `nvidia-container-toolkit` package must be installed on the host OS.
```shell
sudo apt install nvidia-container-toolkit
```
- This example assumes that your onnx files are located in the `/your_model_dir` directory on the host OS.
See [this document](https://github.com/kibae/onnxruntime-server#run-the-server) for paths and
naming conventions for onnx files
- `${model_dir}/${model_name}/${model_version}/model.onnx`
- Available environment variables can be found at
- https://github.com/kibae/onnxruntime-server#run-the-server
## General usage
- After the docker container is up, you can use the REST API (http://localhost or https://localhost).
- API documentation will be available at http://localhost/api-docs.
```shell
DOCKER_IMAGE=kibaes/onnxruntime-server:1.26.0-linux-cuda13 # or 1.26.0-linux-cuda12 or 1.26.0-linux-cpu
docker pull ${DOCKER_IMAGE}
# simple http backend
docker run --name onnxruntime_server_container -d --rm --gpus all \
-p 80:80 \
-v "/your_model_dir:/app/models" \
-v "/your_log_dir:/app/logs" \
-e "ONNX_SERVER_SWAGGER_URL_PATH=/api-docs" \
${DOCKER_IMAGE}
# with https backend. cert, key files must be located in the /your_cert_dir directory on the host OS.
docker run --name onnxruntime_server_container -d --rm --gpus all \
-p 80:80 \
-p 443:443 \
-v "/your_model_dir:/app/models" \
-v "/your_log_dir:/app/logs" \
-v "/your_cert_dir:/app/certs" \
-e "ONNX_SERVER_SWAGGER_URL_PATH=/api-docs" \
-e "ONNX_SERVER_HTTPS_PORT=443" \
-e "ONNX_SERVER_HTTPS_CERT=/app/certs/cert.pem" \
-e "ONNX_SERVER_HTTPS_KEY=/app/certs/key.pem" \
${DOCKER_IMAGE}
```
## Using docker-compose
- [docker-compose.yml](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/docker-compose.yaml)
example is available in the repository.
### Simple one for HTTP backend
```yaml
services:
# Available environment variables can be found at
# https://github.com/kibae/onnxruntime-server#run-the-server
onnxruntime_server_simple:
# After the docker container is up, you can use the REST API (http://localhost:8080).
# API documentation will be available at http://localhost:8080/api-docs.
image: kibaes/onnxruntime-server:1.26.0-linux-cuda13 # or 1.26.0-linux-cuda12
ports:
- "8080:80" # for http backend
volumes:
# for model files
# https://github.com/kibae/onnxruntime-server#run-the-server
- /your_model_dir:/app/models
# for log files
- /your_log_dir:/app/logs
environment:
# for swagger(optional)
- ONNX_SERVER_SWAGGER_URL_PATH=/api-docs
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [ gpu ]
```
### Advanced usage for HTTPS backend
```yaml
services:
# Available environment variables can be found at
# https://github.com/kibae/onnxruntime-server#run-the-server
onnxruntime_server_advanced:
# After the docker container is up, you can use the REST API (http://localhost, https://localhost).
# API documentation wl be available at http://localhost/api-docs.
image: kibaes/onnxruntime-server:1.26.0-linux-cuda13 # or 1.26.0-linux-cuda12
ports:
- "80:80" # for http backend
- "443:443" # for https backend
- "8001:8001" # for tcp backend. binary protocol
volumes:
# for model files
# https://github.com/kibae/onnxruntime-server#run-the-server
- /your_model_dir:/app/models
# for log files
- /your_log_dir:/app/logs
# for cert files
- /your_cert_dir:/app/certs
environment:
# for https backend
- ONNX_SERVER_HTTPS_PORT=443
# https backend needs cert, key files
- ONNX_SERVER_HTTPS_CERT=/app/certs/cert.pem
- ONNX_SERVER_HTTPS_KEY=/app/certs/key.pem
# for onnx session preparation
- ONNX_SERVER_PREPARE_MODEL="model1:v1(cuda=true) model1:v2(cuda=0) model2:v2"
# for swagger(optional)
- ONNX_SERVER_SWAGGER_URL_PATH=/api-docs
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [ gpu ]
```
================================================
FILE: docs/swagger/index.css
================================================
html {
box-sizing: border-box;
overflow: -moz-scrollbars-vertical;
overflow-y: scroll;
}
*,
*:before,
*:after {
box-sizing: inherit;
}
body {
margin: 0;
background: #fafafa;
}
================================================
FILE: docs/swagger/index.html
================================================
Swagger UI
================================================
FILE: docs/swagger/openapi.yaml
================================================
openapi: 3.0.3
info:
title: ONNX Runtime Server
description: |-
version: 1.26.0
externalDocs:
description: ONNX Runtime Server
url: https://github.com/kibae/onnxruntime-server
tags:
- name: ONNX Runtime Session
paths:
/api/sessions:
get:
tags:
- ONNX Runtime Session
summary: List sessions
description: List all sessions
operationId: listSessions
responses:
'200':
description: OK
content:
application/json:
schema:
type: array
items:
$ref: '#/components/schemas/ONNXSession'
post:
tags:
- ONNX Runtime Session
summary: Create sessions
description: Create a new session
operationId: createSession
requestBody:
required: true
description: option, option.input_shape, option.output_shape are optional
content:
application/json(simple, wo/option):
schema:
$ref: '#/components/schemas/ONNXSessionCreateRequestSimple'
application/json(w/option):
schema:
$ref: '#/components/schemas/ONNXSessionCreateRequest'
responses:
'200':
description: OK
content:
application/json:
schema:
type: array
items:
$ref: '#/components/schemas/ONNXSession'
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXBadRequestError'
'404':
description: Not Found
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXNotFoundError'
'409':
description: Conflict
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXConflictError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXRuntimeError'
/api/sessions/{model}/{version}:
get:
tags:
- ONNX Runtime Session
summary: Get session
description: Get a session
operationId: getSession
parameters:
- name: model
in: path
description: Model name
required: true
schema:
type: string
- name: version
in: path
description: Model version
required: true
schema:
type: string
responses:
'200':
description: OK
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXSession'
'404':
description: Not Found
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXNotFoundError'
post:
tags:
- ONNX Runtime Session
summary: Execute session
description: Execute a session
operationId: executeSession
parameters:
- name: model
in: path
description: Model name
required: true
schema:
type: string
- name: version
in: path
description: Model version
required: true
schema:
type: string
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXSessionExecuteRequest'
responses:
'200':
description: OK
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXSessionExecuteResponse'
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXBadRequestError'
'404':
description: Not Found
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXNotFoundError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXRuntimeError'
delete:
tags:
- ONNX Runtime Session
summary: Destroy session
description: Destroy a session
operationId: destroySession
parameters:
- name: model
in: path
description: Model name
required: true
schema:
type: string
- name: version
in: path
description: Model version
required: true
schema:
type: string
responses:
'200':
description: OK
content:
application/json:
schema:
type: boolean
'404':
description: Not Found
content:
application/json:
schema:
$ref: '#/components/schemas/ONNXNotFoundError'
/api/version:
get:
tags:
- ONNX Runtime
summary: ONNX Runtime version
description: Get ONNX Runtime version
operationId: getONNXRuntimeVersion
responses:
'200':
description: OK
content:
plain/text:
schema:
type: string
example: 1.0.0
/health:
get:
tags:
- Default
summary: Health check
description: Health check
operationId: healthCheck
responses:
'200':
description: OK
content:
plain/text:
schema:
type: string
example: OK
components:
schemas:
ONNXSession:
type: object
properties:
model:
type: string
description: Model name
nullable: false
version:
type: string
description: Model version
nullable: false
created_at:
type: number
description: Timestamp when the session was created
nullable: false
last_executed_at:
type: number
description: Timestamp when the session was last executed
nullable: false
execution_count:
type: integer
description: Number of executions
nullable: false
inputs:
type: object
description: Input types
nullable: false
example: {
"x": "float32[-1,1]",
"y": "float32[-1,1]",
"z": "float32[-1,1]"
}
outputs:
type: object
description: Output types
nullable: false
example: {
"output": "float32[-1,1]"
}
option:
$ref: '#/components/schemas/ONNXSessionOption'
ONNXSessionOption:
type: object
description: |
Normalized echo of the options applied to the session. The server only includes
keys whose corresponding ORT calls succeeded; values reflect what ORT actually
stored (read back via GetCUDAProviderOptionsAsString and GetSessionConfigEntry
where applicable).
nullable: true
properties:
cuda:
nullable: true
required: false
oneOf:
- type: boolean
description: CUDA disabled (false) — present for backward compatibility.
- $ref: '#/components/schemas/ONNXSessionOptionCUDA'
extensions:
type: array
description: Registered onnxruntime-extensions library paths in registration order, deduplicated.
required: false
items:
type: string
example:
- /absolute/path/to/libonnxruntime_extensions.so
session_options:
$ref: '#/components/schemas/ONNXSessionOptionsGroup'
ONNXSessionOptionRequest:
type: object
nullable: true
properties:
cuda:
nullable: false
required: false
oneOf:
- type: boolean
description: Enable CUDA with all defaults (device_id=0).
- type: integer
description: Enable CUDA on the given device_id.
- $ref: '#/components/schemas/ONNXSessionOptionCUDA'
input_shape:
type: object
description: Input shape overrides keyed by input name.
nullable: false
required: false
example: {
"x": [ 1, 1 ],
"y": [ 1, 1 ],
"z": [ 1, 1 ]
}
output_shape:
type: object
description: Output shape overrides keyed by output name.
nullable: false
required: false
example: {
"output": [ 1, 1 ]
}
extensions:
type: array
description: |
One or more absolute paths to onnxruntime-extensions custom-ops libraries.
Each path is registered with ORT in array order; duplicate paths are deduplicated.
nullable: false
required: false
items:
type: string
example:
- /absolute/path/to/libonnxruntime_extensions.so
ortextensions_path:
type: string
description: |
Deprecated alias for `extensions`. A single library path. The server normalizes
it into the `extensions` array on input and the response always echoes the
normalized form.
deprecated: true
nullable: false
required: false
example: /absolute/path/to/libonnxruntime_extensions.so
session_options:
$ref: '#/components/schemas/ONNXSessionOptionsGroup'
ONNXSessionOptionCUDA:
type: object
description: |
CUDA Execution Provider V2 options. The server forwards every supplied key to
UpdateCUDAProviderOptions in a single batched call; if ORT rejects any key the
whole session creation fails with the ORT error message. The response is built
from GetCUDAProviderOptionsAsString readback, so it shows exactly what ORT
stored (which may differ from the requested value if ORT normalized it).
properties:
device_id:
type: integer
description: CUDA device ID
nullable: false
gpu_mem_limit:
type: integer
description: Per-session GPU memory limit, in bytes.
nullable: false
arena_extend_strategy:
type: string
description: Arena extension strategy, e.g. "kNextPowerOfTwo" or "kSameAsRequested".
nullable: false
cudnn_conv_algo_search:
type: string
description: cuDNN convolution algorithm search policy. Accepted values are ORT-defined enum names.
nullable: false
cudnn_conv_use_max_workspace:
type: boolean
nullable: false
do_copy_in_default_stream:
type: boolean
nullable: false
enable_cuda_graph:
type: boolean
description: Capture and replay a CUDA graph (requires static input shapes).
nullable: false
tunable_op_enable:
type: boolean
nullable: false
tunable_op_tuning_enable:
type: boolean
nullable: false
cudnn_conv1d_pad_to_nc1d:
type: boolean
nullable: false
additionalProperties:
description: |
Any additional CUDA Execution Provider V2 key understood by your ORT build is
forwarded as-is. Refer to the ORT CUDA EP documentation for the full list of
accepted keys.
ONNXSessionOptionsGroup:
type: object
description: |
Session-level options forwarded to onnxruntime SessionOptions. The server only
validates JSON shape (types and our enum-string mapping); ORT decides whether the
value itself is acceptable. Keys whose ORT setter throws are silently dropped from
the echoed response. The `config_entries` object is round-tripped through
GetSessionConfigEntry so the echo shows what ORT actually stored (always strings).
nullable: false
required: false
properties:
intra_op_num_threads:
type: integer
description: Number of threads used for parallelizing operators. 0 means ORT default.
nullable: false
inter_op_num_threads:
type: integer
description: Number of threads used for parallelizing the graph. 0 means ORT default.
nullable: false
execution_mode:
type: string
enum: [sequential, parallel]
nullable: false
graph_optimization_level:
type: string
enum: [disable, basic, extended, all]
nullable: false
enable_cpu_mem_arena:
type: boolean
nullable: false
enable_mem_pattern:
type: boolean
nullable: false
log_severity_level:
type: integer
description: ORT log severity level (0=verbose ... 4=fatal).
nullable: false
logid:
type: string
nullable: false
enable_profiling:
type: boolean
description: Enable profiling. When true, profile_file_prefix must also be supplied.
nullable: false
profile_file_prefix:
type: string
nullable: false
optimized_model_filepath:
type: string
description: Filepath where ORT writes the optimized model after graph transformations.
nullable: false
free_dimension_overrides:
type: object
description: Map of free dimension name to a fixed integer size.
additionalProperties:
type: integer
nullable: false
example:
batch: 1
config_entries:
type: object
description: |
Generic passthrough to AddSessionConfigEntry (e.g. "session.disable_prepacking").
Booleans and integers are stringified before being passed to ORT; values in the
response are always strings (round-tripped through GetSessionConfigEntry).
additionalProperties:
oneOf:
- type: string
- type: boolean
- type: integer
nullable: false
example:
session.disable_prepacking: "1"
ONNXSessionCreateRequest:
type: object
properties:
model:
type: string
description: Model name
required: true
nullable: false
version:
type: string
description: Model version
required: true
nullable: false
option:
required: false
nullable: true
$ref: '#/components/schemas/ONNXSessionOptionRequest'
ONNXSessionCreateRequestSimple:
type: object
example: {
"model": "string",
"version": "string"
}
properties:
model:
type: string
description: Model name
required: true
nullable: false
version:
type: string
description: Model version
required: true
nullable: false
option:
required: false
nullable: true
$ref: '#/components/schemas/ONNXSessionOptionRequest'
ONNXSessionExecuteRequest:
type: object
example: {
"x": [ [ 1 ], [ 2 ], [ 3 ] ],
"y": [ [ 2 ], [ 3 ], [ 4 ] ],
"z": [ [ 3 ], [ 4 ], [ 5 ] ]
}
properties:
input_name1:
type: array
description: Input data
items:
oneOf:
- type: number
- type: string
input_name2:
type: array
description: Input data
items:
oneOf:
- type: number
- type: string
ONNXSessionExecuteResponse:
type: object
example: {
"output": [ [ 0.6492120623588562 ], [ 0.7610487341880798 ], [ 0.8728854656219482 ] ]
}
properties:
output_name1:
type: array
description: Output data
items:
oneOf:
- type: number
- type: string
output_name2:
type: array
description: Output data
items:
oneOf:
- type: number
- type: string
ONNXError:
type: object
properties:
error_type:
type: string
description: Error type
nullable: false
enum:
- runtime_error
- bad_request_error
- not_found_error
- conflict_error
error:
type: string
description: Error message
nullable: false
ONNXBadRequestError:
allOf:
- $ref: '#/components/schemas/ONNXError'
properties:
error_type:
type: string
example: bad_request_error
ONNXNotFoundError:
allOf:
- $ref: '#/components/schemas/ONNXError'
properties:
error_type:
type: string
example: not_found_error
ONNXConflictError:
allOf:
- $ref: '#/components/schemas/ONNXError'
properties:
error_type:
type: string
example: conflict_error
ONNXRuntimeError:
allOf:
- $ref: '#/components/schemas/ONNXError'
properties:
error_type:
type: string
example: runtime_error
================================================
FILE: docs/swagger/swagger-ui-bundle.js
================================================
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j=Number(s>>BigInt(32)&BigInt(4294967295));return i[u+3]=j,j>>=8,i[u+2]=j,j>>=8,i[u+1]=j,j>>=8,i[u]=j,u+8}function checkIEEE754(i,s,u,m,v,_){if(u+m>i.length)throw new RangeError("Index out of range");if(u<0)throw new RangeError("Index out of range")}function writeFloat(i,s,u,m,_){return s=+s,u>>>=0,_||checkIEEE754(i,0,u,4),v.write(i,s,u,m,23,4),u+4}function writeDouble(i,s,u,m,_){return s=+s,u>>>=0,_||checkIEEE754(i,0,u,8),v.write(i,s,u,m,52,8),u+8}Buffer.prototype.slice=function slice(i,s){const u=this.length;(i=~~i)<0?(i+=u)<0&&(i=0):i>u&&(i=u),(s=void 0===s?u:~~s)<0?(s+=u)<0&&(s=0):s>u&&(s=u),s>>=0,s>>>=0,u||checkOffset(i,s,this.length);let m=this[i],v=1,_=0;for(;++_>>=0,s>>>=0,u||checkOffset(i,s,this.length);let m=this[i+--s],v=1;for(;s>0&&(v*=256);)m+=this[i+--s]*v;return m},Buffer.prototype.readUint8=Buffer.prototype.readUInt8=function readUInt8(i,s){return i>>>=0,s||checkOffset(i,1,this.length),this[i]},Buffer.prototype.readUint16LE=Buffer.prototype.readUInt16LE=function readUInt16LE(i,s){return i>>>=0,s||checkOffset(i,2,this.length),this[i]|this[i+1]<<8},Buffer.prototype.readUint16BE=Buffer.prototype.readUInt16BE=function readUInt16BE(i,s){return i>>>=0,s||checkOffset(i,2,this.length),this[i]<<8|this[i+1]},Buffer.prototype.readUint32LE=Buffer.prototype.readUInt32LE=function readUInt32LE(i,s){return i>>>=0,s||checkOffset(i,4,this.length),(this[i]|this[i+1]<<8|this[i+2]<<16)+16777216*this[i+3]},Buffer.prototype.readUint32BE=Buffer.prototype.readUInt32BE=function readUInt32BE(i,s){return i>>>=0,s||checkOffset(i,4,this.length),16777216*this[i]+(this[i+1]<<16|this[i+2]<<8|this[i+3])},Buffer.prototype.readBigUInt64LE=defineBigIntMethod((function readBigUInt64LE(i){validateNumber(i>>>=0,"offset");const s=this[i],u=this[i+7];void 0!==s&&void 0!==u||boundsError(i,this.length-8);const m=s+256*this[++i]+65536*this[++i]+this[++i]*2**24,v=this[++i]+256*this[++i]+65536*this[++i]+u*2**24;return BigInt(m)+(BigInt(v)<>>=0,"offset");const s=this[i],u=this[i+7];void 0!==s&&void 0!==u||boundsError(i,this.length-8);const m=s*2**24+65536*this[++i]+256*this[++i]+this[++i],v=this[++i]*2**24+65536*this[++i]+256*this[++i]+u;return(BigInt(m)<>>=0,s>>>=0,u||checkOffset(i,s,this.length);let m=this[i],v=1,_=0;for(;++_=v&&(m-=Math.pow(2,8*s)),m},Buffer.prototype.readIntBE=function readIntBE(i,s,u){i>>>=0,s>>>=0,u||checkOffset(i,s,this.length);let m=s,v=1,_=this[i+--m];for(;m>0&&(v*=256);)_+=this[i+--m]*v;return v*=128,_>=v&&(_-=Math.pow(2,8*s)),_},Buffer.prototype.readInt8=function readInt8(i,s){return i>>>=0,s||checkOffset(i,1,this.length),128&this[i]?-1*(255-this[i]+1):this[i]},Buffer.prototype.readInt16LE=function readInt16LE(i,s){i>>>=0,s||checkOffset(i,2,this.length);const u=this[i]|this[i+1]<<8;return 32768&u?4294901760|u:u},Buffer.prototype.readInt16BE=function readInt16BE(i,s){i>>>=0,s||checkOffset(i,2,this.length);const u=this[i+1]|this[i]<<8;return 32768&u?4294901760|u:u},Buffer.prototype.readInt32LE=function readInt32LE(i,s){return i>>>=0,s||checkOffset(i,4,this.length),this[i]|this[i+1]<<8|this[i+2]<<16|this[i+3]<<24},Buffer.prototype.readInt32BE=function readInt32BE(i,s){return i>>>=0,s||checkOffset(i,4,this.length),this[i]<<24|this[i+1]<<16|this[i+2]<<8|this[i+3]},Buffer.prototype.readBigInt64LE=defineBigIntMethod((function readBigInt64LE(i){validateNumber(i>>>=0,"offset");const s=this[i],u=this[i+7];void 0!==s&&void 0!==u||boundsError(i,this.length-8);const m=this[i+4]+256*this[i+5]+65536*this[i+6]+(u<<24);return(BigInt(m)<>>=0,"offset");const s=this[i],u=this[i+7];void 0!==s&&void 0!==u||boundsError(i,this.length-8);const m=(s<<24)+65536*this[++i]+256*this[++i]+this[++i];return(BigInt(m)<>>=0,s||checkOffset(i,4,this.length),v.read(this,i,!0,23,4)},Buffer.prototype.readFloatBE=function readFloatBE(i,s){return i>>>=0,s||checkOffset(i,4,this.length),v.read(this,i,!1,23,4)},Buffer.prototype.readDoubleLE=function readDoubleLE(i,s){return i>>>=0,s||checkOffset(i,8,this.length),v.read(this,i,!0,52,8)},Buffer.prototype.readDoubleBE=function readDoubleBE(i,s){return i>>>=0,s||checkOffset(i,8,this.length),v.read(this,i,!1,52,8)},Buffer.prototype.writeUintLE=Buffer.prototype.writeUIntLE=function writeUIntLE(i,s,u,m){if(i=+i,s>>>=0,u>>>=0,!m){checkInt(this,i,s,u,Math.pow(2,8*u)-1,0)}let v=1,_=0;for(this[s]=255&i;++_>>=0,u>>>=0,!m){checkInt(this,i,s,u,Math.pow(2,8*u)-1,0)}let v=u-1,_=1;for(this[s+v]=255&i;--v>=0&&(_*=256);)this[s+v]=i/_&255;return s+u},Buffer.prototype.writeUint8=Buffer.prototype.writeUInt8=function writeUInt8(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,1,255,0),this[s]=255&i,s+1},Buffer.prototype.writeUint16LE=Buffer.prototype.writeUInt16LE=function writeUInt16LE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,2,65535,0),this[s]=255&i,this[s+1]=i>>>8,s+2},Buffer.prototype.writeUint16BE=Buffer.prototype.writeUInt16BE=function writeUInt16BE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,2,65535,0),this[s]=i>>>8,this[s+1]=255&i,s+2},Buffer.prototype.writeUint32LE=Buffer.prototype.writeUInt32LE=function writeUInt32LE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,4,4294967295,0),this[s+3]=i>>>24,this[s+2]=i>>>16,this[s+1]=i>>>8,this[s]=255&i,s+4},Buffer.prototype.writeUint32BE=Buffer.prototype.writeUInt32BE=function writeUInt32BE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,4,4294967295,0),this[s]=i>>>24,this[s+1]=i>>>16,this[s+2]=i>>>8,this[s+3]=255&i,s+4},Buffer.prototype.writeBigUInt64LE=defineBigIntMethod((function writeBigUInt64LE(i,s=0){return wrtBigUInt64LE(this,i,s,BigInt(0),BigInt("0xffffffffffffffff"))})),Buffer.prototype.writeBigUInt64BE=defineBigIntMethod((function writeBigUInt64BE(i,s=0){return wrtBigUInt64BE(this,i,s,BigInt(0),BigInt("0xffffffffffffffff"))})),Buffer.prototype.writeIntLE=function writeIntLE(i,s,u,m){if(i=+i,s>>>=0,!m){const m=Math.pow(2,8*u-1);checkInt(this,i,s,u,m-1,-m)}let v=0,_=1,j=0;for(this[s]=255&i;++v>0)-j&255;return s+u},Buffer.prototype.writeIntBE=function writeIntBE(i,s,u,m){if(i=+i,s>>>=0,!m){const m=Math.pow(2,8*u-1);checkInt(this,i,s,u,m-1,-m)}let v=u-1,_=1,j=0;for(this[s+v]=255&i;--v>=0&&(_*=256);)i<0&&0===j&&0!==this[s+v+1]&&(j=1),this[s+v]=(i/_>>0)-j&255;return s+u},Buffer.prototype.writeInt8=function writeInt8(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,1,127,-128),i<0&&(i=255+i+1),this[s]=255&i,s+1},Buffer.prototype.writeInt16LE=function writeInt16LE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,2,32767,-32768),this[s]=255&i,this[s+1]=i>>>8,s+2},Buffer.prototype.writeInt16BE=function writeInt16BE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,2,32767,-32768),this[s]=i>>>8,this[s+1]=255&i,s+2},Buffer.prototype.writeInt32LE=function writeInt32LE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,4,2147483647,-2147483648),this[s]=255&i,this[s+1]=i>>>8,this[s+2]=i>>>16,this[s+3]=i>>>24,s+4},Buffer.prototype.writeInt32BE=function 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TypeError("argument should be a Buffer");if(u||(u=0),m||0===m||(m=this.length),s>=i.length&&(s=i.length),s||(s=0),m>0&&m=this.length)throw new RangeError("Index out of range");if(m<0)throw new RangeError("sourceEnd out of bounds");m>this.length&&(m=this.length),i.length-s>>=0,u=void 0===u?this.length:u>>>0,i||(i=0),"number"==typeof i)for(v=s;v=m+4;u-=3)s=`_${i.slice(u-3,u)}${s}`;return`${i.slice(0,u)}${s}`}function checkIntBI(i,s,u,m,v,_){if(i>u||i3?0===s||s===BigInt(0)?`>= 0${m} and < 2${m} ** ${8*(_+1)}${m}`:`>= -(2${m} ** ${8*(_+1)-1}${m}) and < 2 ** ${8*(_+1)-1}${m}`:`>= ${s}${m} and <= ${u}${m}`,new $.ERR_OUT_OF_RANGE("value",v,i)}!function checkBounds(i,s,u){validateNumber(s,"offset"),void 0!==i[s]&&void 0!==i[s+u]||boundsError(s,i.length-(u+1))}(m,v,_)}function validateNumber(i,s){if("number"!=typeof i)throw new $.ERR_INVALID_ARG_TYPE(s,"number",i)}function boundsError(i,s,u){if(Math.floor(i)!==i)throw validateNumber(i,u),new $.ERR_OUT_OF_RANGE(u||"offset","an 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s,u=this._w,m=0|this._a,v=0|this._b,_=0|this._c,M=0|this._d,$=0|this._e,W=0;W<16;++W)u[W]=i.readInt32BE(4*W);for(;W<80;++W)u[W]=u[W-3]^u[W-8]^u[W-14]^u[W-16];for(var X=0;X<80;++X){var Y=~~(X/20),Z=0|((s=m)<<5|s>>>27)+ft(Y,v,_,M)+$+u[X]+j[Y];$=M,M=_,_=rotl30(v),v=m,m=Z}this._a=m+this._a|0,this._b=v+this._b|0,this._c=_+this._c|0,this._d=M+this._d|0,this._e=$+this._e|0},Sha.prototype._hash=function(){var i=_.allocUnsafe(20);return i.writeInt32BE(0|this._a,0),i.writeInt32BE(0|this._b,4),i.writeInt32BE(0|this._c,8),i.writeInt32BE(0|this._d,12),i.writeInt32BE(0|this._e,16),i},i.exports=Sha},18336:(i,s,u)=>{var m=u(35717),v=u(24189),_=u(89509).Buffer,j=[1518500249,1859775393,-1894007588,-899497514],M=new Array(80);function Sha1(){this.init(),this._w=M,v.call(this,64,56)}function rotl5(i){return i<<5|i>>>27}function rotl30(i){return i<<30|i>>>2}function ft(i,s,u,m){return 0===i?s&u|~s&m:2===i?s&u|s&m|u&m:s^u^m}m(Sha1,v),Sha1.prototype.init=function(){return this._a=1732584193,this._b=4023233417,this._c=2562383102,this._d=271733878,this._e=3285377520,this},Sha1.prototype._update=function(i){for(var s,u=this._w,m=0|this._a,v=0|this._b,_=0|this._c,M=0|this._d,$=0|this._e,W=0;W<16;++W)u[W]=i.readInt32BE(4*W);for(;W<80;++W)u[W]=(s=u[W-3]^u[W-8]^u[W-14]^u[W-16])<<1|s>>>31;for(var X=0;X<80;++X){var Y=~~(X/20),Z=rotl5(m)+ft(Y,v,_,M)+$+u[X]+j[Y]|0;$=M,M=_,_=rotl30(v),v=m,m=Z}this._a=m+this._a|0,this._b=v+this._b|0,this._c=_+this._c|0,this._d=M+this._d|0,this._e=$+this._e|0},Sha1.prototype._hash=function(){var i=_.allocUnsafe(20);return i.writeInt32BE(0|this._a,0),i.writeInt32BE(0|this._b,4),i.writeInt32BE(0|this._c,8),i.writeInt32BE(0|this._d,12),i.writeInt32BE(0|this._e,16),i},i.exports=Sha1},48432:(i,s,u)=>{var m=u(35717),v=u(67499),_=u(24189),j=u(89509).Buffer,M=new Array(64);function Sha224(){this.init(),this._w=M,_.call(this,64,56)}m(Sha224,v),Sha224.prototype.init=function(){return this._a=3238371032,this._b=914150663,this._c=812702999,this._d=4144912697,this._e=4290775857,this._f=1750603025,this._g=1694076839,this._h=3204075428,this},Sha224.prototype._hash=function(){var i=j.allocUnsafe(28);return i.writeInt32BE(this._a,0),i.writeInt32BE(this._b,4),i.writeInt32BE(this._c,8),i.writeInt32BE(this._d,12),i.writeInt32BE(this._e,16),i.writeInt32BE(this._f,20),i.writeInt32BE(this._g,24),i},i.exports=Sha224},67499:(i,s,u)=>{var m=u(35717),v=u(24189),_=u(89509).Buffer,j=[1116352408,1899447441,3049323471,3921009573,961987163,1508970993,2453635748,2870763221,3624381080,310598401,607225278,1426881987,1925078388,2162078206,2614888103,3248222580,3835390401,4022224774,264347078,604807628,770255983,1249150122,1555081692,1996064986,2554220882,2821834349,2952996808,3210313671,3336571891,3584528711,113926993,338241895,666307205,773529912,1294757372,1396182291,1695183700,1986661051,2177026350,2456956037,2730485921,2820302411,3259730800,3345764771,3516065817,3600352804,4094571909,275423344,430227734,506948616,659060556,883997877,958139571,1322822218,1537002063,1747873779,1955562222,2024104815,2227730452,2361852424,2428436474,2756734187,3204031479,3329325298],M=new Array(64);function Sha256(){this.init(),this._w=M,v.call(this,64,56)}function ch(i,s,u){return u^i&(s^u)}function maj(i,s,u){return i&s|u&(i|s)}function sigma0(i){return(i>>>2|i<<30)^(i>>>13|i<<19)^(i>>>22|i<<10)}function sigma1(i){return(i>>>6|i<<26)^(i>>>11|i<<21)^(i>>>25|i<<7)}function gamma0(i){return(i>>>7|i<<25)^(i>>>18|i<<14)^i>>>3}m(Sha256,v),Sha256.prototype.init=function(){return this._a=1779033703,this._b=3144134277,this._c=1013904242,this._d=2773480762,this._e=1359893119,this._f=2600822924,this._g=528734635,this._h=1541459225,this},Sha256.prototype._update=function(i){for(var s,u=this._w,m=0|this._a,v=0|this._b,_=0|this._c,M=0|this._d,$=0|this._e,W=0|this._f,X=0|this._g,Y=0|this._h,Z=0;Z<16;++Z)u[Z]=i.readInt32BE(4*Z);for(;Z<64;++Z)u[Z]=0|(((s=u[Z-2])>>>17|s<<15)^(s>>>19|s<<13)^s>>>10)+u[Z-7]+gamma0(u[Z-15])+u[Z-16];for(var ee=0;ee<64;++ee){var ie=Y+sigma1($)+ch($,W,X)+j[ee]+u[ee]|0,ae=sigma0(m)+maj(m,v,_)|0;Y=X,X=W,W=$,$=M+ie|0,M=_,_=v,v=m,m=ie+ae|0}this._a=m+this._a|0,this._b=v+this._b|0,this._c=_+this._c|0,this._d=M+this._d|0,this._e=$+this._e|0,this._f=W+this._f|0,this._g=X+this._g|0,this._h=Y+this._h|0},Sha256.prototype._hash=function(){var i=_.allocUnsafe(32);return i.writeInt32BE(this._a,0),i.writeInt32BE(this._b,4),i.writeInt32BE(this._c,8),i.writeInt32BE(this._d,12),i.writeInt32BE(this._e,16),i.writeInt32BE(this._f,20),i.writeInt32BE(this._g,24),i.writeInt32BE(this._h,28),i},i.exports=Sha256},51686:(i,s,u)=>{var m=u(35717),v=u(87816),_=u(24189),j=u(89509).Buffer,M=new Array(160);function Sha384(){this.init(),this._w=M,_.call(this,128,112)}m(Sha384,v),Sha384.prototype.init=function(){return this._ah=3418070365,this._bh=1654270250,this._ch=2438529370,this._dh=355462360,this._eh=1731405415,this._fh=2394180231,this._gh=3675008525,this._hh=1203062813,this._al=3238371032,this._bl=914150663,this._cl=812702999,this._dl=4144912697,this._el=4290775857,this._fl=1750603025,this._gl=1694076839,this._hl=3204075428,this},Sha384.prototype._hash=function(){var i=j.allocUnsafe(48);function writeInt64BE(s,u,m){i.writeInt32BE(s,m),i.writeInt32BE(u,m+4)}return writeInt64BE(this._ah,this._al,0),writeInt64BE(this._bh,this._bl,8),writeInt64BE(this._ch,this._cl,16),writeInt64BE(this._dh,this._dl,24),writeInt64BE(this._eh,this._el,32),writeInt64BE(this._fh,this._fl,40),i},i.exports=Sha384},87816:(i,s,u)=>{var m=u(35717),v=u(24189),_=u(89509).Buffer,j=[1116352408,3609767458,1899447441,602891725,3049323471,3964484399,3921009573,2173295548,961987163,4081628472,1508970993,3053834265,2453635748,2937671579,2870763221,3664609560,3624381080,2734883394,310598401,1164996542,607225278,1323610764,1426881987,3590304994,1925078388,4068182383,2162078206,991336113,2614888103,633803317,3248222580,3479774868,3835390401,2666613458,4022224774,944711139,264347078,2341262773,604807628,2007800933,770255983,1495990901,1249150122,1856431235,1555081692,3175218132,1996064986,2198950837,2554220882,3999719339,2821834349,766784016,2952996808,2566594879,3210313671,3203337956,3336571891,1034457026,3584528711,2466948901,113926993,3758326383,338241895,168717936,666307205,1188179964,773529912,1546045734,1294757372,1522805485,1396182291,2643833823,1695183700,2343527390,1986661051,1014477480,2177026350,1206759142,2456956037,344077627,2730485921,1290863460,2820302411,3158454273,3259730800,3505952657,3345764771,106217008,3516065817,3606008344,3600352804,1432725776,4094571909,1467031594,275423344,851169720,430227734,3100823752,506948616,1363258195,659060556,3750685593,883997877,3785050280,958139571,3318307427,1322822218,3812723403,1537002063,2003034995,1747873779,3602036899,1955562222,1575990012,2024104815,1125592928,2227730452,2716904306,2361852424,442776044,2428436474,593698344,2756734187,3733110249,3204031479,2999351573,3329325298,3815920427,3391569614,3928383900,3515267271,566280711,3940187606,3454069534,4118630271,4000239992,116418474,1914138554,174292421,2731055270,289380356,3203993006,460393269,320620315,685471733,587496836,852142971,1086792851,1017036298,365543100,1126000580,2618297676,1288033470,3409855158,1501505948,4234509866,1607167915,987167468,1816402316,1246189591],M=new Array(160);function Sha512(){this.init(),this._w=M,v.call(this,128,112)}function Ch(i,s,u){return u^i&(s^u)}function maj(i,s,u){return i&s|u&(i|s)}function sigma0(i,s){return(i>>>28|s<<4)^(s>>>2|i<<30)^(s>>>7|i<<25)}function sigma1(i,s){return(i>>>14|s<<18)^(i>>>18|s<<14)^(s>>>9|i<<23)}function Gamma0(i,s){return(i>>>1|s<<31)^(i>>>8|s<<24)^i>>>7}function Gamma0l(i,s){return(i>>>1|s<<31)^(i>>>8|s<<24)^(i>>>7|s<<25)}function Gamma1(i,s){return(i>>>19|s<<13)^(s>>>29|i<<3)^i>>>6}function Gamma1l(i,s){return(i>>>19|s<<13)^(s>>>29|i<<3)^(i>>>6|s<<26)}function getCarry(i,s){return i>>>0>>0?1:0}m(Sha512,v),Sha512.prototype.init=function(){return this._ah=1779033703,this._bh=3144134277,this._ch=1013904242,this._dh=2773480762,this._eh=1359893119,this._fh=2600822924,this._gh=528734635,this._hh=1541459225,this._al=4089235720,this._bl=2227873595,this._cl=4271175723,this._dl=1595750129,this._el=2917565137,this._fl=725511199,this._gl=4215389547,this._hl=327033209,this},Sha512.prototype._update=function(i){for(var s=this._w,u=0|this._ah,m=0|this._bh,v=0|this._ch,_=0|this._dh,M=0|this._eh,$=0|this._fh,W=0|this._gh,X=0|this._hh,Y=0|this._al,Z=0|this._bl,ee=0|this._cl,ie=0|this._dl,ae=0|this._el,ce=0|this._fl,le=0|this._gl,pe=0|this._hl,de=0;de<32;de+=2)s[de]=i.readInt32BE(4*de),s[de+1]=i.readInt32BE(4*de+4);for(;de<160;de+=2){var fe=s[de-30],ye=s[de-30+1],be=Gamma0(fe,ye),_e=Gamma0l(ye,fe),we=Gamma1(fe=s[de-4],ye=s[de-4+1]),Se=Gamma1l(ye,fe),xe=s[de-14],Pe=s[de-14+1],Ie=s[de-32],Te=s[de-32+1],Re=_e+Pe|0,qe=be+xe+getCarry(Re,_e)|0;qe=(qe=qe+we+getCarry(Re=Re+Se|0,Se)|0)+Ie+getCarry(Re=Re+Te|0,Te)|0,s[de]=qe,s[de+1]=Re}for(var ze=0;ze<160;ze+=2){qe=s[ze],Re=s[ze+1];var Ve=maj(u,m,v),We=maj(Y,Z,ee),He=sigma0(u,Y),Xe=sigma0(Y,u),Ye=sigma1(M,ae),Qe=sigma1(ae,M),et=j[ze],tt=j[ze+1],rt=Ch(M,$,W),nt=Ch(ae,ce,le),ot=pe+Qe|0,it=X+Ye+getCarry(ot,pe)|0;it=(it=(it=it+rt+getCarry(ot=ot+nt|0,nt)|0)+et+getCarry(ot=ot+tt|0,tt)|0)+qe+getCarry(ot=ot+Re|0,Re)|0;var at=Xe+We|0,st=He+Ve+getCarry(at,Xe)|0;X=W,pe=le,W=$,le=ce,$=M,ce=ae,M=_+it+getCarry(ae=ie+ot|0,ie)|0,_=v,ie=ee,v=m,ee=Z,m=u,Z=Y,u=it+st+getCarry(Y=ot+at|0,ot)|0}this._al=this._al+Y|0,this._bl=this._bl+Z|0,this._cl=this._cl+ee|0,this._dl=this._dl+ie|0,this._el=this._el+ae|0,this._fl=this._fl+ce|0,this._gl=this._gl+le|0,this._hl=this._hl+pe|0,this._ah=this._ah+u+getCarry(this._al,Y)|0,this._bh=this._bh+m+getCarry(this._bl,Z)|0,this._ch=this._ch+v+getCarry(this._cl,ee)|0,this._dh=this._dh+_+getCarry(this._dl,ie)|0,this._eh=this._eh+M+getCarry(this._el,ae)|0,this._fh=this._fh+$+getCarry(this._fl,ce)|0,this._gh=this._gh+W+getCarry(this._gl,le)|0,this._hh=this._hh+X+getCarry(this._hl,pe)|0},Sha512.prototype._hash=function(){var i=_.allocUnsafe(64);function writeInt64BE(s,u,m){i.writeInt32BE(s,m),i.writeInt32BE(u,m+4)}return writeInt64BE(this._ah,this._al,0),writeInt64BE(this._bh,this._bl,8),writeInt64BE(this._ch,this._cl,16),writeInt64BE(this._dh,this._dl,24),writeInt64BE(this._eh,this._el,32),writeInt64BE(this._fh,this._fl,40),writeInt64BE(this._gh,this._gl,48),writeInt64BE(this._hh,this._hl,56),i},i.exports=Sha512},37478:(i,s,u)=>{"use strict";var m=u(40210),v=u(21924),_=u(70631),j=m("%TypeError%"),M=m("%WeakMap%",!0),$=m("%Map%",!0),W=v("WeakMap.prototype.get",!0),X=v("WeakMap.prototype.set",!0),Y=v("WeakMap.prototype.has",!0),Z=v("Map.prototype.get",!0),ee=v("Map.prototype.set",!0),ie=v("Map.prototype.has",!0),listGetNode=function(i,s){for(var u,m=i;null!==(u=m.next);m=u)if(u.key===s)return m.next=u.next,u.next=i.next,i.next=u,u};i.exports=function getSideChannel(){var i,s,u,m={assert:function(i){if(!m.has(i))throw new j("Side channel does not contain "+_(i))},get:function(m){if(M&&m&&("object"==typeof m||"function"==typeof m)){if(i)return W(i,m)}else if($){if(s)return Z(s,m)}else if(u)return 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