ci: release 1.29.1

.github/workflows/cmake-linux.yml

@@ -114,7 +114,14 @@ jobs:
         if: startsWith(matrix.os, 'debian-') || startsWith(matrix.os, 'ubuntu-')
         run: |
           cat /etc/os-release
-          sudo dpkg -i .github/cache/dependencies-apt/*.deb
+          # The .deb set is cached under the runner label only, so a build job can land on a
+          # different runner image than the prepare-apt job that downloaded it. When the two images
+          # ship different versions of a preinstalled library, dpkg's versioned dependencies fail
+          # (seen with libevent-core 1build3 vs libevent-dev 1ubuntu0.1). Let apt pull whatever the
+          # cached debs are missing instead of failing the build.
+          sudo dpkg -i .github/cache/dependencies-apt/*.deb || true
+          sudo apt-get update -qq
+          sudo apt-get install -yq -f
 
       - name: Prepare container(onnxruntime)
         shell: bash

README.md

@@ -1,6 +1,6 @@
 # ONNX Runtime Server
 
-[![ONNX Runtime](https://img.shields.io/github/v/release/microsoft/onnxruntime?filter=v1.29.0&label=ONNX%20Runtime)](https://github.com/microsoft/onnxruntime)
+[![ONNX Runtime](https://img.shields.io/github/v/release/microsoft/onnxruntime?filter=v1.29.1&label=ONNX%20Runtime)](https://github.com/microsoft/onnxruntime)
 [![CMake on Linux](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-linux.yml/badge.svg)](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-linux.yml)
 [![CMake on MacOS](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-macos.yml/badge.svg)](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-macos.yml)
 [![CMake on Windows](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-windows.yml/badge.svg)](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-windows.yml)
@@ -191,17 +191,17 @@ server neither adds to it nor changes its default.
 
 - Docker hub: [kibaes/onnxruntime-server](https://hub.docker.com/r/kibaes/onnxruntime-server)
     - [
-      `1.29.0-linux-cuda13`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda13.dockerfile)
+      `1.29.1-linux-cuda13`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda13.dockerfile)
       amd64(CUDA 13.x, cuDNN 9.x)
     - [
-      `1.29.0-linux-cuda12`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda12.dockerfile)
+      `1.29.1-linux-cuda12`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda12.dockerfile)
       amd64(CUDA 12.x, cuDNN 9.x)
     - [
-      `1.29.0-linux-cpu`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cpu.dockerfile)
+      `1.29.1-linux-cpu`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cpu.dockerfile)
       amd64, arm64
 
 ```shell
-DOCKER_IMAGE=kibaes/onnxruntime-server:1.29.0-linux-cuda13 # or 1.29.0-linux-cuda12 or 1.29.0-linux-cpu
+DOCKER_IMAGE=kibaes/onnxruntime-server:1.29.1-linux-cuda13 # or 1.29.1-linux-cuda12 or 1.29.1-linux-cpu
 
 docker pull ${DOCKER_IMAGE}
 

deploy/build-docker/README.md

@@ -2,7 +2,7 @@
 
 ## x64 with CUDA
 
-- [ONNX Runtime Binary](https://github.com/microsoft/onnxruntime/releases) v1.29.0(latest) supports CUDA 12/13, cuDNN 9.
+- [ONNX Runtime Binary](https://github.com/microsoft/onnxruntime/releases) v1.29.1(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`

deploy/build-docker/VERSION

@@ -1,2 +1,2 @@
-export VERSION=1.29.0
+export VERSION=1.29.1
 export IMAGE_PREFIX=kibaes/onnxruntime-server

deploy/build-docker/docker-compose.yaml

@@ -5,7 +5,7 @@ services:
   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:1.29.0-linux-cuda13 # or 1.29.0-linux-cuda12
+    image: kibaes/onnxruntime-server:1.29.1-linux-cuda13 # or 1.29.1-linux-cuda12
     ports:
       - "8080:80" # for http backend
     volumes:
@@ -29,7 +29,7 @@ services:
   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:1.29.0-linux-cuda13 # or 1.29.0-linux-cuda12
+    image: kibaes/onnxruntime-server:1.29.1-linux-cuda13 # or 1.29.1-linux-cuda12
     ports:
       - "80:80" # for http backend
       - "443:443" # for https backend

docs/docker.md

@@ -5,9 +5,9 @@
 
 # Supported tags and respective Dockerfile links
 
-- [`1.29.0-linux-cuda13`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda13.dockerfile) amd64(CUDA 13.x, cuDNN 9.x)
-- [`1.29.0-linux-cuda12`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda12.dockerfile) amd64(CUDA 12.x, cuDNN 9.x)
-- [`1.29.0-linux-cpu`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cpu.dockerfile) amd64, arm64
+- [`1.29.1-linux-cuda13`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda13.dockerfile) amd64(CUDA 13.x, cuDNN 9.x)
+- [`1.29.1-linux-cuda12`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda12.dockerfile) amd64(CUDA 12.x, cuDNN 9.x)
+- [`1.29.1-linux-cpu`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cpu.dockerfile) amd64, arm64
 
 # How to use this image
 
@@ -37,7 +37,7 @@
     - API documentation will be available at http://localhost/api-docs.
 
 ```shell
-DOCKER_IMAGE=kibaes/onnxruntime-server:1.29.0-linux-cuda13 # or 1.29.0-linux-cuda12 or 1.29.0-linux-cpu
+DOCKER_IMAGE=kibaes/onnxruntime-server:1.29.1-linux-cuda13 # or 1.29.1-linux-cuda12 or 1.29.1-linux-cpu
 
 docker pull ${DOCKER_IMAGE}
 
@@ -78,7 +78,7 @@ services:
   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:1.29.0-linux-cuda13 # or 1.29.0-linux-cuda12
+    image: kibaes/onnxruntime-server:1.29.1-linux-cuda13 # or 1.29.1-linux-cuda12
     ports:
       - "8080:80" # for http backend
     volumes:
@@ -110,7 +110,7 @@ services:
   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:1.29.0-linux-cuda13 # or 1.29.0-linux-cuda12
+    image: kibaes/onnxruntime-server:1.29.1-linux-cuda13 # or 1.29.1-linux-cuda12
     ports:
       - "80:80" # for http backend
       - "443:443" # for https backend

docs/swagger/openapi.yaml

@@ -2,7 +2,7 @@ openapi: 3.0.3
 info:
   title: ONNX Runtime Server
   description: |-
-  version: 1.29.0
+  version: 1.29.1
 externalDocs:
   description: ONNX Runtime Server
   url: https://github.com/kibae/onnxruntime-server

src/test/test_lib_version.cpp

@@ -6,5 +6,5 @@
 #include "./test_common.hpp"
 
 TEST(test_lib_version, LibVersion) {
-	EXPECT_EQ(onnxruntime_server::onnx::version(), "1.29.0");
+	EXPECT_EQ(onnxruntime_server::onnx::version(), "1.29.1");
 }