bump v0.5.0 (#709)

Author: garrett4wade

.github/workflows/test-areal.yml

@@ -15,7 +15,7 @@ env:
   RUNNER_LABELS: gcp-a2-highgpu-2g
   RUNNER_VERSION: '2.317.0'
   GCP_OS_IMAGE: areal-cicd-test-202510270
-  CONTAINER_IMAGE: ghcr.io/inclusionai/areal-runtime:${{ (github.head_ref == 'build-docker-image' || github.ref_name == 'build-docker-image') && 'dev' || 'v0.4.1' }}
+  CONTAINER_IMAGE: ghcr.io/inclusionai/areal-runtime:${{ (github.head_ref == 'build-docker-image' || github.ref_name == 'build-docker-image') && 'dev' || 'v0.5.0' }}
 
 jobs:
   provision-runner:

areal/version.py

@@ -5,7 +5,7 @@
 
 class VersionInfo:
     def __init__(self):
-        self.__version__ = "0.4.1"
+        self.__version__ = "0.5.0"
         self.__branch__ = ""
         self.__commit__ = ""
         self.__is_dirty__ = False

docs/tutorial/installation.md

@@ -24,7 +24,7 @@ The following hardware configuration has been extensively tested:
 | Git LFS                  | Required for downloading models, datasets, and AReaL code. See [installation guide](https://docs.github.com/en/repositories/working-with-files/managing-large-files/installing-git-large-file-storage) |
 | Docker                   |                                                                                                 27.5.1                                                                                                 |
 | NVIDIA Container Toolkit |                                         See [installation guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html)                                          |
-| AReaL Image              |                                                     `ghcr.io/inclusionai/areal-runtime:v0.4.1` (includes runtime dependencies and Ray components)                                                      |
+| AReaL Image              |                                                     `ghcr.io/inclusionai/areal-runtime:v0.5.0` (includes runtime dependencies and Ray components)                                                      |
 
 **Note**: This tutorial does not cover the installation of NVIDIA Drivers, CUDA, or
 shared storage mounting, as these depend on your specific node configuration and system
@@ -42,11 +42,11 @@ We recommend using Docker with our provided image. The Dockerfile is available i
 top-level directory of the AReaL repository.
 
 ```bash
-docker pull ghcr.io/inclusionai/areal-runtime:v0.4.1
+docker pull ghcr.io/inclusionai/areal-runtime:v0.5.0
 docker run -it --name areal-node1 \
    --privileged --gpus all --network host \
    --shm-size 700g -v /path/to/mount:/path/to/mount \
-   ghcr.io/inclusionai/areal-runtime:v0.4.1 \
+   ghcr.io/inclusionai/areal-runtime:v0.5.0 \
    /bin/bash
 git clone https://github.com/inclusionAI/AReaL
 cd AReaL

examples/skypilot/README.md

@@ -25,7 +25,7 @@ resources:
   cpus: 8+
   memory: 32GB+
   disk_size: 256GB
-  image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.4.1
+  image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.5.0
 
 num_nodes: 1
 
@@ -76,7 +76,7 @@ Specify the resources and image used to run the experiment.
 ```yaml
 resources:
   accelerators: A100:8
-  image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.4.1
+  image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.5.0
   memory: 256+
   cpus: 32+
 

examples/skypilot/ray_cluster.sky.yaml

@@ -1,7 +1,7 @@
 
 resources:
   accelerators: A100:8
-  image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.4.1
+  image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.5.0
   memory: 32+
   cpus: 8+
 

examples/skypilot/single_node.sky.yaml

@@ -8,7 +8,7 @@ resources:
   cpus: 8+
   memory: 32GB+
   disk_size: 256GB
-  image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.4.1
+  image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.5.0
 
 num_nodes: 1