Version bump to v0.29.0.dev0 (#3734)

composer/_version.py

@@ -3,4 +3,4 @@
 
 """The Composer Version."""
 
-__version__ = '0.28.0.dev0'
+__version__ = '0.29.0.dev0'

docker/README.md

@@ -15,8 +15,8 @@ all dependencies for both NLP and Vision models. They are built on top of the
 <!-- BEGIN_COMPOSER_BUILD_MATRIX -->
 | Composer Version   | CUDA Support   | Docker Tag                                                                                                                                                       |
 |--------------------|----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| 0.27.0             | Yes            | `mosaicml/composer:latest`, `mosaicml/composer:0.27.0`                 |
-| 0.27.0             | No             | `mosaicml/composer:latest_cpu`, `mosaicml/composer:0.27.0_cpu` |
+| 0.28.0             | Yes            | `mosaicml/composer:latest`, `mosaicml/composer:0.28.0`                 |
+| 0.28.0             | No             | `mosaicml/composer:latest_cpu`, `mosaicml/composer:0.28.0_cpu` |
 <!-- END_COMPOSER_BUILD_MATRIX -->
 
 **Note**: For a lightweight installation, we recommended using a [MosaicML PyTorch Image](#pytorch-images) and manually

docker/build_matrix.yaml

@@ -168,36 +168,36 @@
   TORCHVISION_VERSION: 0.18.1
 - AWS_OFI_NCCL_VERSION: ''
   BASE_IMAGE: nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04
-  COMPOSER_INSTALL_COMMAND: mosaicml[all]==0.27.0
+  COMPOSER_INSTALL_COMMAND: mosaicml[all]==0.28.0
   CUDA_VERSION: 12.4.1
-  IMAGE_NAME: composer-0-27-0
+  IMAGE_NAME: composer-0-28-0
   MOFED_VERSION: latest-23.10
   NVIDIA_REQUIRE_CUDA_OVERRIDE: ''
   PYTHON_VERSION: '3.11'
   PYTORCH_NIGHTLY_URL: ''
   PYTORCH_NIGHTLY_VERSION: ''
   PYTORCH_VERSION: 2.5.1
   TAGS:
-  - mosaicml/composer:0.27.0
-  - ghcr.io/databricks-mosaic/composer:0.27.0
+  - mosaicml/composer:0.28.0
+  - ghcr.io/databricks-mosaic/composer:0.28.0
   - mosaicml/composer:latest
   - ghcr.io/databricks-mosaic/composer:latest
   TARGET: composer_stage
   TORCHVISION_VERSION: 0.20.1
 - AWS_OFI_NCCL_VERSION: ''
   BASE_IMAGE: ubuntu:22.04
-  COMPOSER_INSTALL_COMMAND: mosaicml[all]==0.27.0
+  COMPOSER_INSTALL_COMMAND: mosaicml[all]==0.28.0
   CUDA_VERSION: ''
-  IMAGE_NAME: composer-0-27-0-cpu
+  IMAGE_NAME: composer-0-28-0-cpu
   MOFED_VERSION: latest-23.10
   NVIDIA_REQUIRE_CUDA_OVERRIDE: ''
   PYTHON_VERSION: '3.11'
   PYTORCH_NIGHTLY_URL: ''
   PYTORCH_NIGHTLY_VERSION: ''
   PYTORCH_VERSION: 2.5.1
   TAGS:
-  - mosaicml/composer:0.27.0_cpu
-  - ghcr.io/databricks-mosaic/composer:0.27.0_cpu
+  - mosaicml/composer:0.28.0_cpu
+  - ghcr.io/databricks-mosaic/composer:0.28.0_cpu
   - mosaicml/composer:latest_cpu
   - ghcr.io/databricks-mosaic/composer:latest_cpu
   TARGET: composer_stage

docker/generate_build_matrix.py

@@ -244,7 +244,7 @@ def _main():
     composer_entries = []
 
     # The `GIT_COMMIT` is a placeholder and Jenkins will substitute it with the actual git commit for the `composer_staging` images
-    composer_versions = ['0.27.0']  # Only build images for the latest composer version
+    composer_versions = ['0.28.0']  # Only build images for the latest composer version
     composer_python_versions = [PRODUCTION_PYTHON_VERSION]  # just build composer against the latest
 
     for product in itertools.product(composer_python_versions, composer_versions, cuda_options):