Ahmed Kamel
Ahmed Kamel
Inference-side changes have been released at - https://github.com/aws/sagemaker-inference-toolkit/releases/tag/v1.10.0 - https://github.com/aws/sagemaker-pytorch-inference-toolkit/releases/tag/v2.0.16 At the moment of writing this comment, it seems that the PyTorch inference container use `sagemaker-pytorch-inference-toolkit==2.0.14` as per https://github.com/search?q=repo%3Aaws%2Fdeep-learning-containers%20SM_TOOLKIT_VERSION&type=code For...
All of the above PRs - coupled with the release of new container versions that have those updated package versions - provides CodeArtifact support by when the environment variable `CA_REPOSITORY_ARN`...
training side changes have been released at - https://github.com/aws/sagemaker-training-toolkit/pull/187 - https://github.com/aws/sagemaker-training-toolkit/releases/tag/v4.7.0
This means that the remaining parts are more or less contained within this repo to update/release new container versions - release of new training container versions to leverage `sagemaker-training>=4.7.0` ([most...
Sagemaker PyTorch 2.0.1 Inference containers now support CodeArtifact - https://github.com/aws/deep-learning-containers/pull/3227 has been merged - A new version of the 2.0.1 containers have been released e.g. https://github.com/aws/deep-learning-containers/releases/tag/v1.6-pt-sagemaker-2.0.1-inf-cpu-py310 For training, this is...
PyTorch 2.0.1 training images, with CodeArtifact support, have been released e.g. https://github.com/aws/deep-learning-containers/releases/tag/v1.3-pt-sagemaker-2.0.1-tr-cpu-py310
Summary of the work to get this into PT 2.0.1 training/inference images, and to hopefully enable this to flow to more more frameworks ```mermaid flowchart TD inferencepr["fa:fa-code-pull-request feat: support codeartifact...
Yeah. It's very tough to know what's going wrong here with such short message. Another point on `pip install` and its output: `verbose` is too chatty, but omitting `verbose` is...
Awesome, I'll follow there for progress on that!
I've started seeing a similar error on Mac (Apple Silicon), this time when using `pip compile` and `uv==0.1.11` e.g. ``` UV_CACHE_DIR= UV_INDEX_URL= uv pip compile pyproject.toml --all-extras --upgrade -o requirements.lock...