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⬆️ Bump torch-model-archiver from 0.3.1 to 0.4.2

Dependabot Deeployrequested to merge
dependabot-pip-torch-model-archiver-0.4.2 into master

Bumps torch-model-archiver from 0.3.1 to 0.4.2.

Release notes

Sourced from torch-model-archiver's releases.

TorchServe v0.4.2 Release Notes

This is a hotfix release of TorchServe v0.4.2.

Improvements

TorchServe v0.4.1 Release Notes

This is the release of TorchServe v0.4.1.

New Features

  • PyTorch 1.9.0 support - TorchServe is now certified working with torch 1.9.0 torchvision 0.10.0, torchtext 0.10.0 and torchaudio 0.9.0
  • Model configuration support - Added support for model performance tuning on SageMaker via model configuration in config.properties.
  • Serialize config snapshots to DynamoDB - Added support for serializing config snapshots to DDB.
  • Prometheus metrics plugin support - Added support for Prometheus metrics plugin.
  • Kubeflow Pipelines support - Added support for Kubeflow pipelines and Google Vertex AI Manages pipelines, see examples here
  • KFServing docker support - Added production docker for KFServing.
  • Python 3.9 support - TorchServe is now certified working with Python 3.9.

Improvements

  • HF BERT models multiple GPU support - Added multi-gpu support for HuggingFace BERT models.
  • Error log for customer python package installation - Added support to log error of customer python package installation.
  • Workflow documentation optimization - Optimized workflow documentation.

Tooling improvements

  • Mar file automation integration - Integrated mar file generation automation into pytest and postman test.
  • Benchmark automation for AWS neuron support - Added support for AWS neuron benchmark automation.
  • Staging binary build support - Added support for staging binary build.

Platform Support

Ubuntu 16.04, Ubuntu 18.04, MacOS 10.14+, Windows 10 Pro, Windows Server 2019, Windows subsystem for Linux (Windows Server 2019, WSLv1, Ubuntu 18.0.4)

GPU Support

Torch 1.9.0 + Cuda 10.2, 11.1 Torch 1.8.1 + Cuda 9.2, 10.1

TorchServe v0.4.0 Release Notes

This is the release of TorchServe v0.4.0.

New Features

  • Workflow support - Added support for sequential and parallel ensemble models with Language Translation and Computer Vision classification examples.
  • S3 Model Store SSE support - Added support for S3 server side model encryption via KMS.
  • MMF-activity-recognition model example - Added example MMF-activity-recognition model
  • PyTorch 1.8.1 support - TorchServe is now certified working with torch 1.8.1, torchvision 0.9.1, torchtext 0.9.1, and torchaudio 0.8.1

Improvements

... (truncated)

Commits
  • 3afb15f Merge branch 'master' into release_0.4.2
  • cdca64c Merge pull request #1173 from jagadeeshi2i/add-build-script
  • f83473e Merge branch 'master' into add-build-script
  • cad4b35 update version
  • cc9ed29 Merge pull request #1016 from pytorch/issue_1012
  • 0742fb4 Merge branch 'master' into issue_1012
  • 092ecf0 Merge pull request #1175 from Silas606/dev
  • 5779e75 fix pytest error
  • 926216d Merge branch 'master' into dev
  • 6ad05b6 Merge branch 'master' into issue_1012
  • Additional commits viewable in compare view

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