Skip to main content

Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference

Project description

Torch Workflow Archiver is a tool used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference.

Use the Torch Workflow Archiver CLI to start create a .war file.

Torch Workflow Archiver is part of TorchServe. However, you can install Torch Workflow Archiver stand alone.

Detailed documentation and examples are provided in the README.

Installation

pip install torch-workflow-archiver

Source code

You can check the latest source code as follows:

git clone https://github.com/pytorch/serve.git

Citation

If you use TorchServe in a publication or project, please cite TorchServe: https://github.com/pytorch/serve

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

File details

Details for the file torch_workflow_archiver_nightly-2022.9.28-py3-none-any.whl.

File metadata

File hashes

Hashes for torch_workflow_archiver_nightly-2022.9.28-py3-none-any.whl
Algorithm Hash digest
SHA256 ed2d93c934dcdd4df40c87663cf2c3eb9cbdb8cba5a97c68383a1c6fc7b11087
MD5 814a216c4c73ab6de088fbb9daca0a9d
BLAKE2b-256 59a4e82356eaca5736ef999daebc9a9ed02ea225eec8b1b9cbf9cc66ccbd0460

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page