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 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-2024.3.5-py3-none-any.whl.

File metadata

File hashes

Hashes for torch_workflow_archiver_nightly-2024.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 67d109b31933410342b556e12492588035af5a29162ae98ca9b7db7ee0b18526
MD5 fe3aba92bb6b56c0c6a4ec9dba1cd2a4
BLAKE2b-256 a003c978be05b4f847503eab896c74db7bbb063c8a5c8fc8b10ca2de7e899aa0

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