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-2022.7.7-py3-none-any.whl.

File metadata

File hashes

Hashes for torch_workflow_archiver_nightly-2022.7.7-py3-none-any.whl
Algorithm Hash digest
SHA256 093a7fadaabca9ca87844db136201b8fce77b418f081f9b99c360ac815036de3
MD5 dfd52f817178402c4a67bf28933c75f3
BLAKE2b-256 3de125e55bb500d72773dc4af6a25e8bdf008f5861734b2aae9299fd71af5211

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