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


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

If you're not sure about the file name format, learn more about wheel file names.

torch_workflow_archiver-0.1.0-py2.py3-none-any.whl (12.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file torch_workflow_archiver-0.1.0-py2.py3-none-any.whl.

File metadata

  • Download URL: torch_workflow_archiver-0.1.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.8.8

File hashes

Hashes for torch_workflow_archiver-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 09b8b3d760c6f2fb8eaef3fedb3a72b825b78a817db91bacf369ae1dd60b60cf
MD5 da64f2d2867b209ebd71756f861770ea
BLAKE2b-256 716b7683a34ceea6f878b27f8172fe3b8919f06f0380ffdaaa6c5f97a3c4cbf1

See more details on using hashes here.

Supported by

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