This release is a pre-release and may not be stable for production use.
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
1 maintainer
Metadata
1 maintainer
Release files for torch-workflow-archiver-ag 0.2.4b20220624
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_workflow_archiver_ag-0.2.4b20220624-py3-none-any.whl | Python 3 | none | any | Details |
Release files / torch_workflow_archiver_ag-0.2.4b20220624-py3-none-any.whl
| Download URL | torch_workflow_archiver_ag-0.2.4b20220624-py3-none-any.whl |
|---|---|
| Size | 12.7 kB |
| Tags | Python 3 |
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