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Update PyPiDescription.rst #2445

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Jul 18, 2023
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Update PyPiDescription.rst #2445

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aa83aff
Update PyPiDescription.rst
bryanwweber Jul 5, 2023
91c2fc6
Set the content type of the long description
bryanwweber Jul 5, 2023
76584a0
Fix the homepage URL
bryanwweber Jul 5, 2023
6576161
Merge branch 'master' into patch-1
bryanwweber Jul 7, 2023
a9187d0
Merge branch 'master' into patch-1
agunapal Jul 12, 2023
1428240
Update links for workflow-archiver
bryanwweber Jul 13, 2023
46a34ef
Also update the content type in the root setup.py
bryanwweber Jul 13, 2023
2b5ddf8
Merge branch 'master' into patch-1
agunapal Jul 13, 2023
8e9d78e
Merge branch 'master' into patch-1
agunapal Jul 17, 2023
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8 changes: 4 additions & 4 deletions model-archiver/PyPiDescription.rst
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Original file line number Diff line number Diff line change
@@ -1,23 +1,23 @@
Project Description
===================

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

Use the Torch Model Archiver CLI to start create a ``.mar`` file.
Use the Torch Model Archiver CLI to create a ``.mar`` file.

Torch Model Archiver is part of `TorchServe <https://pypi.org/project/torchserve/>`__.
However, you can install Torch Model Archiver stand alone.

Detailed documentation and examples are provided in the `README
<https://github.com/pytorch/serve/model-archiver/README.md>`__.
<https://github.com/pytorch/serve/blob/master/model-archiver/README.md>`__.


Installation
------------

::

pip install torch-model-archiver
python -m pip install torch-model-archiver

Source code
-----------
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3 changes: 2 additions & 1 deletion model-archiver/setup.py
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Expand Up @@ -71,9 +71,10 @@ def get_nightly_version():
description="Torch Model Archiver is used for creating archives of trained neural net models "
"that can be consumed by TorchServe inference",
long_description=pypi_description(),
long_description_content_type="text/x-rst",
author="PyTorch Serving team",
author_email="noreply@noreply.com",
url="https://github.com/pytorch/serve/model-archiver/",
url="https://github.com/pytorch/serve/blob/master/model-archiver",
keywords="TorchServe Torch Model Archive Archiver Server Serving Deep Learning Inference AI",
packages=pkgs,
install_requires=requirements,
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1 change: 1 addition & 0 deletions setup.py
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Expand Up @@ -167,6 +167,7 @@ def run(self):
author="PyTorch Serving team",
author_email="noreply@noreply.com",
long_description=pypi_description(),
long_description_content_type="text/x-rst",
url="https://github.com/pytorch/serve.git",
keywords="TorchServe PyTorch Serving Deep Learning Inference AI",
packages=pkgs,
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4 changes: 2 additions & 2 deletions workflow-archiver/PyPiDescription.rst
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Expand Up @@ -3,13 +3,13 @@ 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.
Use the Torch Workflow Archiver CLI to create a ``.war`` file.

Torch Workflow Archiver is part of `TorchServe <https://pypi.org/project/torchserve/>`__.
However, you can install Torch Workflow Archiver stand alone.

Detailed documentation and examples are provided in the `README
<https://github.com/pytorch/serve/workflow-archiver/README.md>`__.
<https://github.com/pytorch/serve/blob/master/workflow-archiver/README.md>`__.


Installation
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3 changes: 2 additions & 1 deletion workflow-archiver/setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -75,9 +75,10 @@ def get_nightly_version():
description="Torch Workflow Archiver is used for creating archives of workflow designed using"
" trained neural net models that can be consumed by TorchServe inference",
long_description=pypi_description(),
long_description_content_type="text/x-rst",
author="PyTorch Serving team",
author_email="noreply@noreply.com",
url="https://github.com/pytorch/serve/workflow-archiver/",
url="https://github.com/pytorch/serve/blob/master/workflow-archiver/",
keywords="TorchServe Torch Workflow Archive Archiver Server Serving Deep Learning Inference AI",
packages=pkgs,
entry_points={
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