semvec/pypi-packages huggingface dataset:
pytorch-nn-tools 0.3.7
Tools for NN creation with Pytorch
License: MIT license
Requires Python: >=3.6
Keywords: pytorch_nn_tools

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pytorch-nn-tools
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        :target: https://pypi.python.org/pypi/pytorch-nn-tools

.. image:: https://travis-ci.com/serge-m/pytorch-nn-tools.svg?branch=master
        :target: https://travis-ci.com/github/serge-m/pytorch-nn-tools/

.. image:: https://readthedocs.org/projects/pytorch-nn-tools/badge/?version=latest
        :target: https://pytorch-nn-tools.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status




Tools for NN creation with Pytorch. The project is greatly inspired by fast.ai library.
The project brings the convenience functions from fast.ai to a usual pytorch user.


Usage examples
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CheckpointSaver
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.. code-block:: python

    from pytorch_nn_tools.devices import to_device
    from pytorch_nn_tools.train.checkpoint import CheckpointSaver

    checkpoint_saver = CheckpointSaver(path_checkpoints, logger=DummyLogger())

    # create your model, optimizer, scheduler
    # train for several epochs
    for epoch in range(100):
        .....
        # at the end of each epoch we save the results
        checkpoint_saver.save(model, optimizer, scheduler, epoch)



    # later you can load the latest checkpoint and continue training
    last = checkpoint_saver.find_last(start_epoch, end_epoch)
    if last is not None:
        print(f"found pretrained results for epoch {last}. Loading...")
        self.checkpoint_saver.load(model, optimizer, scheduler, last)
    else:
        print(f"pretrained weights are not found")


Misc
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* Free software: MIT license
* Documentation: https://pytorch-nn-tools.readthedocs.io.