padl 0.1.6

Pytorch abstractions for deep learning

PADL

Pipeline abstractions for deep learning.

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Full documentation here: https://lf1-io.github.io/padl/

PADL:

• is a pipeline builder for PyTorch.
• may be used with all of the great PyTorch functionality you're used to for writing layers.
• allows users to build pre-processing, forward passes, loss functions and post-processing into the pipeline
• models may have arbitrary topologies and make use of arbitrary packages from the python ecosystem
• allows for converting standard functions to PADL components using a single keyword transform.

PADL was developed at LF1 an AI innovation lab based in Berlin, Germany.

Getting Started

pip install padl

Your first PADL program

from padl import transform, batch, unbatch
import torch
from torch import nn
nn = transform(nn)

@transform
def prepare(x):
    return torch.tensor(x)

@transform
def post(x):
  	return x.topk(1)[1].item()

my_pipeline = prepare >> batch >> nn.Linear(10, 20) >> unbatch >> post

Contributing

Code of conduct: https://github.com/lf1-io/padl/blob/main/CODE_OF_CONDUCT.md

If your interested in contributing to PADL please look at the current issues: https://github.com/lf1-io/padl/issues

Licensing

PADL is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.