torchlambda is a tool to deploy PyTorch models on Amazon's AWS Lambda using AWS SDK for C++ and custom C++ runtime.

Using statically compiled dependencies whole package is shrunk to only 30MB.

Due to small size of compiled source code users can pass their models as AWS Lambda layers. Services like Amazon S3 are no longer necessary to load your model.

torchlambda has it's PyTorch & AWS dependencies always up to date because of continuous deployment run at 03:00 a.m. every day.

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Comparison with other deployment tools

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Trait / Tool torchlambda fastai Lambda KubeFlow Tensorflow Serving
Autoscaling :heavy_check_mark: :heavy_check_mark: with Kubernetes with Kubernetes
Light/Heavy load Light Light Heavy/Both Both
GPU Support :x: :x: :heavy_check_mark: :heavy_check_mark:
Serverless :heavy_check_mark: :heavy_check_mark: :x: :x:
Required services AWS Lambda AWS Lambda, AWS S3 Kubernetes Cluster & cloud provider Deployable in various settings
Multiple frameworks :x: :x: :heavy_check_mark: :x:
Latest framework 1 :heavy_check_mark: :x: :x: :heavy_check_mark:
Version (higher more mature) CD N/A 1.0 2.1.0
Customizable dependencies 2 :heavy_check_mark: :x: :x: :x:
Deployment size 3 ~30Mb +1Gb N/A ~67Mb4

Table Of Contents

Footnotes

1. Support for latest version of it's main DL framework or main frameworks if multiple supported

2. Project dependencies are easily customizable. In torchlambda it would be user specified build procedures for libtorch and AWS C++ SDK

3. Necessary size of code and dependencies to deploy model

4. Based on Dockerfile size

Project links

Key dates

PyPI data
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  • Released:
Newer release available (1602697918)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for szymonmaszke from gravatar.com szymonmaszke

Credits

Author: Szymon Maszke

License

MIT License (MIT)

Requires

Python >=3.6

Tags

aws lambda pytorch deployment minimal c++ neural network model

Classifiers

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