PyTorch in Munich at Microsoft

Name: PyTorch in Munich at Microsoft
Start: 2018-12-11T18:30:00+01:00
End: 2018-12-11T21:30:00+01:00
Location: Microsoft Deutschland GmbH

Hosted By

Thomas V.

Details

PyTorch 1.0 is close! We’re excited to announce our next meetup about applied deep learning, this time at the Microsoft Munich HQ.

Speakers: Thomas Viehmann & Piotr Bialecki

Talk 1: Thomas Viehmann: Deploying PyTorch-Models with JIT und C++

PyTorch is well-liked for developing and training models.
We look at the more recent developments to make PyTorch models even faster and deploy PyTorch models outside Python. One of the key features to help this is the PyTorch Just-in-Time-Compiler (JIT).
First we look at how you can use the JIT to make your model run faster
in places where you would traditionally have to create custom (CUDA)
kernels.
We then turn to exporting a PyTorch model to C++ using the JIT. While many models, such as ResNets or Neural Style can be traced out
of the box, we also look at how more complex, cutting-edge models can be exported with ease and good style.
Then you can embed your models in a C++ application, shedding the
Python dependency.
Finally, we take a look at running PyTorch on Android. The traditional
way to export models to devices is through ONNX, but with PyTorch's
C++ library running on the device, things become much easier. We show
how this can be done and also discuss some of the (current)
limitations.

Thomas worked with and on PyTorch since early 2017. He is a prolific contributor to PyTorch with more than 80 features and bugfixes, from implementing CTC Loss, to speeding up Batch Norm, to enhancing the JIT capabilities. In 2018 he founded the consultancy MathInf and helping clients with mathematical modelling and AI implementation.

Talk 2: Piotr Bialecki: Semantic Search on PyTorch discussions

Piotr uses PyTorch for his work on all sorts of deep learning models. As the most active contributor to the PyTorch forums, he is one of the friendly faces of the PyTorch community and has helped hundreds of PyTorch users with their modelling questions. He holds a B.Sc. in Biomedical Engineering and a M.Sc. in Information Technology.

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