Strange Loop

Next: September 12-14 2019

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Stifel Theatre

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St. Louis, MO

PyTorch: Fast Differentiable Dynamic Graphs in Python with a Tensor JIT compiler

In this talk, we will be discussing PyTorch: a deep learning framework that has fast neural networks that are dynamic in nature.
PyTorch is written in a mix of Python and C/C++ and is targeted for very high performance using GPUs and CPUs. We'll be discussing the design and challenges of PyTorch, as well as the need for the dynamic nature because of new-age AI research. We will also be talking about a Tensor compiler that powers PyTorch, which fuses operations on the fly to make them faster.

Soumith Chintala

Facebook

Soumith is a Research Engineer at Facebook AI Research. He works on high performance deep learning.