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PyTorch under the hood - Christian S. Perone (2019)
TENSORS JIT PRODUCTION Q&A
Agenda
TENSORS
Tensors
Python objects
Zero-copy
Tensor storage
Memory allocators (CPU/GPU)
The big picture
JIT
Just-in-time compiler
Tracing
Scripting
Why TorchScript ?
Building IR and JIT Phases
Optimizations
Serialization
Using models in other languages
PRODUCTION
Some tips
Q&A
PyTorch under the hood - Christian S. Perone (2019)
TENSORS JIT PRODUCTION Q&A
WHO AM I
É
Christian S. Perone
É
14 years working with Machine
Learning, Data Science and Software
Engineering in industry R&D
É
Blog at
É
blog.christianperone.com
É
Open-source projects at
É
https://github.com/perone
É
Twitter @tarantulae
PyTorch under the hood - Christian S. Perone (2019)
TENSORS JIT PRODUCTION Q&A
DISCLAIMER
É
PyTorch is a moving target, Deep Learning ecosystem moves
fast and big changes happens every week;
É
This is not a talk to teach you the basics of PyTorch or how to
train your network, but to teach you how PyTorch
components works under the hood in a intuitive way;
É
This talk is updated to the PyTorch v.1.0.1 version;
PyTorch under the hood - Christian S. Perone (2019)
TENSORS JIT PRODUCTION Q&A
DISCLAIMER
É
PyTorch is a moving target, Deep Learning ecosystem moves
fast and big changes happens every week;
É
This is not a talk to teach you the basics of PyTorch or how to
train your network, but to teach you how PyTorch
components works under the hood in a intuitive way;
É
This talk is updated to the PyTorch v.1.0.1 version;
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- shandongwill2024-03-09讲解 PyTorch 内部机制 #内容详尽
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