The PyTorch Developer Podcast is a place for the PyTorch dev team to do bite sized (10-20 min) topics about all sorts of internal development topics in PyTorch.
PyTorch Developer Podcast
Claim This Podcastby Edward Yang, Team PyTorch
4.9(121 reviews)
83 episodes
Updated Weekly
Accepts GuestsHas Sponsors
Podcast Overview
The PyTorch Developer Podcast is a place for the PyTorch dev team to do bite sized (10-20 min) topics about all sorts of internal development topics in PyTorch.
Language
🇺🇲
Publishing Since
5/4/2021
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Recent Episodes
August 4, 2024
Compiler collectives
<p>Compiler collectives are a PT2 feature where by compiler instances across multiple ranks use NCCL collectives to communicate information to other instances. This is used to ensure we consistently decide if inputs or static or dynamic across all ranks. See also PR at <a href="https://github.com/pytorch/pytorch/pull/130935">https://github.com/pytorch/pytorch/pull/130935</a></p>
April 29, 2024
TORCH_TRACE and tlparse
TORCH_TRACE and tlparse are a structured log and log parser for PyTorch 2. It gives useful information about what code was compiled and what the intermediate build products look like.
April 21, 2024
Higher order operators
Higher order operators are a special form of operators in torch.ops which have relaxed input argument requirements: in particular, they can accept any form of argument, including Python callables. Their name is based off of their most common use case, which is to represent higher order functions like control flow operators. However, they are also used to implement other variants of basic operators and can also be used to smuggle in Python data that is quite unusual. They are implemented using a Python dispatcher.
83 total episodes available
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Frequently asked questions
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- How often does this podcast release new episodes?
This podcast updates weekly.
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Yes, this podcast regularly features guests.
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