PyTorch Developer Podcast
Edward Yang, Team PyTorchThe 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.
| Publishes | Daily | Episodes | 83 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Category | Technology | ||||
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Latest Episodes
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... more
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.
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... more
The post-grad FX passes in Inductor run after AOTAutograd has functionalized and normalized the input program into separate forward/backward graphs. As such, they generally can assume that the graph in question is functionalized, except for some muta... more
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Reviews
- Amazing
Loved every episode
Apple Podcasts5poringking
United States3 years ago - Amazing Podcast
Very informative, well presented, and brief. This podcast gives amazing insights into PyTorch and its development process. I cannot recommend the podcast enough :)
Apple Podcasts5Lukas-s
Germany3 years ago
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Apple Podcasts | #92 |  Spain/Technology |
Apple Podcasts | #147 |  Russia/Technology |
Apple Podcasts | #181 |  Argentina/Technology |
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PyTorch Developer Podcast launched 4 years ago and published 83 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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