PyTorch Lightning Developer Blog

PyTorch Lightning Developer Blog

Skaftenicki

TorchMetrics v0.11 — Multimodal and nominal

We are happy to announce that Torchmetrics v0.11 is now publicly available. In Torchmetrics v0.11 we have primarily focused on cleanup of…

5 min readDec 5, 2022

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TorchMetrics v0.11 — Multimodal and nominal

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Sean Narenthiran

Lightning Transformers 0.2 — New 🤗Tasks, Community Features and Big Model Training & Inference

Pairing 🤗 Transformers and Lightning has become increasingly popular, leveraging Lightning to hide away the boilerplate of your training…

3 min readNov 29, 2022

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Lightning Transformers 0.2 — New 🤗Tasks, Community Features and Big Model Training & Inference

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Skaftenicki

TorchMetrics v0.10 — Large changes to classifications

TorchMetrics v0.10 is now out, and it brings significant and future breaking changes to the hole classification package. This blog post…

7 min readOct 17, 2022

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TorchMetrics v0.10 — Large changes to classifications

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Skaftenicki

TorchMetrics v0.9 — Faster forward

V0.9 of TorchMetrics is now out and it brings important changes to how forward works. This blogpost goes over the improvements we have…

5 min readMay 31, 2022

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TorchMetrics v0.9 — Faster forward

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Sunil Srinivasa

Turbocharge Multi-Agent Reinforcement Learning with WarpDrive and PyTorch Lightning

Authors: Sunil Srinivasa, Tian Lan, Huan Wang, Stephan Zheng, and Donald Rose

8 min readMay 20, 2022

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Turbocharge Multi-Agent Reinforcement Learning with WarpDrive and PyTorch Lightning

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Carlos Mocholí

PyTorch Lightning 1.6

Support Intel’s Habana Accelerator, New efficient DDP strategy (Bagua), Manual Fault-tolerance, Stability and Reliability.

7 min readMay 10, 2022

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PyTorch Lightning 1.6

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Kaushik Bokka

Supercharge your training with zero code changes using Intel’s Habana Accelerator ⚡️

We recently added support for Habana’s Gaudi AI Processors, which can be used to accelerate deep learning training workloads.

4 min readMay 5, 2022

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Supercharge your training with zero code changes using Intel’s Habana Accelerator ⚡️

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PyTorch Lightning team

Experiment with Billion-Parameter Models Faster using DeepSpeed and Meta Tensors

PyTorch’s Meta Tensors can save you huge amounts of time. PyTorch Lightning, together with DeepSpeed and just a single line of code, allows…

4 min readApr 19, 2022

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Experiment with Billion-Parameter Models Faster using DeepSpeed and Meta Tensors

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Skaftenicki

Torchmetrics v0.8 — Paper, Faster collection and more metrics

We are excited to announce that Torchmetrics v0.8 is now available. The release includes a number of new metrics in the classification and…

5 min readApr 14, 2022

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Torchmetrics v0.8 — Paper, Faster collection and more metrics

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Carlos Mocholí

Bagua: A new, efficient, distributed training strategy available in PyTorch Lightning 1.6

Support for a new distributed training strategy in collaboration with the Bagua team.

3 min readApr 12, 2022

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Bagua: A new, efficient, distributed training strategy available in PyTorch Lightning 1.6

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PyTorch Lightning is a lightweight machine learning framework that handles most of the engineering work, leaving you to focus on the science. Check it out: pytorchlightning.ai
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Editors
Aaron (Ari) Bornstein
<Microsoft Open Source Engineer> I am an AI enthusiast with a passion for engaging with new technologies, history, and computational medicine.
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Thomas Chaton
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イルカ Borovec
I have been working in ML and DS for a while in a few IT companies. I enjoy exploring interesting world problems and solving them with SOTA techniques…
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