#DevtoPytorch

Test-time augmentation gets dismissed as a Kaggle hack, so I priced it properly: ten paired seeds, four view sets, clean GPU timings.

AWS open-sources TorchNeuron on October 20: Trainium becomes a normal PyTorch device. The beta wants static shapes, pinned versions and PyTorch 2.14.

TorchTPU is Google’s open-source project for running PyTorch applications on its Tensor Processing Units without rewriting application code. Announced on 2

Google's new PyTorch porting tool competes on migration cost rather than FLOPS, and that shifts how teams should evaluate non-Nvidia...

TorchTPU runs PyTorch on TPUs via device='tpu'. PyTorch/XLA is deprecated, its repo archived Nov 15. What to port, and what to check first.

Learn how to build a PyTorch image classifier, store model artifacts in Amazon S3, and move toward managed machine learning training and deployment with Amazon SageMaker AI.

Originally published on The Daily Flare. Key takeaways Google introduced TorchTPU to make its AI...

A PyTorch model can be portable in the way a recipe is portable: the ingredients and steps look...

A bf16 residual near 600 has a resolution of 4, so small updates vanish. Measured gaps, a reproducible simulation and fixes for long training runs.

A month ago EMA's tutorial default lost me three points and the tuned value earned a cosmetic +0.08, so I did what this blog now does to

KerasHub expects 11 of its models to fail LiteRT (TFLite) export. All 11 in one table, the five traps they fall into, and what to write instead.