Posts tagged Computer Vision

Accelerate PyTorch Models using torch.compile on AMD GPUs with ROCm

PyTorch 2.0 introduces torch.compile(), a tool to vastly accelerate PyTorch code and models. By converting PyTorch code into highly optimized kernels, torch.compile delivers substantial performance improvements with minimal changes to the existing codebase. This feature allows for precise optimization of individual functions, entire modules, and complex training loops, providing a versatile and powerful tool for enhancing computational efficiency.

Read more ...


Segment Anything with AMD GPUs

4 Jun, 2024 by Sean Song.

Read more ...


Panoptic segmentation and instance segmentation with Detectron2 on AMD GPUs

23, May 2024 by Vara Lakshmi Bayanagari.

Read more ...


Unlocking Vision-Text Dual-Encoding: Multi-GPU Training of a CLIP-Like Model

24 Apr, 2024 by Sean Song.

Read more ...


Speech-to-Text on an AMD GPU with Whisper

16 Apr, 2024 by Clint Greene.

Read more ...


Interacting with Contrastive Language-Image Pre-Training (CLIP) model on AMD GPU

16, Apr 2024 by Sean Song.

Read more ...


ResNet for image classification using AMD GPUs

9 Apr, 2024 by Logan Grado.

Read more ...


Total body segmentation using MONAI Deploy on an AMD GPU

4, Apr 2024 by Vara Lakshmi Bayanagari.

Read more ...


Image classification using Vision Transformer with AMD GPUs

4 Apr, 2024 by Eliot Li.

Read more ...


Building semantic search with SentenceTransformers on AMD

4 Apr, 2024 by Fabricio Flores.

Read more ...