Posts by Sean Song
Accelerate PyTorch Models using torch.compile on AMD GPUs with ROCm
- 11 July 2024
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.
Mamba on AMD GPUs with ROCm
- 28 June 2024
28, Jun 2024 by Sean Song, Jassani Adeem, Moskvichev Arseny.
Unlocking Vision-Text Dual-Encoding: Multi-GPU Training of a CLIP-Like Model
- 24 April 2024
24 Apr, 2024 by Sean Song.
Interacting with Contrastive Language-Image Pre-Training (CLIP) model on AMD GPU
- 16 April 2024
16, Apr 2024 by Sean Song.
Enhancing LLM Accessibility: A Deep Dive into QLoRA Through Fine-tuning Llama 2 on a single AMD GPU
- 15 April 2024
15, Apr 2024 by Sean Song.
Using LoRA for efficient fine-tuning: Fundamental principles
- 05 February 2024
5, Feb 2024 by Sean Song.
Fine-tune Llama 2 with LoRA: Customizing a large language model for question-answering
- 01 February 2024
1, Feb 2024 by Sean Song.