Accelerating PyTorch Models: Inside torch.compile’s Kernel Optimization
Explore how torch.compile accelerates PyTorch models through kernel optimization. This article visualizes PyTorch kernel structures and their file mappings.
Explore technical articles related to deep learning. Find in-depth analysis, tutorials, and insights.
Explore how torch.compile accelerates PyTorch models through kernel optimization. This article visualizes PyTorch kernel structures and their file mappings.
Learn why PyTorch throws the "view size is not compatible" error, understand tensor memory layout, and discover optimal solutions with performance benchmarks.
A detailed visualization of the file structure of GGML files, including the mapping of blocks to their corresponding positions in the file.
Dive deep into Kernel Fusion, a technique that combines multiple neural network operations into unified kernels improving performance in deep learning models.
YOLOv5 Simplified: A Beginner's Visual Guide to Understanding Each Step of the YOLOv5 Model Architecture where we will be visualizing the YOLOv5 model architecture and its components.