torchquery 2.1.1

High-performance SDC detection and neural healing for billion-scale tensors.

TorchQuery 🛡️

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TorchQuery is a high-performance reliability engine for PyTorch. It provides a "Neural Shield" against Silent Data Corruption (SDC), hardware bit-flips, and numerical instability in massive Deep Learning models.

🚀 Key Features

• Billion-Scale Protection: Optimized streaming logic designed to handle tensors with $10^9$ elements without crashing.
• Neural Healing: Automatically detects and repairs corrupted weights or neurons using statistical outlier detection ($\sigma$-clamping).
• Distributed SyncBatch: Cluster-aware protection using All-Reduce to ensure safety across multi-GPU and multi-server environments.
• Zero-Invasive: Simply wrap your existing tensors or model parameters; no architecture changes required.

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📦 Installation

pip install torchquery