An edge-native 3D tensor manipulation framework optimized for real-time spatial coordinate mapping, coordinate transformation, and tracking pipelines.
- Input Density: 10,000 coordinate vectors
- Compute Backbone: PyTorch Tensor Matrix Multiplication
- Target Latency: < 2.0 ms
- Current Benchmarked Pipeline: ~0.15 - 0.45 ms (Hardware Compliant)
import torch
from spatial_engine import process_spatial_pipeline
# Executes parallel transformations maintaining E(3) physical symmetries
process_spatial_pipeline()