Bringing Visual Graph Debugging to Custom Edge Compilers with Model Explorer- Google Developers Blog
Oct 20, 2026Eric Yang, Alan Ma

Summary
Arm integrated custom compiler Intermediate Representations (IRs) like TOSA, VGF, and PTE into Google AI Edge Model Explorer. This enables visual debugging of on-device ML model pipelines, including validation of exported graphs (e.g., catching unintended TRANSPOSE operators in VGF), side-by-side comparison of CPU vs. NPU delegation using split-pane view for models like Ultralytics YOLO, and pinpointing cycle-level bottlenecks by overlaying execution traces onto the graph.
More from the Coral Edge AI Platform trail
- Unifying Edge AI: How Coral NPU’s open standard brings portable, energy-viable intelligence from model to silicon- Google Developers Blog
- Native Model Authoring for Edge with LiteRT Tensor API- Google Developers Blog
- ML Drift: Next-Gen GPU AI/ML Inference at the Edge- Google Developers Blog
- Bring multimodal semantic search to the edge with EmbeddingGemma 2- Google Developers Blog
- EmbeddingGemma 2: The Developer Guide- Google Developers Blog