January 2026: Delivered key QNN EP enhancements to CodeLinaro/onnxruntime that improve device selection, broaden model compatibility, and boost GPU backend support. Implemented default device behavior, added Pad op support for pre-opset11, enabled Softmax layout transformation for GPUs, and introduced an alternate LayerNorm fusion pattern in preprocess. These changes improve stability, performance, and deployment scenarios across diverse hardware, delivering tangible business value for end-to-end DL model execution.

2025-12 monthly summary for ROCm/onnxruntime focusing on key bug fix delivering cross-backend padding consistency and validation improvements. The month centered on stabilizing zero padding behavior across backends and reducing model-runtime surprises, enabling smoother deployments.

Month: 2025-09 | Repository: CodeLinaro/onnxruntime. Focused feature delivery in QNN: FP16 Expand support and GPU backend, with multi-device handling and GPU preference. Implemented translation of FP16 Expand op and extended QNN Execution Provider factory to include GPU support, accompanied by cross-device tests for CPU and GPU backends. No major bugs reported during this period.