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inisis/OnnxSlim ★ 519 44 APPLICATION

OnnxSlim is a Python library and CLI tool for optimizing ONNX models through graph rewriting. It applies elimination of redundant operations (e.g., no-op reshapes, slices, unsqueezes) and fusion of common patterns (Conv+BN, Conv+Add, GELU, etc.), combined with dead node elimination and shape inference. The architecture is modular: a core optimization pipeline orchestrates pattern matchers, a shape inference engine, and a vendored onnx_graphsurgeon for graph manipulation. The tool is used in production by NVIDIA TensorRT-Model-Optimizer, HuggingFace Optimum, and Ultralytics, confirming its practical value. The codebase demonstrates strong engineering with comprehensive tests, a clean CLI, and a well-organized package structure.

RATING: 8.8/10 MAINT: active DRIFT: low
#onnx-optimization #model-slimming #graph-optimization #deep-learning #cli-tool #pattern-matching #shape-inference #onnx #onnxruntime #optimization
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