{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Infers and fills missing tensor shape information in ONNX model files, available as both a CLI tool and a Python library function.","skillfed_tags":["onnx-tools","model-processing","shape-inference"],"use_cases":["Repair ONNX models with incomplete shape information before deploying to inference engines like TensorRT or ONNX Runtime.","Debug shape mismatches in converted models (e.g., from PyTorch or TensorFlow) by inferring correct tensor dimensions.","Preprocess ONNX graphs in a model optimization pipeline to ensure shape metadata is complete before further transformations.","Validate ONNX model structure by checking whether shape inference succeeds without errors.","Integrate shape inference into automated model conversion workflows for consistent shape annotation."],"what_it_does":"ssi4onnx is a shape inference utility for ONNX models that automatically computes and fills in tensor dimension information that may be missing or incomplete. It works by analyzing the model graph structure and operator definitions to deduce output shapes from input specifications. The tool is useful when working with ONNX models that have been simplified, converted from other frameworks, or manually edited\u2014situations where shape metadata may be incomplete or incorrect.\n\nYou can use it either as a command-line tool (passing ONNX files in and out) or as a Python library function that accepts an ONNX ModelProto object directly. The library has no external runtime dependencies beyond ONNX itself, making it lightweight to integrate into model processing pipelines. It's part of a broader ONNX processing toolkit maintained by PINTO0309.","worth_installing":"Yes, if you work with ONNX models and need to repair or validate shape information. The package is lightweight (no runtime dependencies), permissively licensed, and solves a real problem in ONNX workflows. However, note that the project is dormant (last update 808 days ago), so expect no active maintenance or updates for recent ONNX features."},"id":"ssi4onnx","links":{"html":"https://skillfed.io/packages/ssi4onnx","md":"https://skillfed.io/packages/ssi4onnx.md","pypi":"https://pypi.org/project/ssi4onnx/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-05-28","license_spdx":null,"license_treatment":"permissive","name":"ssi4onnx","python_support":"supports_current","summary":"Simple Shape Inference tool for ONNX."},"popularity":{"monthly_downloads":82710,"position":14141,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.4"}