{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/9"}],"enrichment":{"capability":"TOSA Tools provides serialization, reference implementation, and optional MLIR translation for the Tensor Operator Set Architecture specification, enabling you to read, write, and work with TOSA graphs and operators.","skillfed_tags":["tensor-ir","mlir","compiler-tools"],"use_cases":["Serialize and deserialize TOSA operator graphs for interchange between ML frameworks and compiler backends","Validate TOSA operator implementations using the reference model against specification compliance","Translate TOSA MLIR dialect representations to and from flatbuffer serialized forms in compiler pipelines","Integrate TOSA support into custom ML compiler toolchains requiring standardized operator semantics","Test and debug TOSA graph transformations and optimizations before deployment"],"what_it_does":"TOSA Tools is a composite toolkit implementing the Tensor Operator Set Architecture specification from Arm. It bundles three main components: a reference implementation of TOSA operators, serialization methods for reading and writing TOSA graphs in flatbuffer format, and an optional MLIR translator that converts between TOSA's MLIR dialect and serialized representations. The package is published on PyPI and installs as prebuilt wheels for supported platforms, or can be built from source with a C/C++ toolchain.\n\nThe toolkit is designed for developers working with TOSA-based machine learning workflows\u2014particularly those integrating TOSA into compiler toolchains, validating operator implementations, or translating between different IR representations. It depends on numpy, flatbuffers, jsonschema, ml-dtypes, and semver for core functionality, and optionally integrates with LLVM/MLIR for translation tasks.","worth_installing":"Yes, if you are working with TOSA in a compiler, ML framework, or operator validation context. The package is actively maintained, permissively licensed, supports current Python versions, and has no known vulnerabilities. Install friction is moderate due to native compilation, but prebuilt wheels are available for common platforms. Not necessary for general ML work outside the TOSA ecosystem."},"id":"tosa-tools","links":{"html":"https://skillfed.io/packages/tosa-tools","md":"https://skillfed.io/packages/tosa-tools.md","pypi":"https://pypi.org/project/tosa-tools/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-21","license_spdx":null,"license_treatment":"permissive","name":"tosa-tools","python_support":"supports_current","summary":"TOSA Tools: serialization library, reference model, optional MLIR translator"},"popularity":{"monthly_downloads":133525,"position":11510,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.5.0"}