tensor-compute 1.0.0

High-performance tensor computation engine with Rust native extensions

tensor-compute

A high-performance tensor computation library with Rust-based native extensions for Python.

tensor-compute compiles platform-specific native modules during installation to provide optimized tensor operations for scientific computing and machine learning workloads.

Features

• ✅ Native Rust Extensions - Platform-optimized compilation during install
• ✅ Automatic Platform Detection - OS, architecture, Python version
• ✅ SIMD Optimization - Vectorized operations when available
• ✅ Cross-Platform - Windows, macOS, Linux support
• ✅ Type Hints - Full type annotation support

Installation

pip install tensor-compute

Native extensions compile automatically during installation.

Quick Start

import tensor_compute as tc

status = tc.get_status()
tensor = tc.create_tensor((3, 4))

License

MIT License

Copyright (c) 2026 Bob Smith

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.