Torch7
Convert Torch7 neural network models to Apple CoreML format for deployment on iOS/macOS devices.
What is Torch7?
Torch2CoreML is a Python library that converts Torch7 neural network models into Apple CoreML format. It solves the problem of deploying PyTorch/Torch7-trained models to Apple devices by providing a conversion pipeline that handles common Torch7 layers and preprocessing requirements. The tool enables developers to run converted models natively on iOS and macOS applications.
Machine learning engineers and iOS developers who need to deploy Torch7/PyTorch models to Apple devices, particularly those working with neural style transfer, image processing, or other computer vision applications.
Developers choose Torch2CoreML because it provides a specialized, focused solution for converting Torch7 models to CoreML with support for 21 common layers and image preprocessing parameters. Unlike generic conversion tools, it specifically addresses the Torch7-to-CoreML workflow with a simple API and practical examples.
Overview
Torch7 -> CoreML
Use Cases
Best For
- Converting Torch7 style transfer models for iOS apps
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