Shypd.aiThe largest open index of AI toolsPaddle-Lite is a high-performance, lightweight deep learning inference engine for mobile and edge devices. It supports multiple hardware platforms and languages, enabling efficient model deployment.
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Paddle-Lite is a high-performance, lightweight, flexible, and extensible deep learning inference framework designed for mobile, embedded, and edge hardware platforms. It is widely used within Baidu and by external users for production tasks. The framework supports models from PaddlePaddle, and offers an X2Paddle tool for converting models from other frameworks like Caffe, Tensorflow, and PyTorch. Key features include model optimization techniques such as quantization, subgraph fusion, and kernel selection, which result in lighter, faster, and more resource-efficient models. Paddle-Lite provides pre-compiled libraries for various platforms (Android, iOS, x86, macOS) and supports compilation from source. It offers C++, Java, and Python APIs with comprehensive examples for integration into diverse projects.
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