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What is relay? 


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A relay is a crucial component in various fields, including deep learning and telecommunication. In the realm of deep learning, Relay is a compiler framework that offers a functional, statically typed intermediate representation (IR) to optimize and express cutting-edge models across diverse hardware platforms . On the other hand, in telecommunication, relay technology serves as a service station for wireless signals between a source and destination, enhancing network reliability and quality of service without significant costs . Additionally, relay networks are prevalent in communication systems, where intermediate nodes facilitate data transmission between distant source and destination points, often employing network coding for data integrity and security . These diverse applications highlight the importance of relays in optimizing performance, ensuring reliability, and enabling efficient data transmission across various domains.

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Relay is a high-level compiler framework for deep learning that offers an expressive, statically typed intermediate representation to optimize and compile state-of-the-art models for various hardware platforms.
Relay is a new high-level intermediate representation (IR) for machine learning frameworks, designed to balance efficient compilation, expressiveness, and portability within the NNVM compiler framework.
A relay in multi-carrier systems acts as a service station for wireless signals between source and destination, enhancing network reliability and quality of service without significant cost.
Relay is a new high-level intermediate representation (IR) for machine learning frameworks, designed to balance efficiency, expressiveness, and portability within the NNVM compiler framework.

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