У нас вы можете посмотреть бесплатно Arm Tech Talk: Introducing a common operator set for Machine Learning accelerators – TOSA или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Register today for upcoming Arm Tech Talks: https://www.arm.com/techtalks Get ready for another one of our Arm Tech Talks! Every fortnight, we discuss and explore some of the latest trends, technologies and best practices in the world of AI, featuring partners from the AI Ecosystem as well as speakers across Arm. 00:00 Welcome and Intros 03:01 Talk Start 25:35 Q&A The machine learning (ML) world is evolving at a rapid pace across a wide range of frameworks and technologies. Each framework has its own set of operators and its own numerical behaviour. The lack of consistency and standardization within ML is a significant pain point for developers. It leads to unpredictable results, is a barrier to device portability and is often an impediment to cross product certification. Arm is leading the effort to provide standardization in the ML space with the introduction of TOSA (Tensor Operator Set Architecture). TOSA is a specification of basic ML operators. The specification details the precise code construction of each operator ensuring that TOSA compliant implementations are guaranteed to provide consistent results. Adhering to the TOSA standard dramatically reduces ML development, test and certification time. It also enables device portability and cloud first development for edge devices. During this talk you will get to know more about the TOSA specification, the benefits it provides to application developers, and how it can be utilized within your solution. This talk is part of the bi-weekly AI Virtual Tech Talk Series: https://www.arm.com/techtalks If you enjoyed this video, please subscribe to our channel and make sure to add us on Twitter so you can get a lot more content like this delivered straight to your feed! / armsoftwaredev