Webtorch.multiprocessing is a wrapper around the native multiprocessing module. It registers custom reducers, that use shared memory to provide shared views on the same data in different processes. Once the tensor/storage is moved to shared_memory (see share_memory_ () ), it will be possible to send it to other processes without making any … Webdue to enabling advancements in processing hardware [7]. Self-organisation and the exploitation of interactions between small units have proven to perform better than central control, particularly for complex non-linear process models in that better fault tolerance and adaptability to new data is achievable [7]. 2.2 Advantages of Deep Learning

Polygon Mesh Processing Library: Introduction

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Continual learning of context-dependent processing in neural ... - Nature

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