How To Set Up and Run Cuda Operations In PyTorch

Introduction

The advent of deep learning in recent years created a demand for computing resources and acceleration of workloads. Various operations involved in deep learning, such as matrix multiplications, tiling of the images, and processing chunks of voice samples, can be parallelized for better performance and accelerating the development of Machine learning models. Thus, many deep learning libraries like TensorFlow and Pytorch provide users with a set of functions or APIs to take advantage of their GPUs. CUDA Is one …

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