If you’ve peered into previous Tensor chipsets, a fair amount of the Tensor G4 will be familiar. It’s powered by Arm CPU and GPU cores, and is manufactured using one of Samsung’s 4nm processes. It is ...

Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...

New computational techniques, 'HighLight' and 'Tailors and Swiftiles,' could dramatically boost the speed and performance of high-performance computing applications like graph analytics or generative ...

. . . Tensor t1 is created by first generating a NumPy array named a1 and then passing the array to the tensor () constructor. The two most common data types used by PyTorch are float32 and int64.