![]() ![]() If you use NumPy, then you have used Tensors (a.k.a. A deep learning research platform that provides maximum flexibility and speed.Įlaborating Further: A GPU-Ready Tensor Library.A replacement for NumPy to use the power of GPUs. ![]() Useful for data loading and Hogwild trainingĭataLoader and other utility functions for convenience Python multiprocessing, but with magical memory sharing of torch Tensors across processes. More About PyTorchĪt a granular level, PyTorch is a library that consists of the following components: ComponentĪ Tensor library like NumPy, with strong GPU supportĪ tape-based automatic differentiation library that supports all differentiable Tensor operations in torchĪ compilation stack (TorchScript) to create serializable and optimizable models from PyTorch codeĪ neural networks library deeply integrated with autograd designed for maximum flexibility
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