![]() 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 Dynamic Neural Networks: Tape-Based Autograd. ![]() You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
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