Dynamic Neural Networks: Tape-Based AutogradĪt 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.Our trunk health (Continuous Integration signals) can be found at. You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed. Deep neural networks built on a tape-based autograd system.Tensor computation (like NumPy) with strong GPU acceleration.PyTorch is a Python package that provides two high-level features:
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |