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Torch/en: Difference between revisions
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"[http://torch.ch/ Torch] is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation." | "[http://torch.ch/ Torch] is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation." | ||
Torch has a distant relationship to PyTorch.<ref>See https://stackoverflow.com/questions/44371560/what-is-the-relationship-between-pytorch-and-torch, https://www.quora.com/What-are-the-differences-between-Torch-and-Pytorch, and https://discuss.pytorch.org/t/torch-autograd-vs-pytorch-autograd/1671/4 for some attempts to explain the connection.</ref> PyTorch provides a [[Python]] interface to similar | Torch has a distant relationship to PyTorch.<ref>See https://stackoverflow.com/questions/44371560/what-is-the-relationship-between-pytorch-and-torch, https://www.quora.com/What-are-the-differences-between-Torch-and-Pytorch, and https://discuss.pytorch.org/t/torch-autograd-vs-pytorch-autograd/1671/4 for some attempts to explain the connection.</ref> PyTorch provides a [[Python]] interface to software with similar functionality, but PyTorch is not dependent on Torch. See [[PyTorch]] for instructions on using it. | ||
Torch depends on [[CUDA]]. In order to use Torch you must first load a CUDA module, like so: | Torch depends on [[CUDA]]. In order to use Torch you must first load a CUDA module, like so: | ||