NOTE: These examples have been update for PyTorch 0.4, which made several major changes to the core PyTorch API. Most notably, prior to 0.4 Tensors had to be wrapped in Variable objects to use ...

For example, if you installed Anaconda at C:\Users\<user>\Anaconda3\ then the PyTorch files will be placed in the Lib\site-packages\torch\ subdirectory. To verify that PyTorch has been installed ...

The JIT compilation mechanism provides you with a way of compiling and loading your extensions on the fly by calling a simple function in PyTorch’s API called torch.utils.cpp_extension.load(). The ...

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high-level ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business of ...