PyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration; Deep neural networks built ... Pytorch · CONTRIBUTING.md · Release Notes · Issues
These are the basic building blocks for graphs: torch.nn Containers, Global Hooks, For Module, Convolution Layers, Pooling layers, Padding Layers, Non-linear ... Torch.nn.functional · Torch.nn.attention · Linear · Conv2d
Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable ... PyTorch 2.x · Previous PyTorch Versions · Welcome to PyTorch Tutorials · Ten
Get Started. Run PyTorch locally or get started quickly with one of the supported cloud platforms · Tutorials. Whats new in PyTorch tutorials. What is torch.nn really? · Get Started · PyTorch 2.6 Release Blog · Learn the Basics
PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Features described in this documentation are classified by release status. Torch · Torch.nn · torch.Tensor · Torch.cuda
torch.manual_seed. torch.manual_seed(seed)[source][source]. Sets the seed for generating random numbers on all devices. Returns a torch.Generator object.
You are here because you want to use torch.compile to make your PyTorch model run faster. torch.compile is a complex and relatively new piece of software.
