How TorchDynamo Works: New Compilation Features in PyTorch

How TorchDynamo Works: New Compilation Features in PyTorch

Source: DeepHub IMBA This article is about 4900 words long and is recommended for a reading time of over 10 minutes. Whether running on high-performance GPUs or edge devices, TorchDynamo adapts to provide optimal performance. Optimizing model performance is crucial in deep learning, especially for applications that require fast execution and real-time inference. However, PyTorch … Read more

Tips for Upgrading to PyTorch 2.0

Tips for Upgrading to PyTorch 2.0

Source: DeepHub IMBA This article is about 6400 words long and is recommended for a 12-minute read. In this article, we will demonstrate the use of new features in PyTorch 2.0 and highlight some issues you might encounter when using it. It has been some time since the release of PyTorch 2.0. Have you started … Read more