![Welcome to Intel® Extension for PyTorch* Documentation — intel_extension_for_pytorch 2.0.0+cpu documentation Welcome to Intel® Extension for PyTorch* Documentation — intel_extension_for_pytorch 2.0.0+cpu documentation](https://intel.github.io/intel-extension-for-pytorch/cpu/latest/_images/intel_extension_for_pytorch_structure.png)
Welcome to Intel® Extension for PyTorch* Documentation — intel_extension_for_pytorch 2.0.0+cpu documentation
![Setting up a C++ project in Visual Studio 2019 with LibTorch 1.6 | My Journey with Deep Learning and Computer Vision Setting up a C++ project in Visual Studio 2019 with LibTorch 1.6 | My Journey with Deep Learning and Computer Vision](https://expoundai.files.wordpress.com/2020/10/image-1.png)
Setting up a C++ project in Visual Studio 2019 with LibTorch 1.6 | My Journey with Deep Learning and Computer Vision
Comparison between CPU performance of PZnet, Tensorflow and PyTorch... | Download Scientific Diagram
![How Pytorch 2.0 Accelerates Deep Learning with Operator Fusion and CPU/GPU Code-Generation | by Shashank Prasanna | Apr, 2023 | Towards Data Science How Pytorch 2.0 Accelerates Deep Learning with Operator Fusion and CPU/GPU Code-Generation | by Shashank Prasanna | Apr, 2023 | Towards Data Science](https://miro.medium.com/v2/resize:fit:1003/1*m3hHjaqAY_Rqwcvgfg4IoQ.png)
How Pytorch 2.0 Accelerates Deep Learning with Operator Fusion and CPU/GPU Code-Generation | by Shashank Prasanna | Apr, 2023 | Towards Data Science
![Torch and Torchvision C++ installation and debugging on Linux | by Alexey Kravets | Towards Data Science Torch and Torchvision C++ installation and debugging on Linux | by Alexey Kravets | Towards Data Science](https://miro.medium.com/v2/resize:fit:825/1*sdG0loJNkXjq83kB6_BAVg.png)
Torch and Torchvision C++ installation and debugging on Linux | by Alexey Kravets | Towards Data Science
![Adrian Wälchli on Twitter: "Easy to miss in the @pytorch 2.0 release notes, they've added a small, but useful feature: torch.device, which previously just returned a device object, can now be used Adrian Wälchli on Twitter: "Easy to miss in the @pytorch 2.0 release notes, they've added a small, but useful feature: torch.device, which previously just returned a device object, can now be used](https://pbs.twimg.com/media/FrTKcjiX0AABHpW.jpg)
Adrian Wälchli on Twitter: "Easy to miss in the @pytorch 2.0 release notes, they've added a small, but useful feature: torch.device, which previously just returned a device object, can now be used
![Free Online Course: Inference with Torch-TensorRT Deep Learning Prediction for Beginners - CPU vs CUDA vs TensorRT from YouTube | Class Central Free Online Course: Inference with Torch-TensorRT Deep Learning Prediction for Beginners - CPU vs CUDA vs TensorRT from YouTube | Class Central](https://ccweb.imgix.net/https%3A%2F%2Fimg.youtube.com%2Fvi%2FiFADsRDJhDM%2Fhqdefault.jpg?ar=16%3A9&auto=format&cs=strip&fit=crop&h=380&ixlib=php-4.1.0&w=535&s=ebc93ec3a1a34ef5cdca3f1c3859c65c)