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PyTorch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration.
PyTorch is a very fast library, using all possibilities of computer CPU and CUDA on GPU. Therefore, it is very important to install proper configuration of this library. It is possible to install PyTorch with Conda or PIP.
PyTorch installation for Linux
Or if you prefer to use PIP, you can do the same with PIP
PyTorch installation for Windows
For Windows it is a bit more complicated. CUDA-10.2 PyTorch builds are no longer available for Windows, please use CUDA-11.3
Access to GPU
GPU is much faster than CPU for tensor calculations, but it is not always available. Therefore, it is better to write program, which can work with GPU and CPU. This can be done by assigning calculations on different devices.
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