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Certainly! Installing PyTorch on Windows using pip involves a few steps, but it can be done easily. Here's a step-by-step tutorial with code examples:
Make sure you have Python installed on your Windows machine. You can download the latest version of Python from the official website: Python Downloads
Pip is a package manager for Python. If you're using a recent version of Python, pip should be included by default. To check if pip is installed, open a command prompt and run:
If it's not installed, you can install it by following the instructions on the official pip website.
Open a command prompt and run the following command to install PyTorch using pip. Make sure to choose the appropriate version based on your system and requirements. You can find the latest version on the official PyTorch website:
This example installs the CPU version of PyTorch. If you have a GPU and want to install the GPU version, you can modify the command accordingly. Replace cpu with cu111 for CUDA 11.1, or choose the appropriate version for your CUDA toolkit.
To verify that PyTorch is installed successfully, open a Python interactive shell or a script and run the following:
If the installation is successful, you should see the PyTorch version number and information about GPU availability (if applicable).
That's it! You have successfully installed PyTorch on Windows using pip. Now you can start using PyTorch for deep learning projects.
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