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Certainly! Conda is a popular package manager for Python that simplifies the process of installing and managing software packages. PyTorch is a widely used open-source machine learning library for Python. Here's a step-by-step tutorial on how to install PyTorch using Conda on macOS, along with code examples:
If you haven't installed Conda on your macOS, you can download and install Miniconda, a minimal Conda installer, from the official website: Miniconda.
Follow the installation instructions for your operating system.
Once Conda is installed, open your terminal.
Create a new Conda environment to isolate your PyTorch installation. You can choose any name for your environment. Here, we'll call it "pytorch_env":
Activate the environment:
Now, you can use Conda to install PyTorch. Specify the appropriate version and other dependencies based on your requirements. Here, we'll install the latest stable version of PyTorch:
This command installs PyTorch along with torchvision and torchaudio from the official PyTorch channel.
Once the installation is complete, you can verify if PyTorch is installed successfully by launching a Python interpreter:
In the Python interpreter, import PyTorch:
This should print the installed PyTorch version.
After you have finished working with PyTorch, you can deactivate the Conda environment:
Congratulations! You have successfully installed PyTorch using Conda on your macOS. Conda makes it easy to manage dependencies and ensures a smooth installation process.
Feel free to adapt the tutorial based on your specific requirements or use different versions of PyTorch and its components.
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