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Title: Installing ROCm and PyTorch on Linux with pip
This tutorial will guide you through the process of installing the Radeon Open Compute (ROCm) platform and PyTorch on a Linux system using the pip package manager. ROCm is an open-source software platform for GPU-accelerated computing, and PyTorch is a popular deep learning framework.
Before you begin, ensure that you have:
To install ROCm, follow these steps:
Open a terminal window.
Add the ROCm repository:
Install the ROCm packages:
Reboot your system:
After rebooting, check if ROCm is correctly installed:
To verify the installation, run:
Now that ROCm is installed, let's proceed to install PyTorch with ROCm support:
Open a terminal window.
Create a virtual environment (optional but recommended):
Install the required dependencies:
Install PyTorch with ROCm support using pip:
Replace desired_version with the version you want to install.
Verify the installation by launching a Python interpreter:
If the output is True, PyTorch with ROCm support is successfully installed.
To deactivate the virtual environment (if created), run:
Congratulations! You have successfully installed ROCm and PyTorch with ROCm support on your Linux system. You can now start developing deep learning applications with PyTorch using your AMD GPU.
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