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# Framework Compatibility
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Pull content from
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<https://docs.amd.com/bundle/ROCm-Deep-Learning-Guide-v5.4.1/page/Prerequisites.html>.
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Only the frameworks content. Link to kernel/user space guide.
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The ROCm release supports the most recent and two prior releases of PyTorch and TensorFlow.
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Also pull content from
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<https://docs.amd.com/bundle/ROCm-Compatible-Frameworks-Release-Notes/page/Framework_Release_Notes.html>
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Legends:
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Blue: Shows compatibility tested versions
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Gray: Not tested
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## Supported Frameworks
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This section contains the latest release notes for each framework compatible with ROCm™ and Deep Learning (DL) applications.
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The ROCm 5.4 platform supports the following frameworks:
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• PyTorch v1.12.1
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• MAGMA v2.5.4
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• TensorFlow v2.10.0
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### PyTorch
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For the latest release of PyTorch, refer to <a href="https://github.com/pytorch/pytorch/releases/" target="_blank">https://github.com/pytorch/pytorch/releases/</a>
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### MAGMA
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For the latest release of MAGMA, refer to <a href="https://icl.utk.edu/magma/index.html" target="_blank">https://icl.utk.edu/magma/index.html</a>
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### TensorFlow
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For the latest release of TensorFlow, refer to <a href="https://github.com/tensorflow/tensorflow/releases/" target="_blank">https://github.com/tensorflow/tensorflow/releases</a>
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