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Update pytorch-compatibility.rst
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@@ -421,6 +421,17 @@ Key features and enhancements for PyTorch 2.9 with ROCm 7.1.1
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- Added stream graph capture status validation in memory copy synchronization functions
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Key features and enhancements for PyTorch 2.8 with ROCm 7.1
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================================================================================
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- MIOpen deep learning optimizations: Further optimized NHWC BatchNorm feature.
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- Added float8 support for the DeepSpeed extension, allowing for decreased
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memory footprint and increased throughput in training and inference workloads.
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- ``torch.nn.functional.scaled_dot_product_attention`` now calling optimized
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flash attention kernel automatically.
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Key features and enhancements for PyTorch 2.7/2.8 with ROCm 7.0
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================================================================================
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