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Change the attention backend parameter to cuda for improved performance and compatibility with CUDA-enabled hardware.

Switches the flash attention backend parameter from "flex" to "cuda" to improve performance and compatibility with CUDA-enabled hardware acceleration.
Copilot AI review requested due to automatic review settings August 29, 2025 08:25
@LoserCheems LoserCheems merged commit bda4d27 into main Aug 29, 2025
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Pull Request Overview

This PR switches the attention backend from "flex" to "cuda" in the modeling implementation to improve performance and ensure compatibility with CUDA-enabled hardware.

  • Changes the backend parameter from "flex" to "cuda" in the flash attention function call

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attention_interface: Callable = flash_dmattn_func_auto(backend="flex")
attention_interface: Callable = flash_dmattn_func_auto(backend="cuda")
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Copilot AI Aug 29, 2025

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The flash_dmattn_func_auto function raises an ImportError regardless of the backend parameter, as shown in the context. This change will not have any functional effect since the function always fails. The underlying flash_dmattn dependency needs to be properly installed and the function implementation needs to be updated to actually use the backend parameter.

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@LoserCheems LoserCheems deleted the add-sanitize-tensors branch November 13, 2025 04:41
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