mistralrs::layers

Struct Sdpa

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pub struct Sdpa;

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impl Sdpa

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pub fn run_attention( &self, q: &Tensor, k: &Tensor, v: &Tensor, mask: Option<&Tensor>, flash_params: Option<&FlashParams>, sdpa_params: &SdpaParams, ) -> Result<Tensor, Error>

Computes softmax(QK^T*sqrt(d_k))V

Inputs:

  • q: (b_sz, n_attn_heads, q_len, head_dim)
  • k: (b_sz, n_kv_heads, q_len, head_dim)
  • v: (b_sz, n_kv_heads, q_len, head_dim)

The attention implementation is dispatched as follows:

  1. If use_flash_attn == true, use a flash attention V2 kernel
  2. If using CUDA and the cuBLASLt kernel is initialized, then it will use an optimized version.
  3. Otherwise, use the “naive” SDPA implementation.

Auto Trait Implementations§

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impl Freeze for Sdpa

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impl RefUnwindSafe for Sdpa

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impl Send for Sdpa

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impl Sync for Sdpa

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impl Unpin for Sdpa

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impl UnwindSafe for Sdpa

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