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@@ -55,7 +55,7 @@ Therefore, we also provide the FP32 version of the RoPE constants for reference.
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  ## Softmax
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- `softmax_v` is a function that computes the `matmul(softmax(qk_T), v)` operation in the attention layer. To match the HW behaviour, the operation can be broken down into the following steps:
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  ```python
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  def softmaxed_v(qk_T, v):
 
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  ## Softmax
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+ `softmax_v` is a function that computes the `matmul(softmax(qk_T), v)` operation in the attention layer. To match the HW behaviour, `softmax_v` is broken down into the following steps:
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  ```python
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  def softmaxed_v(qk_T, v):