scaled_dot_product_attention api #55242
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… develop_scaleed_dot_product_attention_api
… develop_scaleed_dot_product_attention_api
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| where : ``Q``, ``K``, and ``V`` represent the three input parameters of the attention module. | ||
| The dimensions of the three parameters are the same. | ||
| ``d`` represents the size of the last dimension of the three parameters. |
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Here, Q, K, and V denote the three input parameters of the attention module, all sharing identical dimensions. d represents the size of the last dimension of these three parameters.
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在数学公式里面， 一般用 where
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OK，我这个是用的ChatGPT做的改动，仅供参考。
| The dtype can be float16 or bfloat16. | ||
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| Examples: | ||
| .. code-block:: python |
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框架正在引入xdoctest，示例代码可以顺便改成xdoctest支持的格式，see #55295
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xdoctest支持的格式是什么样的呢？
是否有个 demo 或明确的规范
… develop_scaleed_dot_product_attention_api
… develop_scaleed_dot_product_attention_api
… develop_scaleed_dot_product_attention_api
… develop_scaleed_dot_product_attention_api
… develop_scaleed_dot_product_attention_api
…ithub.com/liuzhenhai93/Paddle into develop_scaleed_dot_product_attention_api
| @@ -407,4 +407,57 @@ def flash_attn_unpadded( | |||
| return out, softmax if return_softmax else None | |||
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| scaled_dot_product_attention = flash_attention | |||
| def scaled_dot_product_attention( | |||
| query, key, value, attn_mask=None, dropout_p=0.0, is_causal=False | |||
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In order to be consistent with other APIs, there must be a parameter name=None at last
| >>> print(output) | ||
| >>> # xdoctest: -SKIP | ||
| """ | ||
| assert attn_mask is None, "attn_mask is not supported yet" |
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If attn_mask is not currently supported, add a TODO statement to indicate that it will be supported later
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已经有工作正在支持attn_mask，因此依赖当前PR合入。
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scaled_dot_product_attention api
card-72806