Merge pull request #74 from iclementine/reborn
bug fix: apply dropout to logits before softmax
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91c54575fe
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@ -61,8 +61,8 @@ def scaled_dot_product_attention(q,
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if mask is not None:
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scaled_logit += paddle.scale((1.0 - mask), -1e9) # hard coded here
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scaled_logit = F.dropout(scaled_logit, dropout, training=training)
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attn_weights = F.softmax(scaled_logit, axis=-1)
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attn_weights = F.dropout(attn_weights, dropout, training=training)
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out = paddle.matmul(attn_weights, v)
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return out, attn_weights
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