Comments (3)
thank your question.
1.we just save and get item embedding in faiss, 'max' operation is conducted in inference code.
2.In our code, for all heads, the Fe score is done in a parallel way. For a single layer, it only needs once to compute similarity score. For L layers, we only compute L times.
And in online inference, we find that only using last layer to compute MaxSim Score is also useful, so you can use last layer to
compute MaxSim score to get the similarity score.
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Thanks for your reply, I'll try it later
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It's ok, feel free to ask questions
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Related Issues (11)
- Could you provide the training script for the dataset of Amazon and Alibaba? HOT 12
- Could you share the serving code? HOT 2
- is CIR contrastive loss removed? HOT 4
- 矩阵相乘求相似度 HOT 1
- 多目标serving时的融合 HOT 1
- CUDA out of memory HOT 3
- Question about serving the model HOT 2
- Alibaba datset HOT 1
- 计算maxsim得到的loss能否和双塔之前的loss一起存在? HOT 1
- GPU Memory Gradually Increases Leading to CUDA Out of Memory Error During Model Training HOT 8
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