Open MowanHu opened 2 years ago
The results of LightSeq Transformer model should include all the beam results. In the following line, you can print ls_res_ids directly to see the complete results. https://github.com/bytedance/lightseq/blob/master/examples/inference/python/test/ls_bart.py#L31
The results of LightSeq Transformer model should include all the beam results. In the following line, you can print ls_res_ids directly to see the complete results. https://github.com/bytedance/lightseq/blob/master/examples/inference/python/test/ls_bart.py#L31
感谢韦神的回复!目前还是有点问题
我使用的环境版本:
lightseq==2.2.0.post1
模型转换参数: generator config beam size: 8 extra decode length(max decode length - src input length): 30 length penalty: 1 diverse lambda: 0 sampling method: beam_search
仿照ls_bart.py执行代码: title_tensor = torch.tensor(title_idx) predict_output = model.infer(title_tensor) print(predict_output)
(array([[[1395, 800, 1469, 2478, 727, 4415, 1825, 4794, 4761, 6399, 102]]], dtype=int32), array([[-0.64969325]], dtype=float32))
打印出predict_output,还是只能看到一条结果,并没有8个结果,是我还有哪里参数没有配置吗? 另外,后面这个array中的-0.64969325是beamscore吗?
Could you try to add multiple_output=True
in the infer
function?
thx, it works ! and where can I view the usage description of the
infer
function?
print(predict_output[1]) array([[-0.614843 , -0.7758462, -0.9982237, -1.038495 , -1.0539751,-1.3415337, -1.3432366, -1.4289901]], dtype=float32))
Is the element in the array equal to beam score by using log-softmax to calulate? It seems low confidence, 0.5407257825933576, 0.46031409835746295, 0.36853348614086223, 0.3539870317478623, 0.3485494726615821, 0.261444383682408, 0.26099954890350463, 0.2395507224007668
You can try add multiple_output=True
parameter in infer function.
On Tue, Jul 12, 2022 at 5:26 PM 冷墙 @.***> wrote:
Thank you very much for such a great work ! At present, I have successfully converted the bart model and beam search decoding strategy into lightseq, but each inference can only return one result, how can I get multiple beam results?
期待回复,感谢!
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Thank you very much for such a great work ! At present, I have successfully converted the bart model and beam search decoding strategy into lightseq, but each inference can only return one result, how can I get multiple beam results?
期待回复,感谢!