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CharlesSL avatar CharlesSL commented on May 28, 2024 1

感谢解惑，这个问题我暂时还没遇到，不过用tensorflow处理控制流变量的处理上倒是踩过很多坑，我采样了一些transducer的帧级别输出，以及辅助训练的ctc_dense网络的帧级输出，发现它们对齐后的误差并不大，我在考虑工程化方案中，分离encoder和decoder，将输出结果根据精度要求，采用transducer或ctc_dense+ctc_decode做infer，后者速度会提高很多。同时encoder在分离后可以并行处理，与不能并行的transducer分开处理，更适合生产环境

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Z-yq avatar Z-yq commented on May 28, 2024

感谢指出，能看出这里有重复计算都是高手，给你点个赞！

这个地方这么写是为了配合 TF C 2.3.0版本的模型加载，因为不这样写C版本的推理会有问题，详见问题issue：

tensorflow/tensorflow#44428
至于issue中回复的方法有没有work我没有尝试过，好像是有的work有的不work

transducer_wrap_python.py中有正确的推理方法 XD

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Z-yq avatar Z-yq commented on May 28, 2024

感谢分享嗷

今日更新的streaming结构是encoder和decoder分开了，其infer的速度还是非常可观的。

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CharlesSL avatar CharlesSL commented on May 28, 2024

好的，后面再去研究一下，从项目里学到很多，感谢

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