Comments (4)
shenlei1020
commented on June 25, 2024
看起来是batch 推理有问题。建议seq length固定到512试试
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cherishhh
commented on June 25, 2024
tensorrt版本8.6.1在推理多batch时有问题，换成9.3的版本就好了。
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Gcstk
commented on June 25, 2024
tensorrt版本8.6.1在推理多batch时有问题，换成9.3的版本就好了。
感谢，我去测试一下。请问这个和onnx版本有啥关系没有呢？你用的是什么opt_set版本的？
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cherishhh
commented on June 25, 2024
可以加个微信好友15927303165，我也在做这块的转换。
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Related Issues (20)
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- 测试“Embedding和Reranker集成常用RAG框架”中的样例代码1 HOT 2
- 使用gpu就会崩溃 HOT 4
- 关于模型微调的问题 HOT 1
- 使用 langchain 调用程序报错 HOT 2
- pydantic版本问题 HOT 1
- 下载 tokenizer 时不能指定 auth token HOT 2
- bce-reranker-base_v1原生支持的passage长度问题 HOT 1
- Are there any optimization methods to support the optimized run of this project? HOT 1
- RerankerModel的token数量 HOT 4
- 复现 LlamaIndex RAG评测结果时的一些问题 HOT 1
- Xinference对比手动部署 HOT 4
- 单独部署-用api的方式提供服务 HOT 1
- python3.11报错 HOT 1
- 请问有 C-MTEB （非英文）的测试结果么？ HOT 1
- 请问有没有提交到最新的mteb leaderboard的结果对比？
- 请问出现这种情况：Token indices sequence length is longer than the specified maximum sequence length for this model (781 > 512)，如何解决？ HOT 1
- query只能是一个句子吗？多轮交互下的召回或者排序，BCEEmbedding支持处理呢？ HOT 3
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