简单网站建设的费用,聊天软件,网站开发中都引用什么文献,wordpress怎么采集魔术标记不匹配错误Serialization assertion magicTagRead kMAGIC_TAG failed.Magic tag does not match 原因#xff1a; 转换和推理使用的镜像的标签是相同的#xff0c;但是转换的镜像中pip list得到trt版本为8.6.0#xff0c;但是推理环境中 rootf2c810ba3976:/# /usr/…魔术标记不匹配错误Serialization assertion magicTagRead kMAGIC_TAG failed.Magic tag does not match 原因 转换和推理使用的镜像的标签是相同的但是转换的镜像中pip list得到trt版本为8.6.0但是推理环境中 rootf2c810ba3976:/# /usr/src/tensorrt/bin/trtexec 得到trtexec版本为8.5.3 解决 可在官方文档中寻找正确版本的镜像地址https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tritonserver/tags 版本说名如下 https://docs.nvidia.com/deeplearning/triton-inference-server/release-notes/rel-23-04.html#rel-23-04 小版本不一致 The engine plan file is not compatible with this version of TensorRT, expecting library version 8.6.1.2 got 8.6.0.12, please rebuild. 解决 rebuild
pytorch NGC
https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch/tagssudo docker run -it --shm-size 8gb --rm --gpusall -p 8603:8000 -v ${PWD}:/test nvcr.io/nvidia/pytorch:23.05-py3 bash
torch NGC
https://catalog.ngc.nvidia.com/orgs/nvidia/containers/torch/tags
cuda NGC
https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda/tags
tensorrt NGC
https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tensorrt/tags
