Comments (1)
- 基于带 log 的库,执行前 export GLOG_v=5 ,执行时通过 >log.txt 2>&1 把log 保存到文件后再上传上来。
- 先用 https://netron.app/ 确认原始的 paddle 推理模型的输入、输出个数和 shape,调整你的测试代码,如果仍有问题,把原始的 paddle 推理模型上传一下。
- 如果2确认没问题,可以尝试自行编译 paddle lite 最新 develop 分支代码,具体可以参考文档 https://www.paddlepaddle.org.cn/lite/v2.12/source_compile/linux_x86_compile_linux_x86.html ,顺便提醒一下,Paddle Lite 主要是面向移动端 arm cpu 的推理,x86 cpu 推理建议使用 Paddle Inference https://www.paddlepaddle.org.cn/inference/v2.6/guides/introduction/index_intro.html
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