arduino / arduino/ArduinoTensorFlowLiteTutorials

Compilation error: tensorflow/lite/micro/kernels/micro_ops.h: No such file or directory

未关闭
#34 5 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看
主要语言
Jupyter Notebook
星标
270
派生
122
PR 合并指标
30 天内没有已合并 PR

描述

I am currently working with arduino nano 33 ble sense. Since the tensorflow lite library for arduino was removed, I manually installed using this link https://downloads.arduino.cc/libraries/github.com/bcmi-labs/Arduino_TensorFlowLite-1.15.0-ALPHA.zip?_gl=1*1yhwoez*_ga*NzU5Nzg3Mzg0LjE2NzUxNTU5MDk.*_ga_NEXN8H46L5*MTY3NTg4MDMwNi4xMC4xLjE2NzU4ODA0NjguMC4wLjA.

While trying to run my code I'm getting this error eventhough I have the files exactly in the path mentioned. The header files look like this

#include "TensorFlowLite.h"
#include "main_functions.h"
#include "tensorflow/lite/micro/kernels/micro_ops.h"
#include "tensorflow/lite/micro/micro_error_reporter.h"
#include "tensorflow/lite/micro/micro_interpreter.h"
#include "tensorflow/lite/micro/micro_mutable_op_resolver.h"
#include "tensorflow/lite/schema/schema_generated.h"
#include "tensorflow/lite/version.h"

Can someone please help me?

贡献指南

这个仓库没有索引到贡献指南

调研方向

首先检查 Arduino_TensorFlowLite-1.15.0-ALPHA 的安装,以及编译 Arduino Nano 33 BLE Sense sketch 时使用的 include 路径。检查已安装的库中是否存在 tensorflow/lite/micro/kernels/micro_ops.h,以及所引用的 headers 是否能够解析;当 sketch 编译时不再出现缺少 header 的错误,即表示完成。

由索引模型根据 Issue 内容生成。

评估

技术栈
arduino, tensorflow
领域
embedded-iot
Issue 类型
缺陷
难度
2/5
预计耗时
1-3 小时
活跃度
停滞
描述清晰度
需要澄清
新手友好度
30/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。