TfLite micro中打印model 结构的方法
在tflite for micro中，提交了micro_optional_debug_tools.h/cc等文件用于得到类似如下的打印：
打印出的信息
Interpreter has 16 tensors and 7 nodes
Inputs: 1
Outputs: 0
Tensor 0 Identity kTfLiteFloat32 kTfLiteArenaRw 16 bytes ( 0.0 MB) 1 4
Tensor 1 conv2d_10_input kTfLiteFloat32 kTfLiteArenaRw 1536 bytes ( 0.0 MB) 1 128 3 1
Tensor 2 sequential_5/conv2d_10/Conv2D/ReadVariableOp kTfLiteFloat32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 1 4 3 8
Tensor 3 sequential_5/conv2d_10/Conv2D_bias kTfLiteFloat32 kTfLiteMmapRo 32 bytes ( 0.0 MB) 8
Tensor 4 sequential_5/conv2d_10/Relu kTfLiteFloat32 kTfLiteArenaRw 12288 bytes ( 0.0 MB) 1 128 3 8
Tensor 5 sequential_5/conv2d_11/Conv2D/ReadVariableOp kTfLiteFloat32 kTfLiteMmapRo 2048 bytes ( 0.0 MB) 16 4 1 8
Tensor 6 sequential_5/conv2d_11/Conv2D_bias kTfLiteFloat32 kTfLiteMmapRo 64 bytes ( 0.0 MB) 16
Tensor 7 sequential_5/conv2d_11/Relu kTfLiteFloat32 kTfLiteArenaRw 2688 bytes ( 0.0 MB) 1 42 1 16
Tensor 8 sequential_5/dense_10/MatMul/ReadVariableOp/transpose kTfLiteFloat32 kTfLiteMmapRo 14336 bytes ( 0.0 MB) 16 224
Tensor 9 sequential_5/dense_10/MatMul_bias kTfLiteFloat32 kTfLiteMmapRo 64 bytes ( 0.0 MB) 16
Tensor 10 sequential_5/dense_10/Relu kTfLiteFloat32 kTfLiteArenaRw 64 bytes ( 0.0 MB) 1 16
Tensor 11 sequential_5/dense_11/BiasAdd kTfLiteFloat32 kTfLiteArenaRw 16 bytes ( 0.0 MB) 1 4
Tensor 12 sequential_5/dense_11/MatMul/ReadVariableOp/transpose kTfLiteFloat32 kTfLiteMmapRo 256 bytes ( 0.0 MB) 4 16
Tensor 13 sequential_5/dense_11/MatMul_bias kTfLiteFloat32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 14 sequential_5/max_pooling2d_10/MaxPool kTfLiteFloat32 kTfLiteArenaRw 1344 bytes ( 0.0 MB) 1 42 1 8
Tensor 15 sequential_5/max_pooling2d_11/MaxPool kTfLiteFloat32 kTfLiteArenaRw 896 bytes ( 0.0 MB) 1 14 1 16
Node 0 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 1 2 3
Outputs: 4
Node 1 Operator Builtin Code 17 MAX_POOL_2D
Inputs: 4
Outputs: 14
Node 2 Operator Builtin Code 3 CONV_2D
Inputs: 14 5 6
Outputs: 7
Node 3 Operator Builtin Code 17 MAX_POOL_2D
Inputs: 7
Outputs: 15
Node 4 Operator Builtin Code 9 FULLY_CONNECTED
Inputs: 15 8 9
Outputs: 10
Node 5 Operator Builtin Code 9 FULLY_CONNECTED
Inputs: 10 12 13
Outputs: 11
Node 6 Operator Builtin Code 25 SOFTMAX
Inputs: 11
Outputs: 0
但在今天的使用中出现了问题且是 core dump
这里先记下怎么正确使用：
引入头文件micro_optional_debug_tools.h
#include "tensorflow/lite/experimental/micro/micro_optional_debug_tools.h"
调用函数PrintInterpreterState
pInterpreter->AllocateTensors();
tflite::PrintInterpreterState(pInterpreter);
调用函数的顺序，一定要在AllocateTensors的后面，否则会出现coredump
怎样使用coredump
因长时间没有看相关代码，使用模型文件结构打印时把tflite::PrintInterpreterState(pInterpreter)放到了pInterpreter->AllocateTensors()的前面 ，导致的coredump。在问题解决的过程中，因为tflite micro的代码变化挺大，搞不清是自己的问题还是其他问题，所以这里引入coredump, 并记录coredump使用过程中的一些问题。
core dump保存到哪里
保存到哪里这个问题分两步，是否保存了？保存路径在？
是否生成
ulimit -c 看core dump文件设置的大小，如果
ulimit -c
0
则需要设置
ulimit -c unlimited (设置为无穷大，不会出现大小导致的问题)
另外需要注意，这里的设置不是全局变量，需要在要执行程序的shell中设置
生成路径
默认路径是和执行程序路径一致，默认的文件名是core
也可以设置固定路径(这里不关注)可参考
https://blog.51cto.com/xjsunjie/1954870
得到coredump后怎么使用
gdb gesture_recognition_test_binary core
gdb gesture_recognition_test_binary core
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Reading symbols from gesture_recognition_test_binary...(no debugging symbols found)...done.
warning: core file may not match specified executable file.
[New LWP 25775]
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
Core was generated by `./gesture_recognition_test_binary'.
Program terminated with signal SIGSEGV, Segmentation fault.
#0 __strlen_avx2 () at ../sysdeps/x86_64/multiarch/strlen-avx2.S:62
62 ../sysdeps/x86_64/multiarch/strlen-avx2.S: No such file or directory
进入gdb后
(gdb) where/ bt (where/bt两者效果一致)
#0 __strlen_avx2 () at ../sysdeps/x86_64/multiarch/strlen-avx2.S:62
#1 0x00007fe7d36564d3 in _IO_vfprintf_internal (s=0x7fe7d39e5760 <_IO_2_1_stdout_>,
format=0x558fb3125350 "Tensor %3zu %-20s %10s %15s %10zu bytes (%4.1f MB) ", ap=ap@entry=0x7ffd8e703380) at vfprintf.c:1643
#2 0x00007fe7d365df26 in __printf (format=<optimized out>) at printf.c:33
#3 0x0000558fb3122263 in tflite::PrintInterpreterState(tflite::MicroInterpreter*) ()
#4 0x0000558fb3119147 in main ()
还有其他的命令...
来源：CSDN
作者：shuai_wen
链接：https://blog.csdn.net/u011279649/article/details/103669609