i am using a MCU is arm cortex M3.
the project on keil is using C language.
i found i can directly download the tflite micro related package on my project
but the first thing is when i compile , there are a lot of error.
there are some of the errors
C:\Users\uveuv\AppData\Local\Arm\Packs\tensorflow\gemmlowp\1.23.2\src\fixedpoint\fixedpoint.h(459): error: #65: expected a “;”
static constexpr int kFractionalBits = kTotalBits - 1 - kIntegerBits;
C:\Users\uveuv\AppData\Local\Arm\Packs\tensorflow\gemmlowp\1.23.2\src\fixedpoint\fixedpoint.h(460): error: #20: identifier “kIntegerBits” is undefined
static_assert(kIntegerBits >= 0 && kIntegerBits < kTotalBits,
C:\Users\uveuv\AppData\Local\Arm\Packs\tensorflow\gemmlowp\1.23.2\src\fixedpoint\fixedpoint.h(460): error: #18: expected a “)”
static_assert(kIntegerBits >= 0 && kIntegerBits < kTotalBits,
C:\Users\uveuv\AppData\Local\Arm\Packs\tensorflow\gemmlowp\1.23.2\src\fixedpoint\fixedpoint.h(460): error: #260-D: explicit type is missing (“int” assumed)
static_assert(kIntegerBits >= 0 && kIntegerBits < kTotalBits,
C:\Users\uveuv\AppData\Local\Arm\Packs\tensorflow\gemmlowp\1.23.2\src\fixedpoint\fixedpoint.h(463): error: #20: identifier “kIntegerBits” is undefined
typedef FixedPoint<ScalarRawType, kIntegerBits> ScalarFixedPointType;
C:\Users\uveuv\AppData\Local\Arm\Packs\tensorflow\tensorflow-lite-micro\1.23.2\tensorflow\lite\kernels\internal\types.h(21): error: #5: cannot open source input file “initializer_list”: No such file or directory
#include <initializer_list>
C:/Users/uveuv/AppData/Local/Arm/Packs/tensorflow/tensorflow-lite-micro/1.23.2/tensorflow/lite/micro/kernels/pooling_common.cpp: 0 warnings, 17 errors
compiling prelu.cpp…
C:\Users\uveuv\AppData\Local\Arm\Packs\tensorflow\gemmlowp\1.23.2\src\fixedpoint\fixedpoint.h(53): error: #260-D: explicit type is missing (“int” assumed)
static constexpr int kLanes = 1;
C:\Users\uveuv\AppData\Local\Arm\Packs\tensorflow\gemmlowp\1.23.2\src\fixedpoint\fixedpoint.h(53): error: #65: expected a “;”
the second thing is i don’t know how to use those package
(p.s. i already made a test model just do regression )