Curtis Mattull / Mbed 2 deprecated NN_FG_final

software implementing neural network trained with sine, tri, square wave inputs.

Dependencies:   mbed

main.cpp@0:34aeffc5e6f0, 2016-10-04 (annotated)

Committer:
cpm219
Date:
Tue Oct 04 23:31:44 2016 +0000
Revision:
0:34aeffc5e6f0
update to implement C++ instead of C.

Who changed what in which revision?

UserRevisionLine numberNew contents of line
cpm219 0:34aeffc5e6f0 1 //
cpm219 0:34aeffc5e6f0 2 // File: ert_main.cpp
cpm219 0:34aeffc5e6f0 3 //
cpm219 0:34aeffc5e6f0 4 // Code generated for Simulink model 'neural_network3'.
cpm219 0:34aeffc5e6f0 5 //
cpm219 0:34aeffc5e6f0 6 // Model version : 1.7
cpm219 0:34aeffc5e6f0 7 // Simulink Coder version : 8.10 (R2016a) 10-Feb-2016
cpm219 0:34aeffc5e6f0 8 // C/C++ source code generated on : Tue Oct 04 18:06:54 2016
cpm219 0:34aeffc5e6f0 9 //
cpm219 0:34aeffc5e6f0 10 // Target selection: ert.tlc
cpm219 0:34aeffc5e6f0 11 // Embedded hardware selection: ARM Compatible->ARM Cortex
cpm219 0:34aeffc5e6f0 12 // Code generation objectives: Unspecified
cpm219 0:34aeffc5e6f0 13 // Validation result: Not run
cpm219 0:34aeffc5e6f0 14 //
cpm219 0:34aeffc5e6f0 15 #include <stddef.h>
cpm219 0:34aeffc5e6f0 16 #include <stdio.h> // This ert_main.c example uses printf/fflush
cpm219 0:34aeffc5e6f0 17 #include "neural_network3.h" // Model's header file
cpm219 0:34aeffc5e6f0 18 #include "rtwtypes.h"
cpm219 0:34aeffc5e6f0 19 #include "mbed.h"
cpm219 0:34aeffc5e6f0 20
cpm219 0:34aeffc5e6f0 21 //
cpm219 0:34aeffc5e6f0 22 // Associating rt_OneStep with a real-time clock or interrupt service routine
cpm219 0:34aeffc5e6f0 23 // is what makes the generated code "real-time". The function rt_OneStep is
cpm219 0:34aeffc5e6f0 24 // always associated with the base rate of the model. Subrates are managed
cpm219 0:34aeffc5e6f0 25 // by the base rate from inside the generated code. Enabling/disabling
cpm219 0:34aeffc5e6f0 26 // interrupts and floating point context switches are target specific. This
cpm219 0:34aeffc5e6f0 27 // example code indicates where these should take place relative to executing
cpm219 0:34aeffc5e6f0 28 // the generated code step function. Overrun behavior should be tailored to
cpm219 0:34aeffc5e6f0 29 // your application needs. This example simply sets an error status in the
cpm219 0:34aeffc5e6f0 30 // real-time model and returns from rt_OneStep.
cpm219 0:34aeffc5e6f0 31 //
cpm219 0:34aeffc5e6f0 32 void rt_OneStep(void);
cpm219 0:34aeffc5e6f0 33 void rt_OneStep(void)
cpm219 0:34aeffc5e6f0 34 {
cpm219 0:34aeffc5e6f0 35 static boolean_T OverrunFlag = false;
cpm219 0:34aeffc5e6f0 36
cpm219 0:34aeffc5e6f0 37 // '<Root>/In1'
cpm219 0:34aeffc5e6f0 38 static real_T arg_In1[200] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 39 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 40 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 41 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 42 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 43 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 44 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 45 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 46 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 47 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 48 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 49 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 50 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
cpm219 0:34aeffc5e6f0 51 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
cpm219 0:34aeffc5e6f0 52
cpm219 0:34aeffc5e6f0 53 // '<Root>/Out1'
cpm219 0:34aeffc5e6f0 54 static real_T arg_Out1[2];
cpm219 0:34aeffc5e6f0 55
cpm219 0:34aeffc5e6f0 56 // Disable interrupts here
cpm219 0:34aeffc5e6f0 57
cpm219 0:34aeffc5e6f0 58 // Check for overrun
cpm219 0:34aeffc5e6f0 59 if (OverrunFlag) {
cpm219 0:34aeffc5e6f0 60 rtmSetErrorStatus(neural_network3_M, "Overrun");
cpm219 0:34aeffc5e6f0 61 return;
cpm219 0:34aeffc5e6f0 62 }
cpm219 0:34aeffc5e6f0 63
cpm219 0:34aeffc5e6f0 64 OverrunFlag = true;
cpm219 0:34aeffc5e6f0 65
cpm219 0:34aeffc5e6f0 66 // Save FPU context here (if necessary)
cpm219 0:34aeffc5e6f0 67 // Re-enable timer or interrupt here
cpm219 0:34aeffc5e6f0 68 // Set model inputs here
cpm219 0:34aeffc5e6f0 69
cpm219 0:34aeffc5e6f0 70 // Step the model
cpm219 0:34aeffc5e6f0 71 neural_network3_custom(arg_In1, arg_Out1);
cpm219 0:34aeffc5e6f0 72
cpm219 0:34aeffc5e6f0 73 // Get model outputs here
cpm219 0:34aeffc5e6f0 74 printf("output: %f", arg_Out1);
cpm219 0:34aeffc5e6f0 75 // Indicate task complete
cpm219 0:34aeffc5e6f0 76 OverrunFlag = false;
cpm219 0:34aeffc5e6f0 77
cpm219 0:34aeffc5e6f0 78 // Disable interrupts here
cpm219 0:34aeffc5e6f0 79 // Restore FPU context here (if necessary)
cpm219 0:34aeffc5e6f0 80 // Enable interrupts here
cpm219 0:34aeffc5e6f0 81 }
cpm219 0:34aeffc5e6f0 82
cpm219 0:34aeffc5e6f0 83 //
cpm219 0:34aeffc5e6f0 84 // The example "main" function illustrates what is required by your
cpm219 0:34aeffc5e6f0 85 // application code to initialize, execute, and terminate the generated code.
cpm219 0:34aeffc5e6f0 86 // Attaching rt_OneStep to a real-time clock is target specific. This example
cpm219 0:34aeffc5e6f0 87 // illustrates how you do this relative to initializing the model.
cpm219 0:34aeffc5e6f0 88 //
cpm219 0:34aeffc5e6f0 89 int_T main(int_T argc, const char *argv[])
cpm219 0:34aeffc5e6f0 90 {
cpm219 0:34aeffc5e6f0 91 // Unused arguments
cpm219 0:34aeffc5e6f0 92 (void)(argc);
cpm219 0:34aeffc5e6f0 93 (void)(argv);
cpm219 0:34aeffc5e6f0 94
cpm219 0:34aeffc5e6f0 95 // Initialize model
cpm219 0:34aeffc5e6f0 96 neural_network3_initialize();
cpm219 0:34aeffc5e6f0 97
cpm219 0:34aeffc5e6f0 98 // Attach rt_OneStep to a timer or interrupt service routine with
cpm219 0:34aeffc5e6f0 99 // period 0.2 seconds (the model's base sample time) here. The
cpm219 0:34aeffc5e6f0 100 // call syntax for rt_OneStep is
cpm219 0:34aeffc5e6f0 101 //
cpm219 0:34aeffc5e6f0 102 for(;;)
cpm219 0:34aeffc5e6f0 103 {
cpm219 0:34aeffc5e6f0 104 rt_OneStep();
cpm219 0:34aeffc5e6f0 105 wait(0.2);
cpm219 0:34aeffc5e6f0 106 }
cpm219 0:34aeffc5e6f0 107 // printf("Warning: The simulation will run forever. "
cpm219 0:34aeffc5e6f0 108 // "Generated ERT main won't simulate model step behavior. "
cpm219 0:34aeffc5e6f0 109 // "To change this behavior select the 'MAT-file logging' option.\n");
cpm219 0:34aeffc5e6f0 110 fflush((NULL));
cpm219 0:34aeffc5e6f0 111 while (rtmGetErrorStatus(neural_network3_M) == (NULL)) {
cpm219 0:34aeffc5e6f0 112 // Perform other application tasks here
cpm219 0:34aeffc5e6f0 113 }
cpm219 0:34aeffc5e6f0 114
cpm219 0:34aeffc5e6f0 115 // Disable rt_OneStep() here
cpm219 0:34aeffc5e6f0 116
cpm219 0:34aeffc5e6f0 117 // Terminate model
cpm219 0:34aeffc5e6f0 118 neural_network3_terminate();
cpm219 0:34aeffc5e6f0 119 return 0;
cpm219 0:34aeffc5e6f0 120 }
cpm219 0:34aeffc5e6f0 121
cpm219 0:34aeffc5e6f0 122 //
cpm219 0:34aeffc5e6f0 123 // File trailer for generated code.
cpm219 0:34aeffc5e6f0 124 //
cpm219 0:34aeffc5e6f0 125 // [EOF]
cpm219 0:34aeffc5e6f0 126 //