Diff: main.cpp

Revision:

0:34aeffc5e6f0

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/main.cpp	Tue Oct 04 23:31:44 2016 +0000
@@ -0,0 +1,126 @@
+//
+// File: ert_main.cpp
+//
+// Code generated for Simulink model 'neural_network3'.
+//
+// Model version                  : 1.7
+// Simulink Coder version         : 8.10 (R2016a) 10-Feb-2016
+// C/C++ source code generated on : Tue Oct 04 18:06:54 2016
+//
+// Target selection: ert.tlc
+// Embedded hardware selection: ARM Compatible->ARM Cortex
+// Code generation objectives: Unspecified
+// Validation result: Not run
+//
+#include <stddef.h>
+#include <stdio.h>                     // This ert_main.c example uses printf/fflush 
+#include "neural_network3.h"           // Model's header file
+#include "rtwtypes.h"
+#include "mbed.h"
+
+//
+// Associating rt_OneStep with a real-time clock or interrupt service routine
+// is what makes the generated code "real-time".  The function rt_OneStep is
+// always associated with the base rate of the model.  Subrates are managed
+// by the base rate from inside the generated code.  Enabling/disabling
+// interrupts and floating point context switches are target specific.  This
+// example code indicates where these should take place relative to executing
+// the generated code step function.  Overrun behavior should be tailored to
+// your application needs.  This example simply sets an error status in the
+// real-time model and returns from rt_OneStep.
+//
+void rt_OneStep(void);
+void rt_OneStep(void)
+{
+  static boolean_T OverrunFlag = false;
+
+  // '<Root>/In1'
+  static real_T arg_In1[200] = { 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 0.0, 0.0, 0.0, 0.0, 0.0 };
+
+  // '<Root>/Out1'
+  static real_T arg_Out1[2];
+
+  // Disable interrupts here
+
+  // Check for overrun
+  if (OverrunFlag) {
+    rtmSetErrorStatus(neural_network3_M, "Overrun");
+    return;
+  }
+
+  OverrunFlag = true;
+
+  // Save FPU context here (if necessary)
+  // Re-enable timer or interrupt here
+  // Set model inputs here
+
+  // Step the model
+  neural_network3_custom(arg_In1, arg_Out1);
+
+  // Get model outputs here
+    printf("output: %f", arg_Out1);
+  // Indicate task complete
+  OverrunFlag = false;
+
+  // Disable interrupts here
+  // Restore FPU context here (if necessary)
+  // Enable interrupts here
+}
+
+//
+// The example "main" function illustrates what is required by your
+// application code to initialize, execute, and terminate the generated code.
+// Attaching rt_OneStep to a real-time clock is target specific.  This example
+// illustrates how you do this relative to initializing the model.
+//
+int_T main(int_T argc, const char *argv[])
+{
+  // Unused arguments
+  (void)(argc);
+  (void)(argv);
+
+  // Initialize model
+  neural_network3_initialize();
+
+  // Attach rt_OneStep to a timer or interrupt service routine with
+  //  period 0.2 seconds (the model's base sample time) here.  The
+  //  call syntax for rt_OneStep is
+  //
+    for(;;)
+    {
+        rt_OneStep();
+        wait(0.2);
+    }
+//  printf("Warning: The simulation will run forever. "
+//         "Generated ERT main won't simulate model step behavior. "
+//         "To change this behavior select the 'MAT-file logging' option.\n");
+  fflush((NULL));
+  while (rtmGetErrorStatus(neural_network3_M) == (NULL)) {
+    //  Perform other application tasks here
+  }
+
+  // Disable rt_OneStep() here
+
+  // Terminate model
+  neural_network3_terminate();
+  return 0;
+}
+
+//
+// File trailer for generated code.
+//
+// [EOF]
+//