Upgrade TensorFlowLite

src/AudioTools/AudioLibs/TfLiteAudioStream.h

@@ -3,6 +3,7 @@
 // Configure FFT to output 16 bit fixed point.
 #define FIXED_POINT 16
 
+//#include <MicroTFLite.h>
 #include <TensorFlowLite.h>
 #include <cmath>
 #include <cstdint>
@@ -13,7 +14,6 @@
 #include "tensorflow/lite/experimental/microfrontend/lib/frontend_util.h"
 #include "tensorflow/lite/micro/all_ops_resolver.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/micro/system_setup.h"
@@ -55,25 +55,6 @@ class TfLiteWriter {
     virtual bool begin(TfLiteAudioStreamBase *parent) = 0;
     virtual bool write(const int16_t sample) = 0;
 };
-/**
- * @brief Error Reporter using the Audio Tools Logger
- * @ingroup tflite
- * @author Phil Schatzmann
- * @copyright GPLv3
- */
-class TfLiteAudioErrorReporter : public tflite::ErrorReporter {
- public:
-  virtual ~TfLiteAudioErrorReporter() {}
-  virtual int Report(const char* format, va_list args) override {
-    int result = snprintf(msg, 200, format, args);
-    LOGE(msg);
-    return result;
-  }
-
- protected:
-  char msg[200];
-} my_error_reporter;
-tflite::ErrorReporter* error_reporter = &my_error_reporter;
 
 /**
  * @brief Configuration settings for TfLiteAudioStream
@@ -96,7 +77,7 @@ struct TfLiteConfig {
   // Create an area of memory to use for input, output, and intermediate arrays.
   // The size of this will depend on the model you’re using, and may need to be
   // determined by experimentation.
-  int kTensorArenaSize = 10 * 1024;
+  size_t kTensorArenaSize = 10 * 1024;
 
   // Keeping these as constant expressions allow us to allocate fixed-sized
   // arrays on the stack for our working memory.
@@ -980,14 +961,12 @@ class TfLiteAudioStream : public TfLiteAudioStreamBase {
       TRACEI();
       if (cfg.useAllOpsResolver) {
         tflite::AllOpsResolver resolver;
-        static tflite::MicroInterpreter static_interpreter(
-            p_model, resolver, p_tensor_arena, cfg.kTensorArenaSize,
-            error_reporter);
+        static tflite::MicroInterpreter static_interpreter{
+            p_model, resolver, p_tensor_arena, cfg.kTensorArenaSize};
         p_interpreter = &static_interpreter;
       } else {
         // NOLINTNEXTLINE(runtime-global-variables)
-        static tflite::MicroMutableOpResolver<4> micro_op_resolver(
-            error_reporter);
+        static tflite::MicroMutableOpResolver<4> micro_op_resolver{};
         if (micro_op_resolver.AddDepthwiseConv2D() != kTfLiteOk) {
           return false;
         }
@@ -1001,9 +980,8 @@ class TfLiteAudioStream : public TfLiteAudioStreamBase {
           return false;
         }
         // Build an p_interpreter to run the model with.
-        static tflite::MicroInterpreter static_interpreter(
-            p_model, micro_op_resolver, p_tensor_arena, cfg.kTensorArenaSize,
-            error_reporter);
+        static tflite::MicroInterpreter static_interpreter{
+            p_model, micro_op_resolver, p_tensor_arena, cfg.kTensorArenaSize};
         p_interpreter = &static_interpreter;
       }
     }