fix std:: math

Author: agrimagsrl

examples/SineExample/SineExample.ino

@@ -7,10 +7,7 @@
 // in future projects you may need to tweek this value: it's a trial and error process
 #define TENSOR_ARENA_SIZE 2*1024
 
-Eloquent::TinyML::TinyML<
-        NUMBER_OF_INPUTS,
-        NUMBER_OF_OUTPUTS,
-        TENSOR_ARENA_SIZE> ml(sine_model);
+Eloquent::TinyML::TinyML<NUMBER_OF_INPUTS, NUMBER_OF_OUTPUTS, TENSOR_ARENA_SIZE> ml(sine_model);
 
 
 void setup() {

examples/SineExample/sine_model.h

@@ -1,6 +1,6 @@
 #pragma once
 
-unsigned char sine_model_quantized_tflite[] = {
+unsigned char sine_model[] = {
         0x18, 0x00, 0x00, 0x00, 0x54, 0x46, 0x4c, 0x33, 0x00, 0x00, 0x0e, 0x00,
         0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0c, 0x00, 0x10, 0x00, 0x14, 0x00,
         0x0e, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x0a, 0x00, 0x00,
@@ -222,4 +222,4 @@ unsigned char sine_model_quantized_tflite[] = {
         0x00, 0x00, 0x0a, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x00, 0x00, 0x08, 0x00,
         0x0a, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x03, 0x00, 0x00, 0x00
 };
-unsigned int sine_model_quantized_tflite_len = 2640;
+unsigned int sine_model_len = 2640;

src/tensorflow/lite/kernels/internal/reference/concatenation.h

@@ -122,7 +122,7 @@ inline void ConcatenationWithScaling(const ConcatenationParams& params,
         const float bias = -input_zeropoint[i] * scale;
         for (int j = 0; j < copy_size; ++j) {
           const int32_t value =
-              static_cast<int32_t>(std::round(input_ptr[j] * scale + bias)) +
+              static_cast<int32_t>(round(input_ptr[j] * scale + bias)) +
               output_zeropoint;
           output_ptr[j] = static_cast<uint8_t>(
               std::max<int32_t>(std::min<int32_t>(255, value), 0));

src/tensorflow/lite/micro/kernels/activation_utils.h

@@ -20,6 +20,13 @@ limitations under the License.
 
 #include "tensorflow/lite/c/builtin_op_data.h"
 
+#ifndef _max
+#define _max(a, b) ((a) > (b) ? (a) : (b))
+#endif
+#ifndef _min
+#define _min(a, b) ((a) > (b) ? (b) : (a))
+#endif
+
 namespace tflite {
 namespace ops {
 namespace micro {
@@ -30,17 +37,18 @@ inline float ActivationValFloat(TfLiteFusedActivation act, float a) {
     case kTfLiteActNone:
       return a;
     case kTfLiteActRelu:
-      return std::fmax(0.0f, a);
+      return _max(0.0f, a);
     case kTfLiteActRelu1:
-      return std::fmax(-1.0f, std::fmin(a, 1.0f));
+      return _max(-1.0f, _min(a, 1.0f));
     case kTfLiteActRelu6:
-      return std::fmax(0.0f, std::fmin(a, 6.0f));
+      return _max(0.0f, _min(a, 6.0f));
     case kTfLiteActTanh:
-      return std::tanh(a);
+      return tanh(a);
     case kTfLiteActSignBit:
-      return std::signbit(a);
+      //return signbit(a);
+	  return a > 0 ? 1 : 0;
     case kTfLiteActSigmoid:
-      return 1.0f / (1.0f + std::exp(-a));
+      return 1.0f / (1.0f + exp(-a));
   }
 }