Eliminating few compile time warnings

opennn/batch.cpp

@@ -22,7 +22,7 @@ void Batch::fill(const Tensor<Index, 1>& samples_indices,
         ImageDataSet* image_data_set = static_cast<ImageDataSet*>(data_set);
 /*
         // @TODO
-        Tensor<type, 2>& augmented_data = perform_augmentation(data);
+        const Tensor<type, 2>& augmented_data = perform_augmentation(data);
 
         fill_tensor_data(augmented_data, samples_indices, inputs_indices, input_data);
 */

opennn/codification.cpp

@@ -43,7 +43,7 @@ string sj2utf8(const string &input_string)
         //converting to UTF8
         if(unicodeValue < 0x80)
         {
-            output[indexOutput++] = unicodeValue;
+            output[indexOutput++] = char(unicodeValue);
         }
         else if(unicodeValue < 0x800)
         {

opennn/perceptron_layer_3d.cpp

@@ -362,7 +362,7 @@ void PerceptronLayer3D::add_deltas(const vector<pair<type*, dimensions>>& delta_
 {
     TensorMap<Tensor<type, 3>> deltas = tensor_map_3(delta_pairs[0]);
 
-    for(Index i = 1; i < Index(delta_pairs.size()); i++)
+    for(Index i = 1; i < static_cast<Index>(delta_pairs.size()); i++)
         deltas.device(*thread_pool_device) += tensor_map_3(delta_pairs[i]);
 }
 

opennn/probabilistic_layer_3d.h

@@ -33,7 +33,7 @@ class ProbabilisticLayer3D : public Layer
 
    explicit ProbabilisticLayer3D(const Index& = 0, const Index& = 0, const Index& = 0);
 
-   enum class ActivationFunction{Softmax, Competitive};
+   enum class ActivationFunction{Softmax, Competitive, Binary, Logistic};
 
    Index get_inputs_number() const;
    Index get_inputs_depth() const;

opennn/time_series_data_set.cpp

@@ -52,14 +52,16 @@ Tensor<DataSet::RawVariable, 1> TimeSeriesDataSet::get_time_series_raw_variables
 const string& TimeSeriesDataSet::get_time_raw_variable() const
 {
     //return time_column; @todo
-    return "";
+    static const string empty("");
+    return empty;
 }
 
 
 const string& TimeSeriesDataSet::get_group_by_column() const
 {
     //return group_by_column; @todo
-    return string();
+    static const string empty;
+    return empty;
 }
 
 

tests/response_optimization_test.cpp

@@ -97,7 +97,7 @@ void ResponseOptimizationTest::test_perform_optimization()
     results = response_optimization.perform_optimization();
     assert_true(results->optimal_variables(0) = 1, LOG);
     assert_true(results->optimal_variables(1) <= 1, LOG);
-    assert_true(1 <= results->optimal_variables(2) <= 2.5, LOG);
+    assert_true((1 <= results->optimal_variables(2)) && (results->optimal_variables(2) <= 2.5), LOG);
 
     // Multiple outputs case 1
 
@@ -111,8 +111,8 @@ void ResponseOptimizationTest::test_perform_optimization()
     results = response_optimization.perform_optimization();
     assert_true(results->optimal_variables(0) = 1, LOG);
     assert_true(results->optimal_variables(1) <= 1, LOG);
-    assert_true(1 <= results->optimal_variables(2) <= 3.0, LOG);
-    assert_true(-1 <= results->optimal_variables(3) <= type(1), LOG);
+    assert_true((1 <= results->optimal_variables(2)) && (results->optimal_variables(2) <= 3.0), LOG);
+    assert_true((-1 <= results->optimal_variables(3)) && (results->optimal_variables(3) <= type(1)), LOG);
 
     // Multiple outputs case 2
 
@@ -131,7 +131,7 @@ void ResponseOptimizationTest::test_perform_optimization()
     results = response_optimization.perform_optimization();
     assert_true(results->optimal_variables(0) = 1, LOG);
     assert_true(results->optimal_variables(1) <= 1, LOG);
-    assert_true(1 <= results->optimal_variables(2) <= 2.0, LOG);
+    assert_true((1 <= results->optimal_variables(2)) && (results->optimal_variables(2) <= 2.0), LOG);
     assert_true(type(-1) <= results->optimal_variables(3), LOG);
     assert_true(results->optimal_variables(3) <= type(0), LOG);
 

tests/statistics_test.cpp

@@ -7,7 +7,7 @@
 //   [email protected]
 
 #include "statistics_test.h"
-#include "strings_utilities.h"
+#include "../opennn/strings_utilities.h"
 
 #include "../opennn/statistics.h"
 #include "../opennn/histogram.h"