Added CSNN scripts

scripts/Weight_extractor.cpp

+#include "Experiment.h"
+#include "Tensor.h"
+#include "layer/Convolution.h"
+#include "execution/OptimizedLayerByLayer.h"
+
+/**
+ * How to use: ./Weight_extractor arg1 arg2
+ * 
+ * @param arg1 : [binary file]
+ * @param arg2 : [layer_name] 
+ * @return [binary file] 
+ */
+
+int main(int argc, char** argv) {
+
+	Experiment<OptimizedLayerByLayer> experiment(argc, argv, "weights_extractor");
+	// Sim load
+	experiment.load(argv[1]);
+	std::string layer_name = argv[2];
+	experiment.initialize(Shape({28, 28, 1}));
+
+	std::vector<std::vector<std::vector<std::vector<float>>>> loaded_weights = dynamic_cast<layer::Convolution&>(experiment.layer(layer_name)).get_weights();
+
+	// Save to another binary
+	std::ofstream file("weights_"+experiment.layer(layer_name).name(), std::ios::out | std::ios::trunc | std::ios::binary);
+
+	file.imbue(std::locale("C.UTF-8"));
+	
+	for(size_t x = 0; x < loaded_weights.size(); x++ ){
+
+	   for(size_t y = 0; y < loaded_weights[x].size(); y++ ){
+
+		   for(size_t z = 0; z < loaded_weights[x][y].size(); z++ ){
+
+			const char* buffer = (char*)(&loaded_weights[x][y][z][0]);
+			file.write(buffer, loaded_weights[x][y][z].size() * sizeof(float));
+ 
+			}
+	   }
+	}
+	
+	file.close();
+}
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