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https://github.com/augustin64/projet-tipe
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Reduce arguments in functions in 'free.c'
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@ -148,8 +148,9 @@ void free_network(Network* network) {
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// ----------------------- Pour le d_network -----------------------
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// ----------------------- Pour le d_network -----------------------
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void free_d_convolution(Network* network, D_Network* d_network, int pos) {
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void free_d_convolution(Network* network, int pos) {
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Kernel_cnn* k_pos = network->kernel[pos]->cnn;
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Kernel_cnn* k_pos = network->kernel[pos]->cnn;
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D_Network* d_network = network->d_network;
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D_Kernel_cnn* d_k_pos = d_network->kernel[pos]->cnn;
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D_Kernel_cnn* d_k_pos = d_network->kernel[pos]->cnn;
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int c = k_pos->columns;
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int c = k_pos->columns;
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int k_size = k_pos->k_size;
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int k_size = k_pos->k_size;
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@ -206,8 +207,9 @@ void free_d_convolution(Network* network, D_Network* d_network, int pos) {
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}
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}
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}
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}
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void free_d_dense(Network* network, D_Network* d_network, int pos) {
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void free_d_dense(Network* network, int pos) {
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D_Kernel_nn* d_k_pos = d_network->kernel[pos]->nn;
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D_Kernel_nn* d_k_pos = d_network->kernel[pos]->nn;
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D_Network* d_network = network->d_network;
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int dim = network->kernel[pos]->nn->size_input;
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int dim = network->kernel[pos]->nn->size_input;
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for (int i=0; i < dim; i++) {
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for (int i=0; i < dim; i++) {
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gree(d_k_pos->d_weights[i], true);
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gree(d_k_pos->d_weights[i], true);
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@ -229,8 +231,9 @@ void free_d_dense(Network* network, D_Network* d_network, int pos) {
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#endif
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#endif
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}
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}
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void free_d_dense_linearisation(Network* network, D_Network* d_network, int pos) {
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void free_d_dense_linearisation(Network* network, int pos) {
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D_Kernel_nn* d_k_pos = d_network->kernel[pos]->nn;
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D_Kernel_nn* d_k_pos = d_network->kernel[pos]->nn;
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D_Network* d_network = network->d_network;
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int dim = network->kernel[pos]->nn->size_input;
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int dim = network->kernel[pos]->nn->size_input;
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if (network->finetuning <= NN_AND_LINEARISATION) {
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if (network->finetuning <= NN_AND_LINEARISATION) {
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@ -261,12 +264,12 @@ void free_d_network_creation(Network* network, D_Network* d_network) {
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for (int i=0; i < network->max_size-1; i++) {
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for (int i=0; i < network->max_size-1; i++) {
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D_Kernel* d_k_i = d_network->kernel[i];
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D_Kernel* d_k_i = d_network->kernel[i];
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if (d_k_i->cnn) { // Convolution
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if (d_k_i->cnn) { // Convolution
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free_d_convolution(network, d_network, i);
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free_d_convolution(network, i);
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} else if (d_k_i->nn) { // Dense
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} else if (d_k_i->nn) { // Dense
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if (network->kernel[i]->linearisation == DOESNT_LINEARISE) { // Vecteur -> Vecteur
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if (network->kernel[i]->linearisation == DOESNT_LINEARISE) { // Vecteur -> Vecteur
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free_d_dense(network, d_network, i);
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free_d_dense(network, i);
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} else { // Matrice -> Vecteur
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} else { // Matrice -> Vecteur
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free_d_dense_linearisation(network, d_network, i);
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free_d_dense_linearisation(network, i);
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}
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}
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}
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}
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gree(network->kernel[i], true);
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gree(network->kernel[i], true);
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@ -50,17 +50,17 @@ void free_network(Network* network);
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/*
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/*
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* Libère l'espace mémoire alloué pour une d_convolution
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* Libère l'espace mémoire alloué pour une d_convolution
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*/
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*/
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void free_d_convolution(Network* network, D_Network* d_network, int pos);
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void free_d_convolution(Network* network, int pos);
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/*
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/*
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* Libère l'espace mémoire alloué pour une d_dense
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* Libère l'espace mémoire alloué pour une d_dense
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*/
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*/
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void free_d_dense(Network* network, D_Network* d_network, int pos);
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void free_d_dense(Network* network, int pos);
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/*
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/*
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* Libère l'espace mémoire alloué pour une d_dense_linearisation
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* Libère l'espace mémoire alloué pour une d_dense_linearisation
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*/
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*/
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void free_d_dense_linearisation(Network* network, D_Network* d_network, int pos);
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void free_d_dense_linearisation(Network* network, int pos);
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/*
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/*
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* Libère entièrement l'espace mémoire alloué dans 'create_d_network' (creation.c)
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* Libère entièrement l'espace mémoire alloué dans 'create_d_network' (creation.c)
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