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Removal of useless variables

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This commit is contained in:
julienChemillier 2023-03-13 13:43:42 +01:00
parent 2a88621c34
commit b3bc4b7787
1 changed files with 1 additions and 14 deletions
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15
src/cnn/utils.c
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@ -33,7 +33,6 @@ void knuth_shuffle(int* tab, int n) {
}
bool equals_networks(Network* network1, Network* network2) {
int output_dim;
checkEquals(size, "size", -1);
checkEquals(initialisation, "initialisation", -1);
checkEquals(dropout, "dropout", -1);
@ -68,16 +67,11 @@ bool equals_networks(Network* network1, Network* network2) {
}
} else {
// Type CNN
output_dim = network1->width[i+1];
checkEquals(kernel[i]->cnn->k_size, "kernel[i]->k_size", i);
checkEquals(kernel[i]->cnn->rows, "kernel[i]->rows", i);
checkEquals(kernel[i]->cnn->columns, "kernel[i]->columns", i);
for (int j=0; j < network1->kernel[i]->cnn->columns; j++) {
for (int k=0; k < output_dim; k++) {
for (int l=0; l < output_dim; l++) {
checkEquals(kernel[i]->cnn->bias[j], "kernel[i]->cnn->bias[j][k][l]", j);
}
}
checkEquals(kernel[i]->cnn->bias[j], "kernel[i]->cnn->bias[j]", j);
}
for (int j=0; j < network1->kernel[i]->cnn->rows; j++) {
for (int k=0; k < network1->kernel[i]->cnn->columns; k++) {
@ -106,7 +100,6 @@ Network* copy_network(Network* network) {
int rows;
int k_size;
int columns;
int output_dim;
copyVar(dropout);
copyVar(learning_rate);
@ -172,8 +165,6 @@ Network* copy_network(Network* network) {
rows = network->kernel[i]->cnn->rows;
k_size = network->kernel[i]->cnn->k_size;
columns = network->kernel[i]->cnn->columns;
output_dim = network->width[i+1];
network_cp->kernel[i]->nn = NULL;
network_cp->kernel[i]->cnn = (Kernel_cnn*)nalloc(1, sizeof(Kernel_cnn));
@ -252,7 +243,6 @@ void copy_network_parameters(Network* network_src, Network* network_dest) {
int rows;
int k_size;
int columns;
int output_dim;
copyVarParams(learning_rate);
@ -276,7 +266,6 @@ void copy_network_parameters(Network* network_src, Network* network_dest) {
rows = network_src->kernel[i]->cnn->rows;
k_size = network_src->kernel[i]->cnn->k_size;
columns = network_src->kernel[i]->cnn->columns;
output_dim = network_src->width[i+1];
for (int j=0; j < columns; j++) {
copyVarParams(kernel[i]->cnn->bias[j]);
@ -309,7 +298,6 @@ int count_null_weights(Network* network) {
int rows;
int k_size;
int columns;
int output_dim;
for (int i=0; i < size-1; i++) {
if (!network->kernel[i]->cnn && network->kernel[i]->nn) { // Cas du NN
@ -331,7 +319,6 @@ int count_null_weights(Network* network) {
rows = network->kernel[i]->cnn->rows;
k_size = network->kernel[i]->cnn->k_size;
columns = network->kernel[i]->cnn->columns;
output_dim = network->width[i+1];
for (int j=0; j < columns; j++) {
null_bias += fabs(network->kernel[i]->cnn->bias[j]) <= epsilon;