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modify COMPARE_N in tool, modify attribute of vehicle by using tensor

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fanasina
2024-06-13 23:35:25 +02:00
parent 13f91583bb
commit 9927d6642c
12 changed files with 217 additions and 56 deletions
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neuron_t/test/is_good.c
+21 -3
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@@ -21,6 +21,7 @@
#define VALGRIND_ 1
float L(float t, float o){
return (o - t) * (o - t)/2;
}
@@ -356,13 +357,30 @@ TEST(copy_weight_in_neurons){
size_t reps = learning_online2_neurons_TYPE_FLOAT(bn,ds,cond);
setup_all_layers_functions_TYPE_FLOAT(cpyn,
tensorContractnProdThread_TYPE_FLOAT,
tensorProdThread_TYPE_FLOAT,
DL,
L,
f,
df);
setup_all_layers_params_TYPE_FLOAT(cpyn, 5, 1 , 0.1);
copy_weight_in_neurons_TYPE_FLOAT(cpyn, bn);
char msg[256];
tensor_TYPE_FLOAT * linked_tens = NULL;
for(size_t i=0; i<ds->size; ++i){
print_predict_by_network_with_error_neurons_TYPE_FLOAT(bn,ds->input[i],ds->target[i]);
print_predict_by_network_with_error_neurons_TYPE_FLOAT(cpyn,ds->input[i],ds->target[i]);
// print_predict_by_network_with_error_neurons_TYPE_FLOAT(bn,ds->input[i],ds->target[i]);
// print_predict_by_network_with_error_neurons_TYPE_FLOAT(cpyn,ds->input[i],ds->target[i]);
calculate_output_by_network_neurons_TYPE_FLOAT(bn,ds->input[i],&linked_tens);
sprintf(msg," output base %ld ",i);
print_tensor_msg_TYPE_FLOAT(linked_tens,msg);
calculate_output_by_network_neurons_TYPE_FLOAT(cpyn,ds->input[i],&linked_tens);
sprintf(msg," output copy %ld ",i);
print_tensor_msg_TYPE_FLOAT(linked_tens,msg);
}