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y_socket: transfert kill to extern, y_nnn: debug leak mem

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fanasina
2025-11-23 13:30:01 +01:00
parent f5309735d9
commit c60e41cf0f
7 changed files with 59 additions and 19 deletions
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deepQlearn_0/src/deepQlearning/learn_to_drive.c
+14 -5
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@@ -389,7 +389,7 @@ char *fileNameDateScore(char * pre, char* post,size_t score){
const char* target_symlink = ".ff_target_.symlink";
const char* main_symlink = ".ff_main_.symlink";
const char* dest_folder=".ff_learnDir";
void* learn_to_drive(void * lrnarg){
struct RL_agent *rlAgent = (struct RL_agent *)lrnarg;
@@ -401,8 +401,17 @@ void* learn_to_drive(void * lrnarg){
struct status_qlearning * qlStatus = rlAgent->status;
//struct print_params * pprint = rlAgent->pprint;
char msg[100];
////pthread_t threadPrint;
if(mkdir(dest_folder, 0700)==-1){
if(errno != EEXIST){
perror(" create folder dst\n");
}
}
else{
printf("debug: %s successfully created\n",dest_folder);
}
////pthread_t threadPrint;
////pthread_create(&threadPrint, NULL, runPrint, (void*)rlAgent);
// while(true){
@@ -429,7 +438,7 @@ void* learn_to_drive(void * lrnarg){
if(car_status->cumulative_reward > qlStatus->progress_best_cumul->end_list->value){
push_back_list_TYPE_L_INT(qlStatus->progress_best_cumul, car_status->cumulative_reward);
char *file = fileNameDateScore(".ff_main_",".txt",car_status->cumulative_reward);
char *file = fileNameDateScore(".ff_learnDir/.ff_main_",".txt",car_status->cumulative_reward);
EXPORT_TO_FILE_TENSOR_ATTRIBUTE_IN_NNEURONS(TYPE_FLOAT, rlAgent->networks->main_net ,weight_in, file);
unlink(main_symlink);
if(symlink(file, main_symlink)==-1){
@@ -438,7 +447,7 @@ void* learn_to_drive(void * lrnarg){
}
else write(1,":",1);
free(file);
file = fileNameDateScore(".ff_target_",".txt",car_status->cumulative_reward);
file = fileNameDateScore(".ff_learnDir/.ff_target_",".txt",car_status->cumulative_reward);
EXPORT_TO_FILE_TENSOR_ATTRIBUTE_IN_NNEURONS(TYPE_FLOAT, rlAgent->networks->target_net ,weight_in, file);
unlink(target_symlink);
if(symlink(file, target_symlink)==-1){