fanasina/y_project
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

[update] test y_nnn

Browse Source
This commit is contained in:
fanasina
2026-02-11 08:34:57 +01:00
parent 20e001ceb4
commit 1fa118002e
2 changed files with 24 additions and 18 deletions
Download Patch File Download Diff File Expand all files Collapse all files
y_network_neural_network_/test/is_good.c
+24 -18
View File
@@ -773,14 +773,14 @@ struct status_qlearning *qlstatus = create_status_qlearning ();
}
HIDE_TEST(extract_with_pconf){
TEST(extract_with_pconf){
size_t nb_block = 7;
size_t dim= 2;
struct blocks * path = create_blocks(nb_block, dim);
LOG("debug: f_name = %s\n", __func__);
#if 1
#if 0
copy_coordinate(path->lower_bound_block[0], (float[]){0,0});
copy_coordinate(path->upper_bound_block[0], (float[]){100,250});
@@ -797,9 +797,10 @@ HIDE_TEST(extract_with_pconf){
copy_coordinate(path->lower_bound_block[6], (float[]){0,250});
copy_coordinate(path->upper_bound_block[6], (float[]){410,300});
#else
#if 0
/*
copy_coordinate(path->lower_bound_block[4], (float[]){0,0});
copy_coordinate(path->upper_bound_block[4], (float[]){150,250});
@@ -816,10 +817,10 @@ HIDE_TEST(extract_with_pconf){
copy_coordinate(path->lower_bound_block[5], (float[]){0,250});
copy_coordinate(path->upper_bound_block[5], (float[]){410,300});
#else
#if 1
copy_coordinate(path->lower_bound_block[0], (float[]){0,0});
copy_coordinate(path->lower_bound_block[0], (float[]){0,0});
copy_coordinate(path->upper_bound_block[0], (float[]){150,250});
copy_coordinate(path->lower_bound_block[1], (float[]){150,0});
copy_coordinate(path->upper_bound_block[1], (float[]){250,150});
@@ -834,7 +835,8 @@ copy_coordinate(path->lower_bound_block[0], (float[]){0,0});
copy_coordinate(path->lower_bound_block[6], (float[]){0,250});
copy_coordinate(path->upper_bound_block[6], (float[]){410,300});
#else
#if 0
copy_coordinate(path->lower_bound_block[0], (float[]){0,300});
copy_coordinate(path->upper_bound_block[0], (float[]){400,700});
@@ -850,9 +852,9 @@ copy_coordinate(path->lower_bound_block[0], (float[]){0,0});
copy_coordinate(path->upper_bound_block[5], (float[]){1100,975});
copy_coordinate(path->lower_bound_block[6], (float[]){100,700});
copy_coordinate(path->upper_bound_block[6], (float[]){800,975});
*/
#else
#if 0
copy_coordinate(path->lower_bound_block[0], (float[]){0,3});
copy_coordinate(path->upper_bound_block[0], (float[]){4,7});
@@ -870,6 +872,10 @@ copy_coordinate(path->lower_bound_block[0], (float[]){0,0});
copy_coordinate(path->upper_bound_block[6], (float[]){8,9.75});
#endif
#endif
#endif
#endif
#endif
update_bounds_limits_blocks(path);
@@ -885,7 +891,7 @@ copy_coordinate(path->lower_bound_block[0], (float[]){0,0});
int randomRange = 500;
size_t nb_prod_thread = 2;
size_t nb_calc_thread = 4;
float learning_rate = 0.0007 /*0.001*//* 0.0001*/; /* 0.000001*/ /* 0.001*/;
float learning_rate = 0.007 /*0.001*//* 0.0001*/; /* 0.000001*/ /* 0.001*/;
struct networks_qlearning *nnetworks = create_network_qlearning(
pconf,
randomize, minR, maxR, randomRange,
@@ -979,7 +985,7 @@ struct status_qlearning *qlstatus = create_status_qlearning ();
struct arg_run_qlearn_bprint *argQL_BP = create_arg_run_qlearn_bprint(bash_arg, rlAgent);
struct arg_var_ * var = create_arg_var_(y_nnn_manager_handle_input, argQL_BP);
struct y_socket_t *argS = y_socket_create("1600", 2, 3, var);
struct y_socket_t *argS = y_socket_create("1609", 2, 3, var);
pthread_t pollTh;
@@ -1006,7 +1012,7 @@ struct status_qlearning *qlstatus = create_status_qlearning ();
TEST(Transfert_learn_mini_learn){
HIDE_TEST(Transfert_learn_mini_learn){
size_t nb_block = 7;
size_t dim= 2;
struct blocks * path = create_blocks(nb_block, dim);
@@ -1031,7 +1037,7 @@ TEST(Transfert_learn_mini_learn){
copy_coordinate(path->upper_bound_block[6], (float[]){410,300});
#else
#if 1
#if 0
copy_coordinate(path->lower_bound_block[4], (float[]){0,0});
@@ -1051,7 +1057,7 @@ TEST(Transfert_learn_mini_learn){
#else
#if 0
#if 1
copy_coordinate(path->lower_bound_block[0], (float[]){0,0});
copy_coordinate(path->upper_bound_block[0], (float[]){150,250});
copy_coordinate(path->lower_bound_block[1], (float[]){150,0});
@@ -1122,7 +1128,7 @@ copy_coordinate(path->lower_bound_block[0], (float[]){0,0});
int randomRange = 500;
size_t nb_prod_thread = 2;
size_t nb_calc_thread = 4;
float learning_rate = 0.000001 /*0.001*//* 0.0001*/; /* 0.000001*/ /* 0.001*/;
float learning_rate = 0.00001 /*0.001*//* 0.0001*/; /* 0.000001*/ /* 0.001*/;
struct networks_qlearning *nnetworks = create_network_qlearning(
pconf,
randomize, minR, maxR, randomRange,
@@ -1136,8 +1142,8 @@ EXTRACT_FILE_TO_TENSOR_ATTRIBUTE_NNEURONS(TYPE_FLOAT, nnetworks->target_net, wei
struct main_list_ptr_DIMENSION *m_l_dim=create_var_list_ptr_DIMENSION();
//struct main_list_dimension *m_l_dim=create_var_list_dimension();
EXTRACT_FILE_TO_TENSOR_ATTRIBUTE_NNEURONS_PCONF(TYPE_FLOAT, nnetworks->main_net, weight_in, ".ff_main_TEST_extract_with_pconf____9.symlink",m_l_dim);
EXTRACT_FILE_TO_TENSOR_ATTRIBUTE_NNEURONS_PCONF(TYPE_FLOAT, nnetworks->target_net, weight_in, ".ff_target_TEST_extract_with_pconf____9.symlink",m_l_dim);
EXTRACT_FILE_TO_TENSOR_ATTRIBUTE_NNEURONS_PCONF(TYPE_FLOAT, nnetworks->main_net, weight_in, ".ff_learnDir/.ff_main_TEST_extract_with_pconf____9;1770646800;2400;",m_l_dim);
EXTRACT_FILE_TO_TENSOR_ATTRIBUTE_NNEURONS_PCONF(TYPE_FLOAT, nnetworks->target_net, weight_in, ".ff_learnDir/.ff_target_TEST_extract_with_pconf____9;1770646800;2400;",m_l_dim);
for(struct list_ptr_DIMENSION *local_l_dim=m_l_dim->begin_list; local_l_dim; local_l_dim=local_l_dim->next){
size_t i=local_l_dim->index;
@@ -1182,7 +1188,7 @@ struct status_qlearning *qlstatus = create_status_qlearning ();
0.95/*float gamma*/,
learning_rate,
0 /* (not used!)float discount_factor*/,
0.000001/*1.0*//*0.99*//*0.0001*//*0.99*/ /*float exploration_factor*/,
0.0001/*1.0*//*0.99*//*0.0001*//*0.99*/ /*float exploration_factor*/,
20/*long int nb_training_before_update_weight_in_target*/,
10000/*size_t number_episodes*/
);
@@ -1217,7 +1223,7 @@ struct status_qlearning *qlstatus = create_status_qlearning ();
struct arg_run_qlearn_bprint *argQL_BP = create_arg_run_qlearn_bprint(bash_arg, rlAgent);
struct arg_var_ * var = create_arg_var_(y_nnn_manager_handle_input, argQL_BP);
struct y_socket_t *argS = y_socket_create("1600", 2, 3, var);
struct y_socket_t *argS = y_socket_create("1610", 2, 3, var);
pthread_t pollTh;