add some test deep reinforcement learning

neuron_t/src/neuron_t/nneuron_t_file.h

@@ -193,7 +193,7 @@ do{\
       \
       ppEnd=ttmp;\
       if( !bracketsDown){\
-        while(*ttmp!=0 && *ppEnd!=']' ){\
+        while(*ttmp!='\0' && *ppEnd!=']' ){\
           ss = strtoul(ttmp, &ppEnd, 10);\
           while(ttmp == ppEnd && *ttmp!='\0'  && ppEnd[0] !=']'){\
             ttmp++;\
@@ -207,11 +207,11 @@ do{\
         if( *ttmp ==']'){\
           dim=create_dim_from_list_perm(l_p);\
           bracketsDown = true;\
-          ttmp++; ppEnd++;\
+          /*ttmp++; ppEnd++;*/\
         }\
       \
       }\
-      else{/*if(bracketsDown)*/\
+      if(bracketsDown){\
  \
         if(T->dim->rank == dim->rank){\
           \
@@ -235,7 +235,6 @@ do{\
         }else {\
           tensorNotMatched = true;\
           Done = true;\
-          printf(" T->%s doesn't have the same rank as the input ! extract failed\n",#attribute);\
           break;\
         }\
       }\

neuron_t/test/is_good.c

@@ -399,7 +399,6 @@ TEST(copy_weight_in_neurons){
 }
 
 
-
 TEST(Extract_weight_in_neurons){
    bool rec_randomizeInitWeight = randomizeInitWeight;
    randomizeInitWeight =false;
@@ -424,7 +423,7 @@ TEST(Extract_weight_in_neurons){
   setup_all_layers_params_TYPE_FLOAT(bn, 5, 1 ,  0.1);
 
 
-  size_t reps = learning_online2_neurons_TYPE_FLOAT(bn,ds,cond);
+  size_t reps = 1;// learning_online2_neurons_TYPE_FLOAT(bn,ds,cond);
   EXPORT_TO_FILE_TENSOR_ATTRIBUTE_IN_NNEURONS(TYPE_FLOAT, bn, weight_in, ".ff_bn_weight_in__toExtract.txt")
   
   setup_all_layers_functions_TYPE_FLOAT(cpyn,
@@ -468,6 +467,77 @@ TEST(Extract_weight_in_neurons){
 
 
 
+TEST(Extract_EXPORT_weight_in_neurons){
+   bool rec_randomizeInitWeight = randomizeInitWeight;
+   randomizeInitWeight =false;
+  
+  data_set_TYPE_FLOAT *ds= fill_data_set_from_file_TYPE_FLOAT("xor.txt",1);
+//  print_data_set_msg_TYPE_FLOAT(ds,"data");
+  //config_layers *pconf = create_config_layers_from_OneD(3,(size_t[]){2,4,1}); /* 2 input , 1 target; 1 hidden layer with 5 neurons */
+  config_layers *pconf = create_config_layers_from_OneD(4,(size_t[]){3,24,24,3});
+  neurons_TYPE_FLOAT *bn=NULL, *tmp ;
+  neurons_TYPE_FLOAT *cpyn=NULL;
+  //setup_networks_alloutputs_config_GLOBAL_rdm01_TYPE_FLOAT(setup_networks_alloutputs_config_TYPE_FLOAT(&bn,pconf);bn,pconf);
+     setup_networks_alloutputs_config_TYPE_FLOAT(&bn,pconf,false,0,1,5000);
+     setup_networks_alloutputs_config_TYPE_FLOAT(&cpyn, pconf,false,0,1,5000);
+  
+  EXTRACT_FILE_TO_TENSOR_ATTRIBUTE_NNEURONS(TYPE_FLOAT, bn, weight_in, ".ff_target_20240717_01h43m41s_13300.txt")
+
+  setup_all_layers_functions_TYPE_FLOAT(bn,
+    tensorContractnProdThread_TYPE_FLOAT,
+    tensorProdThread_TYPE_FLOAT,
+    DL,
+    L,
+    f,
+    df);
+
+  setup_all_layers_params_TYPE_FLOAT(bn, 5, 1 ,  0.1);
+
+
+  size_t reps = 1;// learning_online2_neurons_TYPE_FLOAT(bn,ds,cond);
+  EXPORT_TO_FILE_TENSOR_ATTRIBUTE_IN_NNEURONS(TYPE_FLOAT, bn, weight_in, ".ff_bn_weight_in__toCMP.txt")
+  
+  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);
+
+//  EXTRACT_FILE_TO_TENSOR_ATTRIBUTE_NNEURONS(TYPE_FLOAT, cpyn, weight_in, ".ff_bn_weight_in__toExtract.txt")
+//  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]);
+    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);
+  }
+
+ 
+//  EXPORT_TO_FILE_TENSOR_ATTRIBUTE_IN_NNEURONS(TYPE_FLOAT, cpyn, weight_in, ".ff_bn_weight_in__exportedCPYfromExtract.txt")
+
+
+  free_data_set_TYPE_FLOAT(ds);
+  free_neurons_TYPE_FLOAT(bn); 
+  free_neurons_TYPE_FLOAT(cpyn); 
+
+  LOG("reps = %ld\n",reps);
+  randomizeInitWeight = rec_randomizeInitWeight;
+}
+
+
+
+
 
 
 int main(int argc, char **argv){