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paddle/capi/examples/model_inference/dense/main.c

@@ -59,5 +59,11 @@ int main() {
   }
   printf("\n");
 
+  CHECK(paddle_matrix_destroy(prob));
+  CHECK(paddle_arguments_destroy(out_args));
+  CHECK(paddle_matrix_destroy(mat));
+  CHECK(paddle_arguments_destroy(in_args));
+  CHECK(paddle_gradient_machine_destroy(machine));
+
   return 0;
 }

paddle/capi/examples/model_inference/multi_thread/main.c

@@ -4,23 +4,23 @@
 #include "../common/common.h"
 
 #define CONFIG_BIN "./trainer_config.bin"
-#define NUM_THREAD 1000
+#define NUM_THREAD 4
 #define NUM_ITER 1000
 
 pthread_mutex_t mutex;
 
 void* thread_main(void* gm_ptr) {
   paddle_gradient_machine machine = (paddle_gradient_machine)(gm_ptr);
-
-  for (int iter = 0; iter < NUM_ITER; ++iter) {
   paddle_arguments in_args = paddle_arguments_create_none();
-    // There is only one input of this network.
-    CHECK(paddle_arguments_resize(in_args, 1));
-
   // Create input matrix.
   paddle_matrix mat = paddle_matrix_create(/* sample_num */ 1,
                                            /* size */ 784,
                                            /* useGPU */ false);
+  paddle_arguments out_args = paddle_arguments_create_none();
+  paddle_matrix prob = paddle_matrix_create_none();
+  for (int iter = 0; iter < NUM_ITER; ++iter) {
+    // There is only one input of this network.
+    CHECK(paddle_arguments_resize(in_args, 1));
 
     paddle_real* array;
 
@@ -33,12 +33,10 @@ void* thread_main(void* gm_ptr) {
 
     CHECK(paddle_arguments_set_value(in_args, 0, mat));
 
-    paddle_arguments out_args = paddle_arguments_create_none();
     CHECK(paddle_gradient_machine_forward(machine,
                                           in_args,
                                           out_args,
                                           /* isTrain */ false));
-    paddle_matrix prob = paddle_matrix_create_none();
 
     CHECK(paddle_arguments_value(out_args, 0, prob));
 
@@ -53,6 +51,10 @@ void* thread_main(void* gm_ptr) {
     pthread_mutex_unlock(&mutex);
   }
 
+  CHECK(paddle_matrix_destroy(prob));
+  CHECK(paddle_arguments_destroy(out_args));
+  CHECK(paddle_matrix_destroy(mat));
+  CHECK(paddle_arguments_destroy(in_args));
   CHECK(paddle_gradient_machine_destroy(machine));
   return NULL;
 }

paddle/capi/examples/model_inference/sequence/main.c

@@ -59,5 +59,12 @@ int main() {
   }
   printf("\n");
 
+  CHECK(paddle_matrix_destroy(prob));
+  CHECK(paddle_arguments_destroy(out_args));
+  CHECK(paddle_ivector_destroy(seq_pos));
+  CHECK(paddle_ivector_destroy(sentence));
+  CHECK(paddle_arguments_destroy(in_args));
+  CHECK(paddle_gradient_machine_destroy(machine));
+
   return 0;
 }

paddle/capi/examples/model_inference/sparse_binary/main.c

@@ -60,5 +60,11 @@ int main() {
   }
   printf("\n");
 
+  CHECK(paddle_matrix_destroy(prob));
+  CHECK(paddle_arguments_destroy(out_args));
+  CHECK(paddle_matrix_destroy(mat));
+  CHECK(paddle_arguments_destroy(in_args));
+  CHECK(paddle_gradient_machine_destroy(machine));
+
   return 0;
 }