1 files changed, 22 insertions, 34 deletions

diff --git a/libavfilter/dnn_backend_tf.c b/libavfilter/dnn_backend_tf.c
index a838907d98..7bee45c5d3 100644
--- a/libavfilter/dnn_backend_tf.c
+++ b/libavfilter/dnn_backend_tf.c
@@ -35,7 +35,6 @@ typedef struct TFModel{
     TF_Status *status;
     TF_Output input, output;
     TF_Tensor *input_tensor;
-    DNNData *output_data;
 } TFModel;
 
 static void free_buffer(void *data, size_t length)
@@ -76,13 +75,12 @@ static TF_Buffer *read_graph(const char *model_filename)
     return graph_buf;
 }
 
-static DNNReturnType set_input_output_tf(void *model, DNNData *input, const char *input_name, DNNData *output, const char *output_name)
+static DNNReturnType set_input_output_tf(void *model, DNNData *input, const char *input_name, const char *output_name)
 {
     TFModel *tf_model = (TFModel *)model;
     int64_t input_dims[] = {1, input->height, input->width, input->channels};
     TF_SessionOptions *sess_opts;
     const TF_Operation *init_op = TF_GraphOperationByName(tf_model->graph, "init");
-    TF_Tensor *output_tensor;
 
     // Input operation
     tf_model->input.oper = TF_GraphOperationByName(tf_model->graph, input_name);
@@ -132,26 +130,6 @@ static DNNReturnType set_input_output_tf(void *model, DNNData *input, const char
         }
     }
 
-    // Execute network to get output height, width and number of channels
-    TF_SessionRun(tf_model->session, NULL,
-                  &tf_model->input, &tf_model->input_tensor, 1,
-                  &tf_model->output, &output_tensor, 1,
-                  NULL, 0, NULL, tf_model->status);
-    if (TF_GetCode(tf_model->status) != TF_OK){
-        return DNN_ERROR;
-    }
-    else{
-        output->height = TF_Dim(output_tensor, 1);
-        output->width = TF_Dim(output_tensor, 2);
-        output->channels = TF_Dim(output_tensor, 3);
-        output->data = av_malloc(output->height * output->width * output->channels * sizeof(float));
-        if (!output->data){
-            return DNN_ERROR;
-        }
-        tf_model->output_data = output;
-        TF_DeleteTensor(output_tensor);
-    }
-
     return DNN_SUCCESS;
 }
 
@@ -489,7 +467,6 @@ DNNModel *ff_dnn_load_model_tf(const char *model_filename)
     }
     tf_model->session = NULL;
     tf_model->input_tensor = NULL;
-    tf_model->output_data = NULL;
 
     if (load_tf_model(tf_model, model_filename) != DNN_SUCCESS){
         if (load_native_model(tf_model, model_filename) != DNN_SUCCESS){
@@ -508,10 +485,12 @@ DNNModel *ff_dnn_load_model_tf(const char *model_filename)
 
 
 
-DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model)
+DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model, DNNData *output)
 {
     TFModel *tf_model = (TFModel *)model->model;
     TF_Tensor *output_tensor;
+    uint64_t count;
+    uint64_t old_count = output->height * output->width * output->channels * sizeof(float);
 
     TF_SessionRun(tf_model->session, NULL,
                   &tf_model->input, &tf_model->input_tensor, 1,
@@ -521,14 +500,26 @@ DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model)
     if (TF_GetCode(tf_model->status) != TF_OK){
         return DNN_ERROR;
     }
-    else{
-        memcpy(tf_model->output_data->data, TF_TensorData(output_tensor),
-               tf_model->output_data->height * tf_model->output_data->width *
-               tf_model->output_data->channels * sizeof(float));
-        TF_DeleteTensor(output_tensor);
 
-        return DNN_SUCCESS;
+    output->height = TF_Dim(output_tensor, 1);
+    output->width = TF_Dim(output_tensor, 2);
+    output->channels = TF_Dim(output_tensor, 3);
+    count = output->height * output->width * output->channels * sizeof(float);
+    if (output->data) {
+        if (count > old_count) {
+            av_freep(&output->data);
+        }
+    }
+    if (!output->data) {
+        output->data = av_malloc(count);
+        if (!output->data){
+            return DNN_ERROR;
+        }
     }
+    memcpy(output->data, TF_TensorData(output_tensor), count);
+    TF_DeleteTensor(output_tensor);
+
+    return DNN_SUCCESS;
 }
 
 void ff_dnn_free_model_tf(DNNModel **model)
@@ -550,9 +541,6 @@ void ff_dnn_free_model_tf(DNNModel **model)
         if (tf_model->input_tensor){
             TF_DeleteTensor(tf_model->input_tensor);
         }
-        if (tf_model->output_data){
-            av_freep(&tf_model->output_data->data);
-        }
         av_freep(&tf_model);
         av_freep(model);
     }