lavfi/dnn: Fill Task using Common Function

This commit adds a common function for filling the TaskItems
in all three backends.

Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>

libavfilter/dnn/dnn_backend_common.c

@@ -49,3 +49,23 @@ int ff_check_exec_params(void *ctx, DNNBackendType backend, DNNFunctionType func
 
     return 0;
 }
+
+DNNReturnType ff_dnn_fill_task(TaskItem *task, DNNExecBaseParams *exec_params, void *backend_model, int async, int do_ioproc) {
+    if (task == NULL || exec_params == NULL || backend_model == NULL)
+        return DNN_ERROR;
+    if (do_ioproc != 0 && do_ioproc != 1)
+        return DNN_ERROR;
+    if (async != 0 && async != 1)
+        return DNN_ERROR;
+
+    task->do_ioproc = do_ioproc;
+    task->async = async;
+    task->input_name = exec_params->input_name;
+    task->in_frame = exec_params->in_frame;
+    task->out_frame = exec_params->out_frame;
+    task->model = backend_model;
+    task->nb_output = exec_params->nb_output;
+    task->output_names = exec_params->output_names;
+
+    return DNN_SUCCESS;
+}

libavfilter/dnn/dnn_backend_common.h

@@ -48,4 +48,19 @@ typedef struct InferenceItem {
 
 int ff_check_exec_params(void *ctx, DNNBackendType backend, DNNFunctionType func_type, DNNExecBaseParams *exec_params);
 
+/**
+ * Fill the Task for Backend Execution. It should be called after
+ * checking execution parameters using ff_check_exec_params.
+ *
+ * @param task pointer to the allocated task
+ * @param exec_param pointer to execution parameters
+ * @param backend_model void pointer to the backend model
+ * @param async flag for async execution. Must be 0 or 1
+ * @param do_ioproc flag for IO processing. Must be 0 or 1
+ *
+ * @retval DNN_SUCCESS if successful
+ * @retval DNN_ERROR if flags are invalid or any parameter is NULL
+ */
+DNNReturnType ff_dnn_fill_task(TaskItem *task, DNNExecBaseParams *exec_params, void *backend_model, int async, int do_ioproc);
+
 #endif

libavfilter/dnn/dnn_backend_openvino.c

@@ -793,14 +793,9 @@ DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNExecBaseParams *
         }
     }
 
-    task.do_ioproc = 1;
-    task.async = 0;
-    task.input_name = exec_params->input_name;
-    task.in_frame = exec_params->in_frame;
-    task.output_names = &exec_params->output_names[0];
-    task.out_frame = exec_params->out_frame ? exec_params->out_frame : exec_params->in_frame;
-    task.nb_output = exec_params->nb_output;
-    task.model = ov_model;
+    if (ff_dnn_fill_task(&task, exec_params, ov_model, 0, 1) != DNN_SUCCESS) {
+        return DNN_ERROR;
+    }
 
     if (extract_inference_from_task(ov_model->model->func_type, &task, ov_model->inference_queue, exec_params) != DNN_SUCCESS) {
         av_log(ctx, AV_LOG_ERROR, "unable to extract inference from task.\n");
@@ -841,14 +836,10 @@ DNNReturnType ff_dnn_execute_model_async_ov(const DNNModel *model, DNNExecBasePa
         return DNN_ERROR;
     }
 
-    task->do_ioproc = 1;
-    task->async = 1;
-    task->input_name = exec_params->input_name;
-    task->in_frame = exec_params->in_frame;
-    task->output_names = &exec_params->output_names[0];
-    task->out_frame = exec_params->out_frame ? exec_params->out_frame : exec_params->in_frame;
-    task->nb_output = exec_params->nb_output;
-    task->model = ov_model;
+    if (ff_dnn_fill_task(task, exec_params, ov_model, 1, 1) != DNN_SUCCESS) {
+        return DNN_ERROR;
+    }
+
     if (ff_queue_push_back(ov_model->task_queue, task) < 0) {
         av_freep(&task);
         av_log(ctx, AV_LOG_ERROR, "unable to push back task_queue.\n");