lavfi/dnn: Convert output_name to char** in TaskItem

Convert output_name to char **output_names in TaskItem and use it as
a pointer to array of output names in the DNN backend.

Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
This commit is contained in:
Shubhanshu Saxena 2021-06-05 23:38:03 +05:30 committed by Guo Yejun
parent f5ab8905fd
commit 446b4f77c1
2 changed files with 6 additions and 6 deletions

View File

@ -32,7 +32,7 @@ typedef struct TaskItem {
AVFrame *in_frame;
AVFrame *out_frame;
const char *input_name;
const char *output_name;
const char **output_names;
int async;
int do_ioproc;
uint32_t inference_todo;

View File

@ -208,7 +208,7 @@ static void infer_completion_callback(void *args)
DNNData output;
OVContext *ctx = &ov_model->ctx;
status = ie_infer_request_get_blob(request->infer_request, task->output_name, &output_blob);
status = ie_infer_request_get_blob(request->infer_request, task->output_names[0], &output_blob);
if (status != OK) {
//incorrect output name
char *model_output_name = NULL;
@ -222,7 +222,7 @@ static void infer_completion_callback(void *args)
}
av_log(ctx, AV_LOG_ERROR,
"output \"%s\" may not correct, all output(s) are: \"%s\"\n",
task->output_name, all_output_names);
task->output_names[0], all_output_names);
return;
}
@ -676,7 +676,7 @@ static DNNReturnType get_output_ov(void *model, const char *input_name, int inpu
task.async = 0;
task.input_name = input_name;
task.in_frame = in_frame;
task.output_name = output_name;
task.output_names = &output_name;
task.out_frame = out_frame;
task.model = ov_model;
@ -796,7 +796,7 @@ DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNExecBaseParams *
task.async = 0;
task.input_name = exec_params->input_name;
task.in_frame = exec_params->in_frame;
task.output_name = exec_params->output_names[0];
task.output_names = &exec_params->output_names[0];
task.out_frame = exec_params->out_frame ? exec_params->out_frame : exec_params->in_frame;
task.model = ov_model;
@ -843,7 +843,7 @@ DNNReturnType ff_dnn_execute_model_async_ov(const DNNModel *model, DNNExecBasePa
task->async = 1;
task->input_name = exec_params->input_name;
task->in_frame = exec_params->in_frame;
task->output_name = exec_params->output_names[0];
task->output_names = &exec_params->output_names[0];
task->out_frame = exec_params->out_frame ? exec_params->out_frame : exec_params->in_frame;
task->model = ov_model;
if (ff_queue_push_back(ov_model->task_queue, task) < 0) {