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/*
* This file is part of FFmpeg.
*
* FFmpeg is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* FFmpeg is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with FFmpeg; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*/
/**
* @file
* DNN common functions different backends.
*/
#include "dnn_backend_common.h"
#define DNN_ASYNC_SUCCESS (void *)0
#define DNN_ASYNC_FAIL (void *)-1
int ff_check_exec_params(void *ctx, DNNBackendType backend, DNNFunctionType func_type, DNNExecBaseParams *exec_params)
{
if (!exec_params) {
av_log(ctx, AV_LOG_ERROR, "exec_params is null when execute model.\n");
return AVERROR(EINVAL);
}
if (!exec_params->in_frame) {
av_log(ctx, AV_LOG_ERROR, "in frame is NULL when execute model.\n");
return AVERROR(EINVAL);
}
if (!exec_params->out_frame && func_type == DFT_PROCESS_FRAME) {
av_log(ctx, AV_LOG_ERROR, "out frame is NULL when execute model.\n");
return AVERROR(EINVAL);
}
if (exec_params->nb_output != 1 && backend != DNN_TF) {
// currently, the filter does not need multiple outputs,
// so we just pending the support until we really need it.
avpriv_report_missing_feature(ctx, "multiple outputs");
return AVERROR(EINVAL);
}
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;
}
/**
* Thread routine for async execution.
* @param args pointer to DNNAsyncExecModule module
*/
static void *async_thread_routine(void *args)
{
DNNAsyncExecModule *async_module = args;
void *request = async_module->args;
if (async_module->start_inference(request) != DNN_SUCCESS) {
return DNN_ASYNC_FAIL;
}
async_module->callback(request);
return DNN_ASYNC_SUCCESS;
}
DNNReturnType ff_dnn_async_module_cleanup(DNNAsyncExecModule *async_module)
{
void *status = 0;
if (!async_module) {
return DNN_ERROR;
}
#if HAVE_PTHREAD_CANCEL
pthread_join(async_module->thread_id, &status);
if (status == DNN_ASYNC_FAIL) {
av_log(NULL, AV_LOG_ERROR, "Last Inference Failed.\n");
return DNN_ERROR;
}
#endif
async_module->start_inference = NULL;
async_module->callback = NULL;
async_module->args = NULL;
return DNN_SUCCESS;
}
DNNReturnType ff_dnn_start_inference_async(void *ctx, DNNAsyncExecModule *async_module)
{
int ret;
void *status = 0;
if (!async_module) {
av_log(ctx, AV_LOG_ERROR, "async_module is null when starting async inference.\n");
return DNN_ERROR;
}
#if HAVE_PTHREAD_CANCEL
pthread_join(async_module->thread_id, &status);
if (status == DNN_ASYNC_FAIL) {
av_log(ctx, AV_LOG_ERROR, "Unable to start inference as previous inference failed.\n");
return DNN_ERROR;
}
ret = pthread_create(&async_module->thread_id, NULL, async_thread_routine, async_module);
if (ret != 0) {
av_log(ctx, AV_LOG_ERROR, "Unable to start async inference.\n");
return DNN_ERROR;
}
#else
if (async_module->start_inference(async_module->args) != DNN_SUCCESS) {
return DNN_ERROR;
}
async_module->callback(async_module->args);
#endif
return DNN_SUCCESS;
}
DNNAsyncStatusType ff_dnn_get_result_common(Queue *task_queue, AVFrame **in, AVFrame **out)
{
TaskItem *task = ff_queue_peek_front(task_queue);
if (!task) {
return DAST_EMPTY_QUEUE;
}
if (task->inference_done != task->inference_todo) {
return DAST_NOT_READY;
}
*in = task->in_frame;
*out = task->out_frame;
ff_queue_pop_front(task_queue);
av_freep(&task);
return DAST_SUCCESS;
}
DNNReturnType ff_dnn_fill_gettingoutput_task(TaskItem *task, DNNExecBaseParams *exec_params, void *backend_model, int input_height, int input_width, void *ctx)
{
AVFrame *in_frame = NULL;
AVFrame *out_frame = NULL;
in_frame = av_frame_alloc();
if (!in_frame) {
av_log(ctx, AV_LOG_ERROR, "Failed to allocate memory for input frame\n");
return DNN_ERROR;
}
out_frame = av_frame_alloc();
if (!out_frame) {
av_frame_free(&in_frame);
av_log(ctx, AV_LOG_ERROR, "Failed to allocate memory for output frame\n");
return DNN_ERROR;
}
in_frame->width = input_width;
in_frame->height = input_height;
exec_params->in_frame = in_frame;
exec_params->out_frame = out_frame;
return ff_dnn_fill_task(task, exec_params, backend_model, 0, 0);
}
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