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/*
* Copyright (c) 2020
*
* 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 OpenVINO backend implementation.
*/
#include "dnn_backend_openvino.h"
#include "libavformat/avio.h"
#include "libavutil/avassert.h"
#include <c_api/ie_c_api.h>
typedef struct OVModel{
ie_core_t *core;
ie_network_t *network;
ie_executable_network_t *exe_network;
ie_infer_request_t *infer_request;
ie_blob_t *input_blob;
ie_blob_t **output_blobs;
uint32_t nb_output;
} OVModel;
static DNNDataType precision_to_datatype(precision_e precision)
{
switch (precision)
{
case FP32:
return DNN_FLOAT;
default:
av_assert0(!"not supported yet.");
return DNN_FLOAT;
}
}
static DNNReturnType get_input_ov(void *model, DNNData *input, const char *input_name)
{
OVModel *ov_model = (OVModel *)model;
char *model_input_name = NULL;
IEStatusCode status;
size_t model_input_count = 0;
dimensions_t dims;
precision_e precision;
status = ie_network_get_inputs_number(ov_model->network, &model_input_count);
if (status != OK)
return DNN_ERROR;
for (size_t i = 0; i < model_input_count; i++) {
status = ie_network_get_input_name(ov_model->network, i, &model_input_name);
if (status != OK)
return DNN_ERROR;
if (strcmp(model_input_name, input_name) == 0) {
ie_network_name_free(&model_input_name);
status |= ie_network_get_input_dims(ov_model->network, input_name, &dims);
status |= ie_network_get_input_precision(ov_model->network, input_name, &precision);
if (status != OK)
return DNN_ERROR;
// The order of dims in the openvino is fixed and it is always NCHW for 4-D data.
// while we pass NHWC data from FFmpeg to openvino
status = ie_network_set_input_layout(ov_model->network, input_name, NHWC);
if (status != OK)
return DNN_ERROR;
input->channels = dims.dims[1];
input->height = dims.dims[2];
input->width = dims.dims[3];
input->dt = precision_to_datatype(precision);
return DNN_SUCCESS;
}
ie_network_name_free(&model_input_name);
}
return DNN_ERROR;
}
static DNNReturnType set_input_output_ov(void *model, DNNData *input, const char *input_name, const char **output_names, uint32_t nb_output)
{
OVModel *ov_model = (OVModel *)model;
IEStatusCode status;
dimensions_t dims;
precision_e precision;
ie_blob_buffer_t blob_buffer;
status = ie_exec_network_create_infer_request(ov_model->exe_network, &ov_model->infer_request);
if (status != OK)
goto err;
status = ie_infer_request_get_blob(ov_model->infer_request, input_name, &ov_model->input_blob);
if (status != OK)
goto err;
status |= ie_blob_get_dims(ov_model->input_blob, &dims);
status |= ie_blob_get_precision(ov_model->input_blob, &precision);
if (status != OK)
goto err;
av_assert0(input->channels == dims.dims[1]);
av_assert0(input->height == dims.dims[2]);
av_assert0(input->width == dims.dims[3]);
av_assert0(input->dt == precision_to_datatype(precision));
status = ie_blob_get_buffer(ov_model->input_blob, &blob_buffer);
if (status != OK)
goto err;
input->data = blob_buffer.buffer;
// outputs
ov_model->nb_output = 0;
av_freep(&ov_model->output_blobs);
ov_model->output_blobs = av_mallocz_array(nb_output, sizeof(*ov_model->output_blobs));
if (!ov_model->output_blobs)
goto err;
for (int i = 0; i < nb_output; i++) {
const char *output_name = output_names[i];
status = ie_infer_request_get_blob(ov_model->infer_request, output_name, &(ov_model->output_blobs[i]));
if (status != OK)
goto err;
ov_model->nb_output++;
}
return DNN_SUCCESS;
err:
if (ov_model->output_blobs) {
for (uint32_t i = 0; i < ov_model->nb_output; i++) {
ie_blob_free(&(ov_model->output_blobs[i]));
}
av_freep(&ov_model->output_blobs);
}
if (ov_model->input_blob)
ie_blob_free(&ov_model->input_blob);
if (ov_model->infer_request)
ie_infer_request_free(&ov_model->infer_request);
return DNN_ERROR;
}
DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options)
{
DNNModel *model = NULL;
OVModel *ov_model = NULL;
IEStatusCode status;
ie_config_t config = {NULL, NULL, NULL};
model = av_malloc(sizeof(DNNModel));
if (!model){
return NULL;
}
ov_model = av_mallocz(sizeof(OVModel));
if (!ov_model)
goto err;
status = ie_core_create("", &ov_model->core);
if (status != OK)
goto err;
status = ie_core_read_network(ov_model->core, model_filename, NULL, &ov_model->network);
if (status != OK)
goto err;
status = ie_core_load_network(ov_model->core, ov_model->network, "CPU", &config, &ov_model->exe_network);
if (status != OK)
goto err;
model->model = (void *)ov_model;
model->set_input_output = &set_input_output_ov;
model->get_input = &get_input_ov;
model->options = options;
return model;
err:
if (model)
av_freep(&model);
if (ov_model) {
if (ov_model->exe_network)
ie_exec_network_free(&ov_model->exe_network);
if (ov_model->network)
ie_network_free(&ov_model->network);
if (ov_model->core)
ie_core_free(&ov_model->core);
av_freep(&ov_model);
}
return NULL;
}
DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNData *outputs, uint32_t nb_output)
{
dimensions_t dims;
precision_e precision;
ie_blob_buffer_t blob_buffer;
OVModel *ov_model = (OVModel *)model->model;
uint32_t nb = FFMIN(nb_output, ov_model->nb_output);
IEStatusCode status = ie_infer_request_infer(ov_model->infer_request);
if (status != OK)
return DNN_ERROR;
for (uint32_t i = 0; i < nb; ++i) {
status = ie_blob_get_buffer(ov_model->output_blobs[i], &blob_buffer);
if (status != OK)
return DNN_ERROR;
status |= ie_blob_get_dims(ov_model->output_blobs[i], &dims);
status |= ie_blob_get_precision(ov_model->output_blobs[i], &precision);
if (status != OK)
return DNN_ERROR;
outputs[i].channels = dims.dims[1];
outputs[i].height = dims.dims[2];
outputs[i].width = dims.dims[3];
outputs[i].dt = precision_to_datatype(precision);
outputs[i].data = blob_buffer.buffer;
}
return DNN_SUCCESS;
}
void ff_dnn_free_model_ov(DNNModel **model)
{
if (*model){
OVModel *ov_model = (OVModel *)(*model)->model;
if (ov_model->output_blobs) {
for (uint32_t i = 0; i < ov_model->nb_output; i++) {
ie_blob_free(&(ov_model->output_blobs[i]));
}
av_freep(&ov_model->output_blobs);
}
if (ov_model->input_blob)
ie_blob_free(&ov_model->input_blob);
if (ov_model->infer_request)
ie_infer_request_free(&ov_model->infer_request);
if (ov_model->exe_network)
ie_exec_network_free(&ov_model->exe_network);
if (ov_model->network)
ie_network_free(&ov_model->network);
if (ov_model->core)
ie_core_free(&ov_model->core);
av_freep(&ov_model);
av_freep(model);
}
}
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