mirror of https://git.ffmpeg.org/ffmpeg.git
310 lines
9.0 KiB
C
310 lines
9.0 KiB
C
/*
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* Copyright (c) 2018 Sergey Lavrushkin
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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/**
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* @file
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* DNN tensorflow backend implementation.
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*/
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#include "dnn_backend_tf.h"
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#include "dnn_srcnn.h"
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#include "libavformat/avio.h"
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#include <tensorflow/c/c_api.h>
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typedef struct TFModel{
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TF_Graph* graph;
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TF_Session* session;
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TF_Status* status;
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TF_Output input, output;
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TF_Tensor* input_tensor;
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TF_Tensor* output_tensor;
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const DNNData* input_data;
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const DNNData* output_data;
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} TFModel;
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static void free_buffer(void* data, size_t length)
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{
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av_freep(&data);
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}
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static TF_Buffer* read_graph(const char* model_filename)
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{
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TF_Buffer* graph_buf;
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unsigned char* graph_data = NULL;
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AVIOContext* model_file_context;
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long size, bytes_read;
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if (avio_open(&model_file_context, model_filename, AVIO_FLAG_READ) < 0){
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return NULL;
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}
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size = avio_size(model_file_context);
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graph_data = av_malloc(size);
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if (!graph_data){
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avio_closep(&model_file_context);
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return NULL;
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}
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bytes_read = avio_read(model_file_context, graph_data, size);
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avio_closep(&model_file_context);
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if (bytes_read != size){
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av_freep(&graph_data);
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return NULL;
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}
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graph_buf = TF_NewBuffer();
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graph_buf->data = (void*)graph_data;
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graph_buf->length = size;
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graph_buf->data_deallocator = free_buffer;
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return graph_buf;
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}
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static DNNReturnType set_input_output_tf(void* model, const DNNData* input, const DNNData* output)
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{
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TFModel* tf_model = (TFModel*)model;
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int64_t input_dims[] = {1, input->height, input->width, input->channels};
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int64_t output_dims[] = {1, output->height, output->width, output->channels};
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TF_SessionOptions* sess_opts;
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const TF_Operation* init_op = TF_GraphOperationByName(tf_model->graph, "init");
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// Input operation should be named 'x'
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tf_model->input.oper = TF_GraphOperationByName(tf_model->graph, "x");
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if (!tf_model->input.oper){
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return DNN_ERROR;
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}
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tf_model->input.index = 0;
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if (tf_model->input_tensor){
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TF_DeleteTensor(tf_model->input_tensor);
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}
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tf_model->input_tensor = TF_AllocateTensor(TF_FLOAT, input_dims, 4,
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input_dims[1] * input_dims[2] * input_dims[3] * sizeof(float));
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if (!tf_model->input_tensor){
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return DNN_ERROR;
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}
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// Output operation should be named 'y'
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tf_model->output.oper = TF_GraphOperationByName(tf_model->graph, "y");
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if (!tf_model->output.oper){
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return DNN_ERROR;
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}
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tf_model->output.index = 0;
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if (tf_model->output_tensor){
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TF_DeleteTensor(tf_model->output_tensor);
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}
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tf_model->output_tensor = TF_AllocateTensor(TF_FLOAT, output_dims, 4,
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output_dims[1] * output_dims[2] * output_dims[3] * sizeof(float));
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if (!tf_model->output_tensor){
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return DNN_ERROR;
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}
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tf_model->input_data = input;
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tf_model->output_data = output;
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if (tf_model->session){
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TF_CloseSession(tf_model->session, tf_model->status);
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TF_DeleteSession(tf_model->session, tf_model->status);
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}
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sess_opts = TF_NewSessionOptions();
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tf_model->session = TF_NewSession(tf_model->graph, sess_opts, tf_model->status);
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TF_DeleteSessionOptions(sess_opts);
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if (TF_GetCode(tf_model->status) != TF_OK)
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{
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return DNN_ERROR;
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}
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// Run initialization operation with name "init" if it is present in graph
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if (init_op){
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TF_SessionRun(tf_model->session, NULL,
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NULL, NULL, 0,
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NULL, NULL, 0,
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&init_op, 1, NULL, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK)
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{
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return DNN_ERROR;
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}
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}
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return DNN_SUCCESS;
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}
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DNNModel* ff_dnn_load_model_tf(const char* model_filename)
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{
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DNNModel* model = NULL;
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TFModel* tf_model = NULL;
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TF_Buffer* graph_def;
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TF_ImportGraphDefOptions* graph_opts;
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model = av_malloc(sizeof(DNNModel));
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if (!model){
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return NULL;
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}
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tf_model = av_malloc(sizeof(TFModel));
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if (!tf_model){
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av_freep(&model);
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return NULL;
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}
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tf_model->session = NULL;
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tf_model->input_tensor = NULL;
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tf_model->output_tensor = NULL;
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graph_def = read_graph(model_filename);
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if (!graph_def){
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av_freep(&tf_model);
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av_freep(&model);
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return NULL;
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}
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tf_model->graph = TF_NewGraph();
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tf_model->status = TF_NewStatus();
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graph_opts = TF_NewImportGraphDefOptions();
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TF_GraphImportGraphDef(tf_model->graph, graph_def, graph_opts, tf_model->status);
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TF_DeleteImportGraphDefOptions(graph_opts);
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TF_DeleteBuffer(graph_def);
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if (TF_GetCode(tf_model->status) != TF_OK){
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TF_DeleteGraph(tf_model->graph);
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TF_DeleteStatus(tf_model->status);
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av_freep(&tf_model);
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av_freep(&model);
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return NULL;
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}
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model->model = (void*)tf_model;
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model->set_input_output = &set_input_output_tf;
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return model;
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}
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DNNModel* ff_dnn_load_default_model_tf(DNNDefaultModel model_type)
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{
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DNNModel* model = NULL;
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TFModel* tf_model = NULL;
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TF_Buffer* graph_def;
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unsigned char* graph_data = NULL;
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TF_ImportGraphDefOptions* graph_opts;
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graph_def = TF_NewBuffer();
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switch (model_type){
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case DNN_SRCNN:
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graph_data = av_malloc(srcnn_tf_size);
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if (!graph_data){
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TF_DeleteBuffer(graph_def);
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return NULL;
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}
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memcpy(graph_data, srcnn_tf_model, srcnn_tf_size);
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graph_def->data = (void*)graph_data;
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graph_def->length = srcnn_tf_size;
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graph_def->data_deallocator = free_buffer;
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break;
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default:
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TF_DeleteBuffer(graph_def);
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return NULL;
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}
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model = av_malloc(sizeof(DNNModel));
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if (!model){
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TF_DeleteBuffer(graph_def);
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return NULL;
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}
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tf_model = av_malloc(sizeof(TFModel));
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if (!tf_model){
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TF_DeleteBuffer(graph_def);
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av_freep(&model);
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return NULL;
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}
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tf_model->session = NULL;
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tf_model->input_tensor = NULL;
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tf_model->output_tensor = NULL;
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tf_model->graph = TF_NewGraph();
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tf_model->status = TF_NewStatus();
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graph_opts = TF_NewImportGraphDefOptions();
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TF_GraphImportGraphDef(tf_model->graph, graph_def, graph_opts, tf_model->status);
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TF_DeleteImportGraphDefOptions(graph_opts);
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TF_DeleteBuffer(graph_def);
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if (TF_GetCode(tf_model->status) != TF_OK){
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TF_DeleteGraph(tf_model->graph);
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TF_DeleteStatus(tf_model->status);
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av_freep(&tf_model);
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av_freep(&model);
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return NULL;
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}
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model->model = (void*)tf_model;
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model->set_input_output = &set_input_output_tf;
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return model;
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}
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DNNReturnType ff_dnn_execute_model_tf(const DNNModel* model)
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{
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TFModel* tf_model = (TFModel*)model->model;
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memcpy(TF_TensorData(tf_model->input_tensor), tf_model->input_data->data,
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tf_model->input_data->height * tf_model->input_data->width *
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tf_model->input_data->channels * sizeof(float));
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TF_SessionRun(tf_model->session, NULL,
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&tf_model->input, &tf_model->input_tensor, 1,
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&tf_model->output, &tf_model->output_tensor, 1,
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NULL, 0, NULL, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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return DNN_ERROR;
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}
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else{
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memcpy(tf_model->output_data->data, TF_TensorData(tf_model->output_tensor),
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tf_model->output_data->height * tf_model->output_data->width *
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tf_model->output_data->channels * sizeof(float));
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return DNN_SUCCESS;
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}
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}
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void ff_dnn_free_model_tf(DNNModel** model)
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{
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TFModel* tf_model;
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if (*model){
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tf_model = (TFModel*)(*model)->model;
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if (tf_model->graph){
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TF_DeleteGraph(tf_model->graph);
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}
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if (tf_model->session){
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TF_CloseSession(tf_model->session, tf_model->status);
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TF_DeleteSession(tf_model->session, tf_model->status);
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}
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if (tf_model->status){
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TF_DeleteStatus(tf_model->status);
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}
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if (tf_model->input_tensor){
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TF_DeleteTensor(tf_model->input_tensor);
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}
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if (tf_model->output_tensor){
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TF_DeleteTensor(tf_model->output_tensor);
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}
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av_freep(&tf_model);
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av_freep(model);
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}
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}
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