#include "dnn_backend_native.h"
-static DNNReturnType set_input_output_native(void *model, DNNData *input, DNNData *output)
+static DNNReturnType set_input_output_native(void *model, DNNData *input, const char *input_name, DNNData *output, const char *output_name)
{
ConvolutionalNetwork *network = (ConvolutionalNetwork *)model;
InputParams *input_params;
return graph_buf;
}
-static DNNReturnType set_input_output_tf(void *model, DNNData *input, DNNData *output)
+static DNNReturnType set_input_output_tf(void *model, DNNData *input, const char *input_name, DNNData *output, const char *output_name)
{
TFModel *tf_model = (TFModel *)model;
int64_t input_dims[] = {1, input->height, input->width, input->channels};
const TF_Operation *init_op = TF_GraphOperationByName(tf_model->graph, "init");
TF_Tensor *output_tensor;
- // Input operation should be named 'x'
- tf_model->input.oper = TF_GraphOperationByName(tf_model->graph, "x");
+ // Input operation
+ tf_model->input.oper = TF_GraphOperationByName(tf_model->graph, input_name);
if (!tf_model->input.oper){
return DNN_ERROR;
}
}
input->data = (float *)TF_TensorData(tf_model->input_tensor);
- // Output operation should be named 'y'
- tf_model->output.oper = TF_GraphOperationByName(tf_model->graph, "y");
+ // Output operation
+ tf_model->output.oper = TF_GraphOperationByName(tf_model->graph, output_name);
if (!tf_model->output.oper){
return DNN_ERROR;
}
void *model;
// Sets model input and output, while allocating additional memory for intermediate calculations.
// Should be called at least once before model execution.
- DNNReturnType (*set_input_output)(void *model, DNNData *input, DNNData *output);
+ DNNReturnType (*set_input_output)(void *model, DNNData *input, const char *input_name, DNNData *output, const char *output_name);
} DNNModel;
// Stores pointers to functions for loading, executing, freeing DNN models for one of the backends.
sr_context->input.height = inlink->h * sr_context->scale_factor;
sr_context->input.channels = 1;
- result = (sr_context->model->set_input_output)(sr_context->model->model, &sr_context->input, &sr_context->output);
+ result = (sr_context->model->set_input_output)(sr_context->model->model, &sr_context->input, "x", &sr_context->output, "y");
if (result != DNN_SUCCESS){
av_log(context, AV_LOG_ERROR, "could not set input and output for the model\n");
return AVERROR(EIO);
if (sr_context->input.height != sr_context->output.height || sr_context->input.width != sr_context->output.width){
sr_context->input.width = inlink->w;
sr_context->input.height = inlink->h;
- result = (sr_context->model->set_input_output)(sr_context->model->model, &sr_context->input, &sr_context->output);
+ result = (sr_context->model->set_input_output)(sr_context->model->model, &sr_context->input, "x", &sr_context->output, "y");
if (result != DNN_SUCCESS){
av_log(context, AV_LOG_ERROR, "could not set input and output for the model\n");
return AVERROR(EIO);