SCM tf_graph_operation_by_name_(SCM scm_graph, SCM scm_name)
{
struct tf_graph_t *graph = get_tf_graph(scm_graph);
char *name = scm_to_locale_string(scm_name);
TF_Operation *operation = TF_GraphOperationByName(graph->graph, name);
free(name);
if (!operation)
scm_misc_error("tf-graph-operation-by-name_", "Operation '~a' not found", scm_list_1(scm_name));
SCM retval = SCM_EOL;
int noutputs = TF_OperationNumOutputs(operation);
for (int i=noutputs-1; i>=0; i--) {
SCM element;
struct tf_output_t *output = (struct tf_output_t *)scm_gc_calloc(sizeof(struct tf_output_t), "tf-graph-operation-by-name_");
SCM_NEWSMOB(element, tf_output_tag, output);
output->output.oper = operation;
output->output.index = i;
retval = scm_cons(element, retval);
};
if (noutputs == 1)
retval = scm_car(retval);
return retval;
}
static DNNReturnType set_input_output_tf(void *model, DNNData *input, DNNData *output)
{
TFModel *tf_model = (TFModel *)model;
int64_t input_dims[] = {1, input->height, input->width, input->channels};
TF_SessionOptions *sess_opts;
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");
if (!tf_model->input.oper){
return DNN_ERROR;
}
tf_model->input.index = 0;
if (tf_model->input_tensor){
TF_DeleteTensor(tf_model->input_tensor);
}
tf_model->input_tensor = TF_AllocateTensor(TF_FLOAT, input_dims, 4,
input_dims[1] * input_dims[2] * input_dims[3] * sizeof(float));
if (!tf_model->input_tensor){
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");
if (!tf_model->output.oper){
return DNN_ERROR;
}
tf_model->output.index = 0;
if (tf_model->session){
TF_CloseSession(tf_model->session, tf_model->status);
TF_DeleteSession(tf_model->session, tf_model->status);
}
sess_opts = TF_NewSessionOptions();
tf_model->session = TF_NewSession(tf_model->graph, sess_opts, tf_model->status);
TF_DeleteSessionOptions(sess_opts);
if (TF_GetCode(tf_model->status) != TF_OK)
{
return DNN_ERROR;
}
// Run initialization operation with name "init" if it is present in graph
if (init_op){
TF_SessionRun(tf_model->session, NULL,
NULL, NULL, 0,
NULL, NULL, 0,
&init_op, 1, NULL, tf_model->status);
if (TF_GetCode(tf_model->status) != TF_OK)
{
return DNN_ERROR;
}
}
// Execute network to get output height, width and number of channels
TF_SessionRun(tf_model->session, NULL,
&tf_model->input, &tf_model->input_tensor, 1,
&tf_model->output, &output_tensor, 1,
NULL, 0, NULL, tf_model->status);
if (TF_GetCode(tf_model->status) != TF_OK){
return DNN_ERROR;
}
else{
output->height = TF_Dim(output_tensor, 1);
output->width = TF_Dim(output_tensor, 2);
output->channels = TF_Dim(output_tensor, 3);
output->data = av_malloc(output->height * output->width * output->channels * sizeof(float));
if (!output->data){
return DNN_ERROR;
}
tf_model->output_data = output;
TF_DeleteTensor(output_tensor);
}
return DNN_SUCCESS;
}
