private static ITensorOrOperation[] _GatherReturnElements(string[] requested_return_elements,
Graph graph,
TF_ImportGraphDefResults results)
{
var return_outputs = results.return_tensors;
var return_opers = results.return_opers;
var combined_return_elements = new List <ITensorOrOperation>();
int outputs_idx = 0;
int opers_idx = 0;
foreach (var name in requested_return_elements)
{
if (name.Contains(":"))
{
combined_return_elements.append(graph.get_tensor_by_tf_output(return_outputs[outputs_idx]));
outputs_idx += 1;
}
else
{
throw new NotImplementedException("_GatherReturnElements");
// combined_return_elements.append(graph._get_operation_by_tf_operation(return_opers[opers_idx]));
}
}
return(combined_return_elements.ToArray());
}
private static ITensorOrOperation[] _GatherReturnElements(string[] requested_return_elements,
Graph graph,
TF_ImportGraphDefResults results)
{
var return_outputs = results.return_tensors;
var return_opers = results.return_opers;
var combined_return_elements = new List<ITensorOrOperation>();
int outputs_idx = 0;
#pragma warning disable CS0219 // Variable is assigned but its value is never used
int opers_idx = 0;
#pragma warning restore CS0219 // Variable is assigned but its value is never used
foreach(var name in requested_return_elements)
{
if (name.Contains(":"))
{
combined_return_elements.append(graph.get_tensor_by_tf_output(return_outputs[outputs_idx]));
outputs_idx += 1;
}
else
{
throw new NotImplementedException("_GatherReturnElements");
// combined_return_elements.append(graph._get_operation_by_tf_operation(return_opers[opers_idx]));
}
}
return combined_return_elements.ToArray();
}
public static ITensorOrOperation[] import_graph_def(GraphDef graph_def,
Dictionary <string, Tensor> input_map = null,
string[] return_elements = null,
string name = null,
OpList producer_op_list = null)
{
var op_dict = op_def_registry.get_registered_ops();
graph_def = _ProcessGraphDefParam(graph_def, op_dict);
input_map = _ProcessInputMapParam(input_map);
return_elements = _ProcessReturnElementsParam(return_elements);
if (producer_op_list != null)
{
_RemoveDefaultAttrs(op_dict, producer_op_list, graph_def);
}
string prefix = "";
var graph = ops.get_default_graph();
tf_with(ops.name_scope(name, "import", input_map.Values), scope =>
{
prefix = scope;
/*if (!string.IsNullOrEmpty(prefix))
* prefix = prefix.Substring(0, prefix.Length - 1);
* else
* prefix = "";*/
// Generate any input map tensors inside name scope
input_map = _ConvertInputMapValues(name, input_map);
});
TF_ImportGraphDefResults results = null;
var bytes = graph_def.ToByteString().ToArray();
using (var buffer = c_api_util.tf_buffer(bytes))
using (var scoped_options = c_api_util.ScopedTFImportGraphDefOptions())
using (var status = new Status())
{
_PopulateTFImportGraphDefOptions(scoped_options, prefix, input_map, return_elements);
// need to create a class ImportGraphDefWithResults with IDisposal
results = new TF_ImportGraphDefResults(c_api.TF_GraphImportGraphDefWithResults(graph, buffer.Handle, scoped_options.Handle, status.Handle));
status.Check(true);
}
_ProcessNewOps(graph);
if (return_elements == null)
{
return(null);
}
else
{
return(_GatherReturnElements(return_elements, graph, results));
}
}
