public override void OnExit(MethodExecutionArgs args)
{
if (args.ReturnValue is Tensors outputs)
{
if (args.Arguments[0] is Tensors inputs)
{
function.ToGraph(inputs, outputs);
}
else
{
function.ToGraph(args.Arguments.Select(x => x as Tensor).ToArray(), outputs);
}
}
else
{
function.ToGraph(args.Arguments.Select(x => x as Tensor).ToArray(), args.ReturnValue as Tensor);
}
// cache function.
function.ReturnType = args.ReturnValue.GetType();
functions[func_name] = function;
// run function
args.ReturnValue = ConvertReturnValue(function.Invoke(originalInputs));
}
public override void OnEntry(MethodExecutionArgs args)
{
func_name = $"autograph_{args.Instance.GetHashCode()}.{args.Method.Name}";
if (functions.ContainsKey(func_name))
{
function = functions[func_name];
if (args.Arguments[0] is Tensors tensor_inputs)
{
args.ReturnValue = ConvertReturnValue(function.Invoke(tensor_inputs));
}
else
{
args.ReturnValue = ConvertReturnValue(function.Invoke(args.Arguments.Select(x => x as Tensor).ToArray()));
}
args.FlowBehavior = FlowBehavior.Return;
return;
}
// make function as an Operation by autograph
// need to restore mode when exits
function = new ConcreteFunction(func_name);
// convert to Tensors
if (args.Arguments[0] is Tensors inputs)
{
originalInputs = inputs;
var new_inputs = inputs.Select(x => tf.placeholder(x.dtype, shape: x.TensorShape, name: "inputs")).ToArray();
args.Arguments[0] = new Tensors(new_inputs);
}
else
{
originalInputs = new Tensors(args.Arguments.Length);
// convert args to placeholder
for (var i = 0; i < args.Arguments.Length; i++)
{
if (args.Arguments[i] is EagerTensor tensor)
{
originalInputs[i] = tensor;
args.Arguments[i] = tf.placeholder(tensor.dtype, shape: tensor.TensorShape, name: "inputs");
}
}
}
}
