message: cleaned up commented code
diff: @@ -506,55 +506,6 @@ Status CreateParamsForInputs(AbstractContext* ctx,
  return Status::OK();
  }
  -// Runs `model` maybe wrapped in a function.
  -// Status RunModel(Model model, AbstractContext* ctx,
  -// absl::Span<AbstractTensorHandle* const> inputs,
  -// absl::Span<AbstractTensorHandle*> outputs, bool use_function,
  -// const GradientRegistry& registry) {
  -// if (use_function) {
  -// const char* fn_name = "test_fn";
  -// std::unique_ptr<AbstractFunction> scoped_func;
  -// {
  -// AbstractContextPtr func_ctx(BuildFunction(fn_name));
  -// vector<AbstractTensorHandle*> func_inputs;
  -// func_inputs.reserve(inputs.size());
  -// TF_RETURN_IF_ERROR(
  -// CreateParamsForInputs(func_ctx.get(), inputs, &func_inputs));
  -// OutputList output_list;
  -// output_list.expected_num_outputs = outputs.size();
  -// output_list.outputs.resize(outputs.size());
  -// TF_RETURN_IF_ERROR(model(func_ctx.get(), absl::MakeSpan(func_inputs),
  -// absl::MakeSpan(output_list.outputs), registry));
  -
  -// for (auto func_input : func_inputs) {
  -// func_input->Unref();
  -// }
  -// AbstractFunction* func = nullptr;
  -// TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(func_ctx.get())
  -// ->Finalize(&output_list, &func));
  -// scoped_func.reset(func);
  -
  -// for (auto output : output_list.outputs) {
  -// output->Unref();
  -// }
  -
  -// TF_RETURN_IF_ERROR(ctx->RegisterFunction(func));
  -// }
  -
  -// AbstractOperationPtr fn_op(ctx->CreateOperation());
  -// TF_RETURN_IF_ERROR(fn_op->Reset(fn_name, /*raw_device_name=*/nullptr));
  -// for (auto input : inputs) {
  -// TF_RETURN_IF_ERROR(fn_op->AddInput(input));
  -// }
  -// int retvals = outputs.size();
  -// TF_RETURN_IF_ERROR(fn_op->Execute(outputs, &retvals));
  -// TF_RETURN_IF_ERROR(ctx->RemoveFunction(fn_name));
  -// return Status::OK();
  -// } else {
  -// return model(ctx, inputs, outputs, registry);
  -// }
  -// }
  -
  Status RunModel(Model model, AbstractContext* ctx,
  absl::Span<AbstractTensorHandle* const> inputs,
  absl::Span<AbstractTensorHandle*> outputs, bool use_function,
  