Function ConvertSvdfOperator

tensorflow/lite/toco/import_tensorflow.cc:1880–1907

TODO(b/139320642): Add test when fused op is supported.

// TODO(b/139320642): Add test when fused op is supported.
tensorflow::Status ConvertSvdfOperator(
    const NodeDef& node, const TensorFlowImportFlags& tf_import_flags,
    const ModelFlags& model_flags, Model* model) {
  CHECK_EQ(node.op(), "Svdf");
  const int input_size = GetInputsCount(node, tf_import_flags);
  QCHECK(input_size == 4 || input_size == 5)
      << "Svdf node expects 3 or 4 inputs other than control dependencies: "
      << node.DebugString();
  bool has_bias = (input_size == 5);
  auto* op = new SvdfOperator;
  int index = 0;
  op->inputs.push_back(node.input(index++));
  op->inputs.push_back(node.input(index++));
  op->inputs.push_back(node.input(index++));
  if (has_bias) {
    op->inputs.push_back(node.input(index++));
  }
  op->inputs.push_back(node.input(index));
  op->outputs.push_back(node.name());
  if (node.attr().at("ActivationFunction").s() == "Relu") {
    op->fused_activation_function = FusedActivationFunctionType::kRelu;
  } else {
    op->fused_activation_function = FusedActivationFunctionType::kNone;
  }
  op->rank = node.attr().at("Rank").i();
  model->operators.emplace_back(op);
  return tensorflow::Status::OK();
}

// This is just bare bones support to get the shapes to propagate.
tensorflow::Status ConvertTransposeConvOperator(