Status ShapeRefiner::AddNodeInternal(
    const Node* node, shape_inference::InferenceContext* outer_context) {
  // Create the inference context for this node with the existing input shapes.
  std::unique_ptr<InferenceContext> ic(new InferenceContext(
      graph_def_version_, node->def(), node->op_def(),
      std::vector<ShapeHandle>(node->num_inputs()), {}, {}, {}));
  TF_RETURN_IF_ERROR(ic->construction_status());

  // For each 'input' of this node, fetch the corresponding shape
  // from 'input's InferenceContext, and store into this node's
  // InferenceContext.
  for (const Edge* e : node->in_edges()) {
    if (e->IsControlEdge()) continue;

    if (e->dst_input() < 0) {
      return tensorflow::errors::Internal(
          "Index ", e->dst_input(), " is negative but not a control edge.");
    }

    const Node* input = e->src();
    auto it = node_to_context_.find(input);
    if (it == node_to_context_.end()) {
      // v1 control flow adds loops to the graph; we have to break them
      // somewhere, so we'll ignore this input and leave its shape undefined.
      ic->SetInput(e->dst_input(), ic->UnknownShape());
      continue;
    }

    InferenceContext* input_ic = it->second->get_context();
    ic->SetInput(e->dst_input(), input_ic->output(e->src_output()));

    const auto* in_v =
        input_ic->output_handle_shapes_and_types(e->src_output());
    if (in_v != nullptr) {
      DataType input_type = e->src()->output_type(e->src_output());
      DCHECK(input_type == DT_RESOURCE || input_type == DT_VARIANT);
      ic->set_input_handle_shapes_and_types(e->dst_input(),
                                            std::vector<ShapeAndType>(*in_v));
    }
  }

  // Get the shape function for this node
  const OpRegistrationData* op_reg_data;
  TF_RETURN_IF_ERROR(ops_registry_->LookUp(node->type_string(), &op_reg_data));
  if (op_reg_data->shape_inference_fn == nullptr &&
      require_shape_inference_fns_) {
    return errors::InvalidArgument(
        "No shape inference function exists for op '", node->type_string(),
        "', did you forget to define it?");
  }

  std::unique_ptr<ExtendedInferenceContext> ec(
      new ExtendedInferenceContext(std::move(ic), node));

  // Run the shape inference function, and return if there was an error.
  TF_RETURN_IF_ERROR(RunShapeFn(node, op_reg_data, ec.get(), outer_context));

  // Store the resulting context object in the map.
  node_to_context_[node].swap(ec);

  return Status::OK();
}
Status ShapeRefiner::AddNodeInternal(
    const Node* node, shape_inference::InferenceContext* outer_context) {
   
  std::unique_ptr<InferenceContext> ic(new InferenceContext(
      graph_def_version_, node->def(), node->op_def(),
      std::vector<ShapeHandle>(node->num_inputs()), {}, {}, {}));
  TF_RETURN_IF_ERROR(ic->construction_status());

   
   
   
  for (const Edge* e : node->in_edges()) {
    if (e->IsControlEdge()) continue;

    if (e->dst_input() < 0) {
      return tensorflow::errors::Internal(
          "Index ", e->dst_input(), " is negative but not a control edge.");
    }

    const Node* input = e->src();
    auto it = node_to_context_.find(input);
    if (it == node_to_context_.end()) {
       
       
      ic->SetInput(e->dst_input(), ic->UnknownShape());
      continue;
    }

    InferenceContext* input_ic = it->second->get_context();
    ic->SetInput(e->dst_input(), input_ic->output(e->src_output()));

    const auto* in_v =
        input_ic->output_handle_shapes_and_types(e->src_output());
    if (in_v != nullptr) {
      DataType input_type = e->src()->output_type(e->src_output());
      DCHECK(input_type == DT_RESOURCE || input_type == DT_VARIANT);
      ic->set_input_handle_shapes_and_types(e->dst_input(),
                                            std::vector<ShapeAndType>(*in_v));
    }
  }

   
  const OpRegistrationData* op_reg_data;
  TF_RETURN_IF_ERROR(ops_registry_->LookUp(node->type_string(), &op_reg_data));
  if (op_reg_data->shape_inference_fn == nullptr &&
      require_shape_inference_fns_) {
    return errors::InvalidArgument(
        "No shape inference function exists for op '", node->type_string(),
        "', did you forget to define it?");
  }

  std::unique_ptr<ExtendedInferenceContext> ec(
      new ExtendedInferenceContext(std::move(ic), node));

   
  TF_RETURN_IF_ERROR(RunShapeFn(node, op_reg_data, ec.get(), outer_context));

   
  node_to_context_[node].swap(ec);

  return Status::OK();
}