From 514a21b93cbab93f6eebf2c48a5d85d780fbf1bb Mon Sep 17 00:00:00 2001
From: Ilya Churaev <ilya.churaev@intel.com>
Date: Wed, 3 Mar 2021 12:22:19 +0300
Subject: [PATCH] Removed propagate_rt_info function

---
 ngraph/core/src/validation_util.cpp | 30 -----------------------------
 1 file changed, 30 deletions(-)

diff --git a/ngraph/core/src/validation_util.cpp b/ngraph/core/src/validation_util.cpp
index 7b37ba7f042..ba78f9ee3aa 100644
--- a/ngraph/core/src/validation_util.cpp
+++ b/ngraph/core/src/validation_util.cpp
@@ -1225,35 +1225,6 @@ bool could_propagate(const Output<Node>& output, std::vector<Node*>& order)
     return status;
 }
 
-void propagate_rt_info(Node* node, const Output<Node>& final_port)
-{
-    auto node_outputs = node->outputs();
-    bool same_outputs =
-        std::all_of(node_outputs.begin(), node_outputs.end(), [](const Output<Node>& output) {
-            return output.get_tensor().has_and_set_bound();
-        });
-    if (same_outputs && op::is_constant(node)) // constant should not propagate it's rt_info
-    {
-        std::unordered_set<Node*> stop_nodes;
-        for (const auto& in : final_port.get_target_inputs())
-            stop_nodes.insert(in.get_node());
-
-        auto curr_node = node->shared_from_this();
-        for (const auto& output : node_outputs)
-        {
-            if (output == final_port)
-                continue;
-            for (auto& in : output.get_target_inputs())
-            {
-                if (stop_nodes.count(in.get_node()))
-                    continue;
-                auto consumer = in.get_node()->shared_from_this();
-                copy_runtime_info({curr_node, consumer}, consumer);
-            }
-        }
-    }
-}
-
 HostTensorPtr evaluate_bound(const Output<Node>& output, bool is_upper)
 {
     // bound is already set in the tensor
@@ -1291,7 +1262,6 @@ HostTensorPtr evaluate_bound(const Output<Node>& output, bool is_upper)
                 for (const auto& input : input_values)
                     if (input.get_target_inputs().size() == 1)
                         input.get_tensor().invalidate_values();
-                propagate_rt_info(node, output);
             }
             else
             {