IVGCVSW-5244 Load-scope dynamic tensor TfLite tests

 * Infer tensor shapes at the beginning of Optimize function
 * Unit tests

Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I511f1228a12ebcad570e42a0c46d461ab9ccdc2c

1 files changed, 0 insertions, 20 deletions

diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index 7b496173cc..8bc475347c 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -777,26 +777,6 @@ INetworkPtr TfLiteParser::CreateNetworkFromModel()
         }
     }
 
-    // if InferAndValidate set make sure all the TensorInfo set and all the dynamic output tensors are inferred
-    if (m_Options && m_Options.value().m_InferAndValidate)
-    {
-        for (subgraphIndex = 0;
-             subgraphIndex < m_SubgraphConnections.size();
-             ++subgraphIndex)
-        {
-            if (m_SubgraphConnections[subgraphIndex].size() > 0)
-            {
-                // get the last output slot on the layer
-                auto outputSlot =
-                    m_SubgraphConnections[subgraphIndex][m_SubgraphConnections[subgraphIndex].size() - 1].outputSlot;
-                if (outputSlot != nullptr)
-                {
-                    outputSlot->IsTensorInfoSet();
-                }
-            }
-        }
-    }
-
     return std::move(m_Network);
 }