IVGCVSW-6176 Add support for shape_signature in the tflite parser

* tflite shape_signatures will now be the preferred way to detect dynamic tensors
* add test utility to the parser that converts a model's tensors to dynamic
* by default tests will run a dynamic version of the model in addition to the original
* fix dynamic shape inference of unpack operator
* reactivate and fix quantize test
* add shape inference to expand dims

Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: If11ba19d813cd3590707583dff1e4eb0e6412a1d
diff --git a/src/armnnTfLiteParser/test/InputOutputTensorNames.cpp b/src/armnnTfLiteParser/test/InputOutputTensorNames.cpp
index 97d9381..f090d39 100644
--- a/src/armnnTfLiteParser/test/InputOutputTensorNames.cpp
+++ b/src/armnnTfLiteParser/test/InputOutputTensorNames.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -22,7 +22,7 @@
 
 TEST_CASE_FIXTURE(EmptyNetworkFixture, "EmptyNetworkHasNoInputsAndOutputs")
 {
-    Setup();
+    Setup(false);
     CHECK(m_Parser->GetSubgraphCount() == 1);
     CHECK(m_Parser->GetSubgraphInputTensorNames(0).size() == 0);
     CHECK(m_Parser->GetSubgraphOutputTensorNames(0).size() == 0);