IVGCVSW-6873 Import inputs but don't export outputs fails.

Only one bool is used to indicate whether inputs should be imported.
However, its possible for the user to want to import inputs but not
export outputs. In addition it's possible for a user to enabled import
during optimize but then pass a memory source that does not require
import.

* Add m_ExportEnabled to INetwork.hpp.
* Modify Network::dNetwork to consider both m_ImportEnabled
  and m_ExportEnabled.
* Add ValidateSourcesMatchOptimizedNetwork to LoadedNetwork to validate
  import options between optimize and network load.
* Update the TfLite delegate consider exportEnabled flag in the
  optimizer.

!armnn-internal-tests:425350
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I776eab81595898e43f91ab40306962eae61329f4

1 files changed, 2 insertions, 2 deletions

diff --git a/python/pyarmnn/src/pyarmnn/_version.py b/python/pyarmnn/src/pyarmnn/_version.py
index 7c0940e7f3..d1b1ca290c 100644
--- a/python/pyarmnn/src/pyarmnn/_version.py
+++ b/python/pyarmnn/src/pyarmnn/_version.py
@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: MIT
 import os
 
-version_info = (29, 0, 0)
+version_info = (30, 0, 0)
 
 __dev_version_env = os.getenv("PYARMNN_DEV_VER", "")
 
@@ -24,7 +24,7 @@ def check_armnn_version(installed_armnn_version: str, expected_armnn_version: st
     """Compares expected Arm NN version and Arm NN version used to build the package.
 
     Args:
-        installed_armnn_version (str): Arm NN version used to generate the package (e.g. 29.0.0)
+        installed_armnn_version (str): Arm NN version used to generate the package (e.g. 30.0.0)
         expected_armnn_version (str): Expected Arm NN version
 
     Returns: