diff --git a/python/pyarmnn/README.md b/python/pyarmnn/README.md
index 7dc8d86..6d8b42d 100644
--- a/python/pyarmnn/README.md
+++ b/python/pyarmnn/README.md
@@ -91,14 +91,14 @@
 ```bash
 $ python setup.py sdist
 ```
-As the result you will get `./dist/pyarmnn-29.0.0.tar.gz` file. As you can see it is platform independent.
+As the result you will get `./dist/pyarmnn-30.0.0.tar.gz` file. As you can see it is platform independent.
 
 ##### 5. Build the binary package
 
 ```bash
 $ python setup.py bdist_wheel
 ```
-As the result you will get something like `./dist/pyarmnn-29.0.0-cp36-cp36m-linux_x86_64.whl` file. As you can see it
+As the result you will get something like `./dist/pyarmnn-30.0.0-cp36-cp36m-linux_x86_64.whl` file. As you can see it
  is platform dependent.
 
 # PyArmNN installation
@@ -107,8 +107,8 @@
 
 Binary package is platform dependent, the name of the package will indicate the platform it was built for, e.g.:
 
-* Linux x86 64bit machine: pyarmnn-29.0.0-cp36-cp36m-*linux_x86_64*.whl
-* Linux Aarch 64 bit machine: pyarmnn-29.0.0-cp36-cp36m-*linux_aarch64*.whl
+* Linux x86 64bit machine: pyarmnn-30.0.0-cp36-cp36m-*linux_x86_64*.whl
+* Linux Aarch 64 bit machine: pyarmnn-30.0.0-cp36-cp36m-*linux_aarch64*.whl
 
 The source package is platform independent but installation involves compilation of Arm NN python extension. You will need to have g++ compatible with C++ 14 standard and a python development library installed on the build machine.
 
@@ -126,7 +126,7 @@
 ```
 Install PyArmNN from binary by pointing to the wheel file:
 ```bash
-$ pip install /path/to/pyarmnn-29.0.0-cp36-cp36m-linux_aarch64.whl
+$ pip install /path/to/pyarmnn-30.0.0-cp36-cp36m-linux_aarch64.whl
 ```
 
 ## Installing from source package
@@ -143,7 +143,7 @@
 
 Install PyArmNN as follows:
 ```bash
-$ pip install /path/to/pyarmnn-29.0.0.tar.gz
+$ pip install /path/to/pyarmnn-30.0.0.tar.gz
 ```
 
 If PyArmNN installation script fails to find Arm NN libraries it will raise an error like this
@@ -157,7 +157,7 @@
 You can also verify it by running the following and getting output similar to below:
 ```bash
 $ python -c "import pyarmnn as ann;print(ann.GetVersion())"
-'29.0.0'
+'30.0.0'
 ```
 
 # PyArmNN API overview
diff --git a/python/pyarmnn/examples/image_classification/README.md b/python/pyarmnn/examples/image_classification/README.md
index 7275a25..a360f01 100644
--- a/python/pyarmnn/examples/image_classification/README.md
+++ b/python/pyarmnn/examples/image_classification/README.md
@@ -20,7 +20,7 @@
 You can also verify it by running the following and getting output similar to below:
 ```bash
 $ python -c "import pyarmnn as ann;print(ann.GetVersion())"
-'29.0.0'
+'30.0.0'
 ```
 
 ##### Dependencies
diff --git a/python/pyarmnn/examples/object_detection/README.md b/python/pyarmnn/examples/object_detection/README.md
index 7a946ad..215cf77 100644
--- a/python/pyarmnn/examples/object_detection/README.md
+++ b/python/pyarmnn/examples/object_detection/README.md
@@ -54,7 +54,7 @@
 You can also verify it by running the following and getting output similar to below:
 ```bash
 $ python -c "import pyarmnn as ann;print(ann.GetVersion())"
-'29.0.0'
+'30.0.0'
 ```
 
 ##### Dependencies
diff --git a/python/pyarmnn/examples/speech_recognition/README.md b/python/pyarmnn/examples/speech_recognition/README.md
index 854cdaf..d5fee8a 100644
--- a/python/pyarmnn/examples/speech_recognition/README.md
+++ b/python/pyarmnn/examples/speech_recognition/README.md
@@ -18,7 +18,7 @@
 
 ```bash
 $ python -c "import pyarmnn as ann;print(ann.GetVersion())"
-'29.0.0'
+'30.0.0'
 ```
 
 ### Dependencies
diff --git a/python/pyarmnn/src/pyarmnn/_version.py b/python/pyarmnn/src/pyarmnn/_version.py
index 7c0940e..d1b1ca2 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 @@
     """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:
diff --git a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i
index a2f57a3..55b6795 100644
--- a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i
+++ b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i
@@ -29,7 +29,7 @@
                                that can not be reduced will be left in Fp32.
     m_ReduceFp32ToFp16 (bool): Reduces Fp32 network to Fp16 for faster processing. Layers
                                that can not be reduced will be left in Fp32.
-    m_ImportEnabled (bool):    Enable memory import.
+    m_ImportEnabled (bool):    Enable memory import of inport tensors.
     m_shapeInferenceMethod:    The ShapeInferenceMethod modifies how the output shapes are treated.
                                When ValidateOnly is selected, the output shapes are inferred from the input parameters
                                of the layer and any mismatch is reported.
@@ -38,6 +38,7 @@
                                with tensors which rank or dimension sizes are not specified explicitly, however this
                                information can be calculated from the inputs.
     m_ModelOptions:            List of backends optimisation options.
+    m_ExportEnabled (bool):    Enable memory export of output tensors.
 
 ") OptimizerOptions;
 
@@ -51,7 +52,8 @@
                      bool reduceFp32ToBf16 = false,
                      ShapeInferenceMethod shapeInferenceMethod = armnn::ShapeInferenceMethod::ValidateOnly,
                      bool importEnabled = false,
-                     std::vector<armnn::BackendOptions> modelOptions = {});
+                     std::vector<armnn::BackendOptions> modelOptions = {},
+                     bool exportEnabled = false);
 
     bool m_ReduceFp32ToBf16;
     bool m_ReduceFp32ToFp16;
@@ -59,6 +61,7 @@
     ShapeInferenceMethod m_shapeInferenceMethod;
     bool m_ImportEnabled;
     std::vector<armnn::BackendOptions> m_ModelOptions;
+    bool m_ExportEnabled;
 };
 %model_options_clear;
 
diff --git a/python/pyarmnn/test/test_modeloption.py b/python/pyarmnn/test/test_modeloption.py
index c03d4a8..a47d2da 100644
--- a/python/pyarmnn/test/test_modeloption.py
+++ b/python/pyarmnn/test/test_modeloption.py
@@ -71,7 +71,8 @@
                           False,
                           ShapeInferenceMethod_InferAndValidate,
                           True,
-                          [a])
+                          [a],
+                          True)
 
     mo = oo.m_ModelOptions
 
@@ -112,7 +113,8 @@
                          False,
                          ShapeInferenceMethod_InferAndValidate,
                          True,
-                         a)
+                         a,
+                         True)
 
     assert "Wrong number or type of arguments" in str(err.value)
 
@@ -122,7 +124,8 @@
                          True,
                          ShapeInferenceMethod_InferAndValidate,
                          True,
-                         [a])
+                         [a],
+                         True)
 
     assert "BFloat16 and Float16 optimization cannot be enabled at the same time" in str(err.value)
 
diff --git a/python/pyarmnn/test/test_runtime.py b/python/pyarmnn/test/test_runtime.py
index a37772c..a6c4e1d 100644
--- a/python/pyarmnn/test/test_runtime.py
+++ b/python/pyarmnn/test/test_runtime.py
@@ -156,8 +156,8 @@
     opt_network, _ = ann.Optimize(network, preferred_backends,
                                   runtime.GetDeviceSpec(), ann.OptimizerOptions())
 
-    inputSource = ann.MemorySource_Malloc
-    outputSource = ann.MemorySource_Malloc
+    inputSource = ann.MemorySource_Undefined
+    outputSource = ann.MemorySource_Undefined
     properties = ann.INetworkProperties(False, inputSource, outputSource)
     net_id, messages = runtime.LoadNetwork(opt_network, properties)
     assert "" == messages
diff --git a/python/pyarmnn/test/test_setup.py b/python/pyarmnn/test/test_setup.py
index 4a6f930..27feda2 100644
--- a/python/pyarmnn/test/test_setup.py
+++ b/python/pyarmnn/test/test_setup.py
@@ -87,15 +87,15 @@
 
 
 def test_armnn_version():
-    check_armnn_version('29.0.0', '29.0.0')
+    check_armnn_version('30.0.0', '30.0.0')
 
 
 def test_incorrect_armnn_version():
     with pytest.raises(AssertionError) as err:
-        check_armnn_version('29.0.0', '29.1.0')
+        check_armnn_version('30.0.0', '30.1.0')
 
-    assert 'Expected ArmNN version is 29.1.0 but installed ArmNN version is 29.0.0' in str(err.value)
+    assert 'Expected ArmNN version is 30.1.0 but installed ArmNN version is 30.0.0' in str(err.value)
 
 
 def test_armnn_version_patch_does_not_matter():
-    check_armnn_version('29.0.0', '29.0.1')
+    check_armnn_version('30.0.0', '30.0.1')
diff --git a/python/pyarmnn/test/test_version.py b/python/pyarmnn/test/test_version.py
index f74ae02..83606ab 100644
--- a/python/pyarmnn/test/test_version.py
+++ b/python/pyarmnn/test/test_version.py
@@ -18,7 +18,7 @@
 
     importlib.reload(v)
 
-    assert "29.0.0.dev1" == v.__version__
+    assert "30.0.0.dev1" == v.__version__
 
     del os.environ["PYARMNN_DEV_VER"]
     del v
@@ -30,7 +30,7 @@
 
     importlib.reload(v)
 
-    assert "29.0.0" == v.__arm_ml_version__
+    assert "30.0.0" == v.__arm_ml_version__
 
     del os.environ["PYARMNN_DEV_VER"]
     del v