Add PyArmNN to work with ArmNN API of 20.02

* Add Swig rules for generating python wrapper
* Add documentation
* Add tests and testing data

Change-Id: If48eda08931514fa21e72214dfead2835f07237c
Signed-off-by: Richard Burton <richard.burton@arm.com>
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>

1 files changed, 27 insertions, 0 deletions

diff --git a/python/pyarmnn/test/test_tensor_info.py b/python/pyarmnn/test/test_tensor_info.py
new file mode 100644
index 0000000000..dc73533869
--- /dev/null
+++ b/python/pyarmnn/test/test_tensor_info.py
@@ -0,0 +1,27 @@
+# Copyright © 2020 Arm Ltd. All rights reserved.
+# SPDX-License-Identifier: MIT
+import pyarmnn as ann
+
+
+def test_tensor_info_ctor_shape():
+    tensor_shape = ann.TensorShape((1, 1, 2))
+
+    tensor_info = ann.TensorInfo(tensor_shape, ann.DataType_QAsymmU8, 0.5, 1)
+
+    assert 2 == tensor_info.GetNumElements()
+    assert 3 == tensor_info.GetNumDimensions()
+    assert ann.DataType_QAsymmU8 == tensor_info.GetDataType()
+    assert 0.5 == tensor_info.GetQuantizationScale()
+    assert 1 == tensor_info.GetQuantizationOffset()
+
+    shape = tensor_info.GetShape()
+
+    assert 2 == shape.GetNumElements()
+    assert 3 == shape.GetNumDimensions()
+
+
+def test_tensor_info__str__():
+    tensor_info = ann.TensorInfo(ann.TensorShape((2, 3)), ann.DataType_QAsymmU8, 0.5, 1)
+
+    assert tensor_info.__str__() == "TensorInfo{DataType: 2, IsQuantized: 1, QuantizationScale: 0.500000, " \
+                                    "QuantizationOffset: 1, NumDimensions: 2, NumElements: 6}"