IVGCVSW-6420: Constant flag in tensor info is not set correctly

!android-nn-driver:6532
!armnn-internal-tests:372451

  * Made fix to 2 out of 3 ConstTensor() constructors in Tensor.hpp to
    throw InvalidArgumentException when TensorInfo isConstant parameter
    is false.
  * Added new ConstTensor() constructor in Tensor.cpp to accept vector<>.data()
    using template<typename MemoryType>.
  * Fixed runtime->GetOutputTensorInfo()/GetInputTensorInfo() methods and
    called submethods to return TensorInfo& rather than TensorInfo.
  * Fixed all failing unit tests for CpuRef/CpuAcc/GpuAcc to ensure any
    ConstTensor created has it's TensorInfo isConstant set to true.
  * Added unit tests in TensorTest.cpp to ensure ConstTensor constructors
    throw InvalidArgumentException when TensorInfo isConstat parameter is
    false.
  * Added unit test to ensure an empty ConstTensor constructor will set
    TensorInfo isConatant to true.
  * Indentation fixes.
  * Fix to arm_tensor.i to add isConstant parameter to TensorInfo
    constructor. Added methods IsConstant() and SetConstant().
  * Fix to const_tensor.py to throw ValueError when TensorInfo
    isConstant is set to false when constructing a ConstTensor.
  * Fixed PyArmnn unit tests to set TensorInfo isConstant to
    True when ConstTensor is used.
  * Added unit tests in test_const_tensor.py to ensure ConstTensor
    constructors throw ValueError when TensorInfo isConstat parameter
    is false.

Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I44e440dd0422c366d31bbdbc77ad2b4db0bde148

1 files changed, 5 insertions, 5 deletions

diff --git a/src/backends/backendsCommon/test/InstanceNormalizationEndToEndTestImpl.cpp b/src/backends/backendsCommon/test/InstanceNormalizationEndToEndTestImpl.cpp
index d758137b3b..e715e6b187 100644
--- a/src/backends/backendsCommon/test/InstanceNormalizationEndToEndTestImpl.cpp
+++ b/src/backends/backendsCommon/test/InstanceNormalizationEndToEndTestImpl.cpp
@@ -36,7 +36,7 @@ armnn::INetworkPtr CreateInstanceNormalizationNetwork(const armnn::TensorShape&
     // Builds up the structure of the network.
     INetworkPtr net(INetwork::Create());
 
-    TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset);
+    TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true);
 
     InstanceNormalizationDescriptor instanceNormalizationDesc;
     instanceNormalizationDesc.m_Gamma = gamma;
@@ -104,7 +104,7 @@ void InstanceNormalizationNhwcEndToEndTest1(const std::vector<armnn::BackendId>&
     const float gamma     = 1.0f;
 
     TensorShape inputShape{2, 2, 2, 2};
-    TensorInfo inputTensorInfo(inputShape, DataType::Float32);
+    TensorInfo inputTensorInfo(inputShape, DataType::Float32, 0.0f, 0, true);
 
     TensorShape outputShape{2, 2, 2, 2};
     TensorInfo outputTensorInfo(outputShape, DataType::Float32);
@@ -174,7 +174,7 @@ void InstanceNormalizationNchwEndToEndTest1(const std::vector<armnn::BackendId>&
     const float gamma     = 1.0f;
 
     TensorShape inputShape{2, 2, 2, 2};
-    TensorInfo inputTensorInfo(inputShape, DataType::Float32);
+    TensorInfo inputTensorInfo(inputShape, DataType::Float32, 0.0f, 0, true);
 
     TensorShape outputShape{2, 2, 2, 2};
     TensorInfo outputTensorInfo(outputShape, DataType::Float32);
@@ -248,7 +248,7 @@ void InstanceNormalizationNhwcEndToEndTest2(const std::vector<armnn::BackendId>&
     TensorShape outputShape{2, 2, 2, 2};
 
     TensorInfo outputTensorInfo(outputShape, DataType::Float32);
-    TensorInfo inputTensorInfo(inputShape, DataType::Float32);
+    TensorInfo inputTensorInfo(inputShape, DataType::Float32, 0.0f, 0, true);
 
     std::vector<float> inputData = std::vector<float>(
     {
@@ -319,7 +319,7 @@ void InstanceNormalizationNchwEndToEndTest2(const std::vector<armnn::BackendId>&
     TensorShape outputShape{2, 2, 2, 2};
 
     TensorInfo outputTensorInfo(outputShape, DataType::Float32);
-    TensorInfo inputTensorInfo(inputShape, DataType::Float32);
+    TensorInfo inputTensorInfo(inputShape, DataType::Float32, 0.0f, 0, true);
 
     std::vector<float> inputData = std::vector<float>(
         {