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, 3 deletions

diff --git a/src/profiling/test/ProfilingTestUtils.cpp b/src/profiling/test/ProfilingTestUtils.cpp
index 79b8ea41da..e0d3dd717c 100644
--- a/src/profiling/test/ProfilingTestUtils.cpp
+++ b/src/profiling/test/ProfilingTestUtils.cpp
@@ -381,8 +381,8 @@ void VerifyPostOptimisationStructureTestImpl(armnn::BackendId backendId)
 
     // Convolution details
     TensorInfo inputInfo({ 1, 2, 5, 1 }, DataType::Float32);
-    TensorInfo weightInfo({ 3, 2, 3, 1 }, DataType::Float32);
-    TensorInfo biasInfo({ 3 }, DataType::Float32);
+    TensorInfo weightInfo({ 3, 2, 3, 1 }, DataType::Float32, 0.0f, 0, true);
+    TensorInfo biasInfo({ 3 }, DataType::Float32, 0.0f, 0, true);
     TensorInfo outputInfo({ 1, 3, 7, 1 }, DataType::Float32);
     std::vector<float> weightsData{
         1.0f, 0.0f, 0.0f,
@@ -742,9 +742,11 @@ void VerifyPostOptimisationStructureTestImpl(armnn::BackendId backendId)
     std::vector<float> inputData(inputInfo.GetNumElements());
     std::vector<float> outputData(outputInfo.GetNumElements());
 
+    TensorInfo inputTensorInfo = runtime.GetInputTensorInfo(netId, 0);
+    inputTensorInfo.SetConstant(true);
     InputTensors inputTensors
         {
-        {0, ConstTensor(runtime.GetInputTensorInfo(netId, 0), inputData.data())}
+        {0, ConstTensor(inputTensorInfo, inputData.data())}
         };
     OutputTensors outputTensors
         {