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, 7 insertions, 7 deletions

diff --git a/src/backends/backendsCommon/test/QLstmEndToEndTestImpl.cpp b/src/backends/backendsCommon/test/QLstmEndToEndTestImpl.cpp
index 281bed18e7..e2147fc59b 100644
--- a/src/backends/backendsCommon/test/QLstmEndToEndTestImpl.cpp
+++ b/src/backends/backendsCommon/test/QLstmEndToEndTestImpl.cpp
@@ -80,22 +80,22 @@ void QLstmEndToEnd(const std::vector<armnn::BackendId>& backends)
     const armnn::TensorInfo inputWeightsInfo({outputSize, inputSize},
                                              armnn::DataType::QSymmS8,
                                              weightsScale,
-                                             weightsOffset);
+                                             weightsOffset, true);
 
     const armnn::TensorInfo recurrentWeightsInfo({outputSize, outputSize},
                                                  armnn::DataType::QSymmS8,
                                                  weightsScale,
-                                                 weightsOffset);
+                                                 weightsOffset, true);
 
     const armnn::TensorInfo biasInfo({outputSize},
                                      armnn::DataType::Signed32,
                                      biasScale,
-                                     biasOffset);
+                                     biasOffset, true);
 
     const armnn::TensorInfo layerNormWeightsInfo({numUnits},
                                                  armnn::DataType::QSymmS16,
                                                  layerNormScale,
-                                                 layerNormOffset);
+                                                 layerNormOffset, true);
 
     // Mandatory params
     const std::vector<int8_t> inputToForgetWeightsVector =
@@ -179,17 +179,17 @@ void QLstmEndToEnd(const std::vector<armnn::BackendId>& backends)
     const armnn::TensorInfo inputInfo({numBatches , inputSize},
                                       armnn::DataType::QAsymmS8,
                                       inputScale,
-                                      inputOffset);
+                                      inputOffset, true);
 
     const armnn::TensorInfo cellStateInfo({numBatches , numUnits},
                                           armnn::DataType::QSymmS16,
                                           cellStateScale,
-                                          cellStateOffset);
+                                          cellStateOffset, true);
 
     const armnn::TensorInfo outputStateInfo({numBatches , outputSize},
                                             armnn::DataType::QAsymmS8,
                                             outputScale,
-                                            outputOffset);
+                                            outputOffset, true);
 
     // Input tensor data
     const std::vector<int8_t> inputVector         = {90, 102, 13, 26, 38, 102, 13, 26, 51, 64};