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, 13 insertions, 6 deletions

diff --git a/src/backends/backendsCommon/test/QuantizedLstmEndToEndTestImpl.cpp b/src/backends/backendsCommon/test/QuantizedLstmEndToEndTestImpl.cpp
index a2fadc7b92..f178951873 100644
--- a/src/backends/backendsCommon/test/QuantizedLstmEndToEndTestImpl.cpp
+++ b/src/backends/backendsCommon/test/QuantizedLstmEndToEndTestImpl.cpp
@@ -46,14 +46,14 @@ armnn::INetworkPtr CreateQuantizedLstmNetwork(armnn::TensorShape& inputShape,
     armnn::TensorInfo inputWeightsInfo({outputSize, inputSize},
                                        armnn::DataType::QAsymmU8,
                                        weightsScale,
-                                       weightsOffset);
+                                       weightsOffset, true);
 
     armnn::TensorInfo recurrentWeightsInfo({outputSize, outputSize},
                                            armnn::DataType::QAsymmU8,
                                            weightsScale,
-                                           weightsOffset);
+                                           weightsOffset, true);
 
-    armnn::TensorInfo biasInfo({outputSize}, armnn::DataType::Signed32, biasScale, biasOffset);
+    armnn::TensorInfo biasInfo({outputSize}, armnn::DataType::Signed32, biasScale, biasOffset, true);
 
     armnn::QuantizedLstmInputParams data;
 
@@ -210,9 +210,16 @@ void QuantizedLstmEndToEnd(const std::vector<armnn::BackendId>& backends)
     inputTensors.reserve(3);
 
     // input
-    inputTensors.push_back({0, ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputVector.data())});
-    inputTensors.push_back({1, ConstTensor(runtime->GetInputTensorInfo(netId, 1), cellStateInVector.data())});
-    inputTensors.push_back({2, ConstTensor(runtime->GetInputTensorInfo(netId, 2), outputStateInVector.data())});
+    TensorInfo inputTensorInfo0 = runtime->GetInputTensorInfo(netId, 0);
+    TensorInfo inputTensorInfo1 = runtime->GetInputTensorInfo(netId, 1);
+    TensorInfo inputTensorInfo2 = runtime->GetInputTensorInfo(netId, 2);
+    inputTensorInfo0.SetConstant(true);
+    inputTensorInfo1.SetConstant(true);
+    inputTensorInfo2.SetConstant(true);
+
+    inputTensors.push_back({0, ConstTensor(inputTensorInfo0, inputVector.data())});
+    inputTensors.push_back({1, ConstTensor(inputTensorInfo1, cellStateInVector.data())});
+    inputTensors.push_back({2, ConstTensor(inputTensorInfo2, outputStateInVector.data())});
 
     OutputTensors outputTensors;
     outputTensors.reserve(2);