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
diff --git a/src/backends/backendsCommon/test/ArgMinMaxEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/ArgMinMaxEndToEndTestImpl.hpp
index 2ffe06f..041f9f8 100644
--- a/src/backends/backendsCommon/test/ArgMinMaxEndToEndTestImpl.hpp
+++ b/src/backends/backendsCommon/test/ArgMinMaxEndToEndTestImpl.hpp
@@ -47,7 +47,7 @@
const float qScale = armnn::IsQuantizedType<T>() ? 2.0f : 1.0f;
const int32_t qOffset = armnn::IsQuantizedType<T>() ? 2 : 0;
- armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset, true);
armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Signed32);
// quantize data