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/samples/DynamicSample.cpp b/samples/DynamicSample.cpp
index ffcc9de..8a6ff92 100644
--- a/samples/DynamicSample.cpp
+++ b/samples/DynamicSample.cpp
@@ -62,10 +62,12 @@
};
std::vector<float> outputData(2);
+ TensorInfo inputTensorInfo = run->GetInputTensorInfo(networkIdentifier, 0);
+ inputTensorInfo.SetConstant(true);
InputTensors inputTensors
{
- {0,armnn::ConstTensor(run->GetInputTensorInfo(networkIdentifier, 0), input0Data.data())},
- {1,armnn::ConstTensor(run->GetInputTensorInfo(networkIdentifier, 0), input1Data.data())}
+ {0,armnn::ConstTensor(inputTensorInfo, input0Data.data())},
+ {1,armnn::ConstTensor(inputTensorInfo, 0), input1Data.data())}
};
OutputTensors outputTensors
{