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-rw-r--r--ArmnnPreparedModel.cpp11
1 files changed, 9 insertions, 2 deletions
diff --git a/ArmnnPreparedModel.cpp b/ArmnnPreparedModel.cpp
index e5746b8c..563abd44 100644
--- a/ArmnnPreparedModel.cpp
+++ b/ArmnnPreparedModel.cpp
@@ -216,7 +216,10 @@ Return<V1_0::ErrorStatus> ArmnnPreparedModel<HalVersion>::execute(
{
const auto& inputArg = request.inputs[i];
- const armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i);
+ armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i);
+ // pInputTensors (of type InputTensors) is composed of a vector of ConstTensors.
+ // Therefore, set all TensorInfo isConstant parameters of input Tensors to true.
+ inputTensorInfo.SetConstant();
const armnn::Tensor inputTensor = GetTensorForRequestArgument(inputArg, inputTensorInfo, *pMemPools);
if (inputTensor.GetMemoryArea() == nullptr)
{
@@ -351,7 +354,11 @@ bool ArmnnPreparedModel<HalVersion>::ExecuteWithDummyInputs()
armnn::InputTensors inputTensors;
for (unsigned int i = 0; i < getMainModel(m_Model).inputIndexes.size(); i++)
{
- const armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i);
+ armnn::TensorInfo inputTensorInfo = m_Runtime->GetInputTensorInfo(m_NetworkId, i);
+ // pInputTensors (of type InputTensors) is composed of a vector of ConstTensors.
+ // Therefore, set all TensorInfo isConstant parameters of input Tensors to true.
+ inputTensorInfo.SetConstant();
+
storage.emplace_back(inputTensorInfo.GetNumBytes());
const armnn::ConstTensor inputTensor(inputTensorInfo, storage.back().data());