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Diffstat (limited to 'src/armnn/test/RuntimeTests.cpp')
-rw-r--r--src/armnn/test/RuntimeTests.cpp10
1 files changed, 6 insertions, 4 deletions
diff --git a/src/armnn/test/RuntimeTests.cpp b/src/armnn/test/RuntimeTests.cpp
index 397a545878..f055f2368b 100644
--- a/src/armnn/test/RuntimeTests.cpp
+++ b/src/armnn/test/RuntimeTests.cpp
@@ -97,8 +97,8 @@ TEST_CASE("RuntimePreImportInputs")
std::vector<int> inputData2(4, 20);
std::vector<int> output(4);
- ConstTensor inputTensor1({{4}, armnn::DataType::Signed32}, inputData1.data());
- ConstTensor inputTensor2({{4}, armnn::DataType::Signed32}, inputData2.data());
+ ConstTensor inputTensor1({{4}, armnn::DataType::Signed32, 0.0f, 0, true}, inputData1.data());
+ ConstTensor inputTensor2({{4}, armnn::DataType::Signed32, 0.0f, 0, true}, inputData2.data());
Tensor outputTensor({{4}, armnn::DataType::Signed32}, output.data());
auto importedInputVec1 = runtime->ImportInputs(networkId, {{0, inputTensor1}});
@@ -177,7 +177,7 @@ TEST_CASE("RuntimePreImportOutputs")
armnn::NetworkId networkId = 1;
armnn::INetworkPtr testNetwork(armnn::INetwork::Create());
- TensorInfo tensorInfo{{4}, armnn::DataType::Float32};
+ TensorInfo tensorInfo{{4}, armnn::DataType::Float32, 0.0f, 0, true};
auto inputLayer1 = testNetwork->AddInputLayer(0, "input 1 layer");
inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo);
@@ -902,9 +902,11 @@ TEST_CASE("ProfilingEnableCpuRef")
std::vector<float> inputData(16);
std::vector<float> outputData(16);
+ TensorInfo inputTensorInfo = runtime.GetInputTensorInfo(netId, 0);
+ inputTensorInfo.SetConstant(true);
InputTensors inputTensors
{
- {0, ConstTensor(runtime.GetInputTensorInfo(netId, 0), inputData.data())}
+ {0, ConstTensor(inputTensorInfo, inputData.data())}
};
OutputTensors outputTensors
{