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Diffstat (limited to 'src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.cpp')
-rw-r--r--src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.cpp10
1 files changed, 5 insertions, 5 deletions
diff --git a/src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.cpp b/src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.cpp
index 4e5baade27..e3b016ee94 100644
--- a/src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.cpp
+++ b/src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.cpp
@@ -34,7 +34,7 @@ armnn::INetworkPtr CreateSpaceToDepthNetwork(const armnn::TensorShape& inputShap
// Builds up the structure of the network.
INetworkPtr net(INetwork::Create());
- TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset);
+ TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true);
armnnUtils::DataLayoutIndexed dimensionIndices(dataLayout);
if (inputShape[dimensionIndices.GetHeightIndex()] % blockSize!=0
@@ -102,7 +102,7 @@ void SpaceToDepthNhwcEndToEndTest1(const std::vector<armnn::BackendId>& defaultB
const unsigned int blockSize = 2;
TensorShape inputShape{1, 2, 2, 1};
- TensorInfo inputTensorInfo(inputShape, DataType::Float32);
+ TensorInfo inputTensorInfo(inputShape, DataType::Float32, 0.0f, 0, true);
TensorShape outputShape{1, 1, 1, 4};
TensorInfo outputTensorInfo(outputShape, DataType::Float32);
@@ -133,7 +133,7 @@ void SpaceToDepthNchwEndToEndTest1(const std::vector<armnn::BackendId>& defaultB
const unsigned int blockSize = 2;
TensorShape inputShape{1, 2, 2, 1};
- TensorInfo inputTensorInfo(inputShape, DataType::Float32);
+ TensorInfo inputTensorInfo(inputShape, DataType::Float32, 0.0f, 0, true);
TensorShape outputShape{1, 1, 1, 4};
TensorInfo outputTensorInfo(outputShape, DataType::Float32);
@@ -167,7 +167,7 @@ void SpaceToDepthNhwcEndToEndTest2(const std::vector<armnn::BackendId>& defaultB
TensorShape outputShape{1, 1, 1, 8};
TensorInfo outputTensorInfo(outputShape, DataType::Float32);
- TensorInfo inputTensorInfo(inputShape, DataType::Float32);
+ TensorInfo inputTensorInfo(inputShape, DataType::Float32, 0.0f, 0, true);
std::vector<float> inputData = std::vector<float>(
{
@@ -197,7 +197,7 @@ void SpaceToDepthNchwEndToEndTest2(const std::vector<armnn::BackendId>& defaultB
TensorShape inputShape{1, 2, 2, 2};
TensorShape outputShape{1, 1, 1, 8};
- TensorInfo inputTensorInfo(inputShape, DataType::Float32);
+ TensorInfo inputTensorInfo(inputShape, DataType::Float32, 0.0f, 0, true);
TensorInfo outputTensorInfo(outputShape, DataType::Float32);