diff options
Diffstat (limited to 'src/backends/backendsCommon/test/InstanceNormalizationEndToEndTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/InstanceNormalizationEndToEndTestImpl.cpp | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/backends/backendsCommon/test/InstanceNormalizationEndToEndTestImpl.cpp b/src/backends/backendsCommon/test/InstanceNormalizationEndToEndTestImpl.cpp index d758137b3b..e715e6b187 100644 --- a/src/backends/backendsCommon/test/InstanceNormalizationEndToEndTestImpl.cpp +++ b/src/backends/backendsCommon/test/InstanceNormalizationEndToEndTestImpl.cpp @@ -36,7 +36,7 @@ armnn::INetworkPtr CreateInstanceNormalizationNetwork(const armnn::TensorShape& // Builds up the structure of the network. INetworkPtr net(INetwork::Create()); - TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset); + TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true); InstanceNormalizationDescriptor instanceNormalizationDesc; instanceNormalizationDesc.m_Gamma = gamma; @@ -104,7 +104,7 @@ void InstanceNormalizationNhwcEndToEndTest1(const std::vector<armnn::BackendId>& const float gamma = 1.0f; TensorShape inputShape{2, 2, 2, 2}; - TensorInfo inputTensorInfo(inputShape, DataType::Float32); + TensorInfo inputTensorInfo(inputShape, DataType::Float32, 0.0f, 0, true); TensorShape outputShape{2, 2, 2, 2}; TensorInfo outputTensorInfo(outputShape, DataType::Float32); @@ -174,7 +174,7 @@ void InstanceNormalizationNchwEndToEndTest1(const std::vector<armnn::BackendId>& const float gamma = 1.0f; TensorShape inputShape{2, 2, 2, 2}; - TensorInfo inputTensorInfo(inputShape, DataType::Float32); + TensorInfo inputTensorInfo(inputShape, DataType::Float32, 0.0f, 0, true); TensorShape outputShape{2, 2, 2, 2}; TensorInfo outputTensorInfo(outputShape, DataType::Float32); @@ -248,7 +248,7 @@ void InstanceNormalizationNhwcEndToEndTest2(const std::vector<armnn::BackendId>& TensorShape outputShape{2, 2, 2, 2}; 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>( { @@ -319,7 +319,7 @@ void InstanceNormalizationNchwEndToEndTest2(const std::vector<armnn::BackendId>& TensorShape outputShape{2, 2, 2, 2}; 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>( { |