diff options
Diffstat (limited to 'src/backends/backendsCommon/test/SplitterTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/SplitterTestImpl.hpp | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/src/backends/backendsCommon/test/SplitterTestImpl.hpp b/src/backends/backendsCommon/test/SplitterTestImpl.hpp index 004060f0b8..de677ef45d 100644 --- a/src/backends/backendsCommon/test/SplitterTestImpl.hpp +++ b/src/backends/backendsCommon/test/SplitterTestImpl.hpp @@ -46,15 +46,15 @@ std::vector<LayerTestResult<T,3>> SplitterTestCommon( // Define the tensor descriptors. - armnn::TensorInfo inputTensorInfo({ inputChannels, inputHeight, inputWidth }, ArmnnType); + armnn::TensorInfo inputTensorInfo({ inputChannels, inputHeight, inputWidth }, ArmnnType, qScale, qOffset); // Outputs of the original split. - armnn::TensorInfo outputTensorInfo1({ outputChannels1, outputHeight1, outputWidth1 }, ArmnnType); - armnn::TensorInfo outputTensorInfo2({ outputChannels2, outputHeight2, outputWidth2 }, ArmnnType); + armnn::TensorInfo outputTensorInfo1({ outputChannels1, outputHeight1, outputWidth1 }, ArmnnType, qScale, qOffset); + armnn::TensorInfo outputTensorInfo2({ outputChannels2, outputHeight2, outputWidth2 }, ArmnnType, qScale, qOffset); // Outputs of the subsequent subtensor split. - armnn::TensorInfo outputTensorInfo3({ outputChannels1, outputHeight1, outputWidth1 }, ArmnnType); - armnn::TensorInfo outputTensorInfo4({ outputChannels1, outputHeight1, outputWidth1 }, ArmnnType); + armnn::TensorInfo outputTensorInfo3({ outputChannels1, outputHeight1, outputWidth1 }, ArmnnType, qScale, qOffset); + armnn::TensorInfo outputTensorInfo4({ outputChannels1, outputHeight1, outputWidth1 }, ArmnnType, qScale, qOffset); // Set quantization parameters if the requested type is a quantized type. // The quantization doesn't really matter as the splitter operator doesn't dequantize/quantize. @@ -251,7 +251,7 @@ LayerTestResult<T, 3> CopyViaSplitterTestImpl( const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, float qScale, int32_t qOffset) { - const armnn::TensorInfo tensorInfo({ 3, 6, 5 }, ArmnnType); + const armnn::TensorInfo tensorInfo({ 3, 6, 5 }, ArmnnType, qScale, qOffset); auto input = MakeTensor<T, 3>(tensorInfo, QuantizedVector<T>(qScale, qOffset, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, |