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| author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-10-22 10:00:28 +0100 |
|---|---|---|
| committer | Matteo Martincigh <matteo.martincigh@arm.com> | 2019-10-25 15:01:24 +0000 |
| commit | 48623a0f6f4681ce0d9525b1587b7f96bfd58519 (patch) | |
| tree | f5dbf25937e7b6641274e0953d09ca84acb51772 /src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp | |
| parent | c82c8732fb514b412012002bd951a84039eca696 (diff) | |
| download | armnn-48623a0f6f4681ce0d9525b1587b7f96bfd58519.tar.gz | |
IVGCVSW-4018 Move QuantizeHelper.hpp to armnnUtils
* Moved QuntizeHelper.hpp to armnnUtils
* Reordered parameters for QuantizedVector and added default
values for qScale and qOffset to make life easier when
using the function for non-quantized types such as Float16
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I28c263dfa425f1316feccb4116839a84f5d568e5
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp | 25 |
1 files changed, 15 insertions, 10 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp index 18a5bd035c..dc9b908b12 100644 --- a/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp +++ b/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp @@ -7,6 +7,7 @@ #include "LayerTestResult.hpp" +#include <QuantizeHelper.hpp> #include <ResolveType.hpp> #include <armnn/ArmNN.hpp> @@ -57,18 +58,22 @@ LayerTestResult<T, 4> PreluTest( 0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f }; - auto input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), - inputTensorInfo.GetQuantizationOffset(), - inputData)); - auto alpha = MakeTensor<T, 4>(alphaTensorInfo, QuantizedVector<T>(alphaTensorInfo.GetQuantizationScale(), - alphaTensorInfo.GetQuantizationOffset(), - alphaData)); + auto input = MakeTensor<T, 4>(inputTensorInfo, + armnnUtils::QuantizedVector<T>(inputData, + inputTensorInfo.GetQuantizationScale(), + inputTensorInfo.GetQuantizationOffset())); + + auto alpha = MakeTensor<T, 4>(alphaTensorInfo, + armnnUtils::QuantizedVector<T>(alphaData, + alphaTensorInfo.GetQuantizationScale(), + alphaTensorInfo.GetQuantizationOffset())); LayerTestResult<T, 4> result(outputTensorInfo); - result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, - QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), - outputTensorInfo.GetQuantizationOffset(), - outputExpectedData)); + result.outputExpected = + MakeTensor<T, 4>(outputTensorInfo, + armnnUtils::QuantizedVector<T>(outputExpectedData, + outputTensorInfo.GetQuantizationScale(), + outputTensorInfo.GetQuantizationOffset())); std::unique_ptr <armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr <armnn::ITensorHandle> alphaHandle = workloadFactory.CreateTensorHandle(alphaTensorInfo); |