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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/DepthToSpaceTestImpl.cpp | |
| 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/DepthToSpaceTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/DepthToSpaceTestImpl.cpp | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/DepthToSpaceTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/DepthToSpaceTestImpl.cpp index e21a4b64f8..4e8c938823 100644 --- a/src/backends/backendsCommon/test/layerTests/DepthToSpaceTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/DepthToSpaceTestImpl.cpp @@ -5,7 +5,7 @@ #include "DepthToSpaceTestImpl.hpp" -#include <Permute.hpp> +#include <QuantizeHelper.hpp> #include <armnn/ArmNN.hpp> @@ -44,10 +44,12 @@ LayerTestResult<T, 4> DepthToSpaceTestImpl( outputInfo.SetQuantizationOffset(qOffset); } - boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputInfo, QuantizedVector<T>(qScale, qOffset, inputData)); + boost::multi_array<T, 4> input = + MakeTensor<T, 4>(inputInfo, armnnUtils::QuantizedVector<T>(inputData, qScale, qOffset)); LayerTestResult<T, 4> result(outputInfo); - result.outputExpected = MakeTensor<T, 4>(outputInfo, QuantizedVector<T>(qScale, qOffset, expectedOutputData)); + result.outputExpected = + MakeTensor<T, 4>(outputInfo, armnnUtils::QuantizedVector<T>(expectedOutputData, qScale, qOffset)); std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo); |