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| author | Jan Eilers <jan.eilers@arm.com> | 2020-03-09 12:13:48 +0000 |
|---|---|---|
| committer | Jan Eilers <jan.eilers@arm.com> | 2020-03-10 10:07:43 +0000 |
| commit | 8eb256065f0e75ecf8e427d56955e2bac117c2d7 (patch) | |
| tree | 1387fb4ea4a741475449d78be63d601f9d84b6e5 /src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp | |
| parent | 8832522f47b701f5f042069e7bf8deae9b75d449 (diff) | |
| download | armnn-8eb256065f0e75ecf8e427d56955e2bac117c2d7.tar.gz | |
IVGCVSW-4482 Remove boost::ignore_unused
!referencetests:229377
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ia9b360b4a057fe7bbce5b268092627c09a0dba82
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp index 669398fb54..89cdd96e37 100644 --- a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp @@ -8,7 +8,7 @@ #include <QuantizeHelper.hpp> #include <armnnUtils/TensorUtils.hpp> - +#include <armnn/utility/IgnoreUnused.hpp> #include <armnnUtils/DataLayoutIndexed.hpp> #include <armnnUtils/Permute.hpp> @@ -217,7 +217,7 @@ LayerTestResult<T, 4> SimpleConvolution2dTestImpl( uint32_t dilationX = 1, uint32_t dilationY = 1) { - boost::ignore_unused(memoryManager); + armnn::IgnoreUnused(memoryManager); unsigned int inputHeight = boost::numeric_cast<unsigned int>(originalInput.shape()[2]); unsigned int inputWidth = boost::numeric_cast<unsigned int>(originalInput.shape()[3]); unsigned int inputChannels = boost::numeric_cast<unsigned int>(originalInput.shape()[1]); @@ -381,7 +381,7 @@ LayerTestResult<T, 4> SimpleConvolution2dNhwcTestImpl( uint32_t strideX = 1, uint32_t strideY = 1) { - boost::ignore_unused(qScale, qOffset); + armnn::IgnoreUnused(qScale, qOffset); unsigned int inputNum = boost::numeric_cast<unsigned int>(input.shape()[0]); unsigned int inputChannels = boost::numeric_cast<unsigned int>(input.shape()[3]); unsigned int inputHeight = boost::numeric_cast<unsigned int>(input.shape()[1]); @@ -587,7 +587,7 @@ LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon( bool biasEnabled, armnn::DataLayout dataLayout) { - boost::ignore_unused(biasEnabled); + armnn::IgnoreUnused(biasEnabled); // Use common single-batch 5x5 image. armnn::TensorInfo inputDesc({1, 3, 4, 1}, ArmnnType); @@ -640,7 +640,7 @@ LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon( bool biasEnabled, const armnn::DataLayout& dataLayout) { - boost::ignore_unused(biasEnabled); + armnn::IgnoreUnused(biasEnabled); // Input is a single-batch, 1 channel, 5x5 image. armnn::TensorInfo inputDesc({1, 5, 5, 1}, ArmnnType); |