diff options
| author | Derek Lamberti <derek.lamberti@arm.com> | 2019-12-10 21:57:35 +0000 |
|---|---|---|
| committer | Jim Flynn Arm <jim.flynn@arm.com> | 2019-12-17 19:56:24 +0000 |
| commit | c374ff06b9e9f45bcf48f4af6bda054f4b243cf6 (patch) | |
| tree | bbf246ffa218df56ccbfda30e5e64c1e6bbfdf06 /src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp | |
| parent | 7f834729c3d967f5b0f774c13eb4ebb3bf9041d5 (diff) | |
| download | armnn-c374ff06b9e9f45bcf48f4af6bda054f4b243cf6.tar.gz | |
IVGCVSW-4246 Clean build of LayerTests with -Wextra
Change-Id: If3d98e45a6e2fa8e1afd19a4052334335feacf63
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp index e825fffaea..a00fda7679 100644 --- a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp @@ -218,6 +218,7 @@ LayerTestResult<T, 4> SimpleConvolution2dTestImpl( uint32_t dilationX = 1, uint32_t dilationY = 1) { + boost::ignore_unused(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]); @@ -381,6 +382,7 @@ LayerTestResult<T, 4> SimpleConvolution2dNhwcTestImpl( uint32_t strideX = 1, uint32_t strideY = 1) { + boost::ignore_unused(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]); @@ -586,6 +588,7 @@ LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon( bool biasEnabled, armnn::DataLayout dataLayout) { + boost::ignore_unused(biasEnabled); // Use common single-batch 5x5 image. armnn::TensorInfo inputDesc({1, 3, 4, 1}, ArmnnType); @@ -638,6 +641,8 @@ LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon( bool biasEnabled, const armnn::DataLayout& dataLayout) { + boost::ignore_unused(biasEnabled); + // Input is a single-batch, 1 channel, 5x5 image. armnn::TensorInfo inputDesc({1, 5, 5, 1}, ArmnnType); boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |