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| author | Rob Hughes <robert.hughes@arm.com> | 2021-10-07 08:53:58 +0100 |
|---|---|---|
| committer | Matthew Sloyan <matthew.sloyan@arm.com> | 2021-10-07 10:11:13 +0000 |
| commit | eb70c91a4180b1b437040b00296ff0065de6f051 (patch) | |
| tree | 2153488fb5161232125a106daabbb1b1b1ba518f | |
| parent | ca49a24a2b19e4d8e45efc53e336223c5895f25a (diff) | |
| download | armnn-eb70c91a4180b1b437040b00296ff0065de6f051.tar.gz | |
Fix compile errors/warnings found on MSVC
* Fix incorrect type used for loop variable (leading to conversion warnings)
* Fix use of non-standard datatype u_int8_t
Change-Id: Ide43d504e2df259c036e38c448247636dba278ad
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/Conv3dTestImpl.cpp | 2 | ||||
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/Conv3dTestImpl.hpp | 8 |
2 files changed, 5 insertions, 5 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/Conv3dTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/Conv3dTestImpl.cpp index 2f02189051..259272d996 100644 --- a/src/backends/backendsCommon/test/layerTests/Conv3dTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/Conv3dTestImpl.cpp @@ -63,7 +63,7 @@ void ApplyBiasToData(std::vector<T>& v, const std::vector<B>& bias, for (uint32_t i = 0; i < bias.size(); ++i) { - for (long unsigned int j = i; j < v.size(); j+=bias.size()) + for (size_t j = i; j < v.size(); j+=bias.size()) { // Note we need to dequantize and re-quantize the image value and the bias. float dBias = SelectiveDequantize(bias[i], bScale, bOffset); diff --git a/src/backends/backendsCommon/test/layerTests/Conv3dTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/Conv3dTestImpl.hpp index 45a6786e39..a07c183c76 100644 --- a/src/backends/backendsCommon/test/layerTests/Conv3dTestImpl.hpp +++ b/src/backends/backendsCommon/test/layerTests/Conv3dTestImpl.hpp @@ -32,7 +32,7 @@ LayerTestResult<int8_t , 5> SimpleConvolution3d3x3x3Int8Test( const armnn::ITensorHandleFactory& tensorHandleFactory, bool biasEnabled); -LayerTestResult<u_int8_t, 5> SimpleConvolution3d3x3x3Uint8Test( +LayerTestResult<uint8_t, 5> SimpleConvolution3d3x3x3Uint8Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, const armnn::ITensorHandleFactory& tensorHandleFactory, @@ -56,7 +56,7 @@ LayerTestResult<int8_t , 5> Convolution3d2x2x2Strides3x5x5Int8Test( const armnn::ITensorHandleFactory& tensorHandleFactory, bool biasEnabled); -LayerTestResult<u_int8_t, 5> Convolution3d2x2x2Strides3x5x5Uint8Test( +LayerTestResult<uint8_t, 5> Convolution3d2x2x2Strides3x5x5Uint8Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, const armnn::ITensorHandleFactory& tensorHandleFactory, @@ -80,7 +80,7 @@ LayerTestResult<int8_t , 5> Convolution3d2x2x2Dilation2x2x2Int8Test( const armnn::ITensorHandleFactory& tensorHandleFactory, bool biasEnabled); -LayerTestResult<u_int8_t, 5> Convolution3d2x2x2Dilation2x2x2Uint8Test( +LayerTestResult<uint8_t, 5> Convolution3d2x2x2Dilation2x2x2Uint8Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, const armnn::ITensorHandleFactory& tensorHandleFactory, @@ -104,7 +104,7 @@ LayerTestResult<int8_t , 5> Convolution3dPaddingSame3x3x3Int8Test( const armnn::ITensorHandleFactory& tensorHandleFactory, bool biasEnabled); -LayerTestResult<u_int8_t, 5> Convolution3dPaddingSame3x3x3Uint8Test( +LayerTestResult<uint8_t, 5> Convolution3dPaddingSame3x3x3Uint8Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, const armnn::ITensorHandleFactory& tensorHandleFactory, |