diff options
author | Rob Hughes <robert.hughes@arm.com> | 2020-05-20 15:27:37 +0100 |
---|---|---|
committer | Rob Hughes <robert.hughes@arm.com> | 2020-06-02 13:55:30 +0000 |
commit | bb46dde88befe14583eaac83f65775a7543d4586 (patch) | |
tree | 61baff7d93acd0a24184bc0dfa8af540168e1e4c /src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp | |
parent | 8acafd13ad2169b6edc86f5e42602ec604d39648 (diff) | |
download | armnn-bb46dde88befe14583eaac83f65775a7543d4586.tar.gz |
Fix a few build warnings:
* Remove redundant asserts for unsigned ints being positive
* Remove unneeded include of lightweight_test.hpp header
* Remove unused exception variable names
* Replace hardcoded 0.0f with T() for some template functions
* Add a few static_casts
Change-Id: I290b0433cf995f6d0199422eaa10f816e5fd8eb9
Signed-off-by: Robert Hughes <robert.hughes@arm.com>
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp index 154ece2657..acc888ebc0 100644 --- a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp @@ -76,7 +76,7 @@ boost::multi_array<T, 1> GetBias2(bool biasEnabled, float qScale) if(biasEnabled) { armnn::TensorInfo biasDesc({static_cast<unsigned int>(Bias2.size())}, ArmnnType); - boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(Bias2, qScale, 0.0f)); + boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(Bias2, qScale, 0)); return bias; } else @@ -92,7 +92,7 @@ boost::multi_array<T, 1> GetBias4(bool biasEnabled, float qScale) if(biasEnabled) { armnn::TensorInfo biasDesc({static_cast<unsigned int>(Bias4.size())}, ArmnnType); - boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(Bias4, qScale, 0.0f)); + boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(Bias4, qScale, 0)); return bias; } else @@ -108,7 +108,7 @@ boost::multi_array<T, 1> GetBias8(bool biasEnabled, float qScale) if(biasEnabled) { armnn::TensorInfo biasDesc({static_cast<unsigned int>(Bias4.size())}, ArmnnType); - boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(Bias8, qScale, 0.0f)); + boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(Bias8, qScale, 0)); return bias; } else |