diff options
Diffstat (limited to 'src/backends')
-rw-r--r-- | src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp | 4 | ||||
-rw-r--r-- | src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp | 4 |
2 files changed, 4 insertions, 4 deletions
diff --git a/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp b/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp index 2226e09964..6ba7ccd8c7 100644 --- a/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp +++ b/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp @@ -21,7 +21,7 @@ arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo& input, const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); - unsigned int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0; + int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0; return arm_compute::CLL2NormalizeLayer::validate(&aclInput, &aclOutput, axis); } @@ -39,7 +39,7 @@ ClL2NormalizationFloatWorkload::ClL2NormalizationFloatWorkload(const L2Normaliza input.info()->set_data_layout(aclDataLayout); output.info()->set_data_layout(aclDataLayout); - unsigned int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0; + int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0; m_Layer.configure(&input, &output, axis); } diff --git a/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp b/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp index 99bbcfa824..efc21ed112 100644 --- a/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp +++ b/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp @@ -22,7 +22,7 @@ arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo& input, const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); - unsigned int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0; + int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0; return arm_compute::NEL2NormalizeLayer::validate(&aclInput, &aclOutput, axis); } @@ -40,7 +40,7 @@ NeonL2NormalizationFloatWorkload::NeonL2NormalizationFloatWorkload(const L2Norma input.info()->set_data_layout(aclDataLayout); output.info()->set_data_layout(aclDataLayout); - unsigned int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0; + int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0; auto layer = std::make_unique<arm_compute::NEL2NormalizeLayer>(memoryManager); layer->configure(&input, &output, axis); |