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Diffstat (limited to 'src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp')
-rw-r--r--src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp10
1 files changed, 6 insertions, 4 deletions
diff --git a/src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp b/src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp
index d68ab4c4ac..42dd49cdc1 100644
--- a/src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp
+++ b/src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp
@@ -7,7 +7,9 @@
#include "NeonWorkloadUtils.hpp"
+#include <armnn/utility/NumericCast.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
+
#include <ResolveType.hpp>
namespace armnn
@@ -23,8 +25,8 @@ arm_compute::Status NeonSpaceToBatchNdWorkloadValidate(const TensorInfo& input,
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
// ArmNN blockShape is [H, W] Cl asks for W, H
- int32_t blockHeight = boost::numeric_cast<int32_t>(descriptor.m_BlockShape[0]);
- int32_t blockWidth = boost::numeric_cast<int32_t>(descriptor.m_BlockShape[1]);
+ int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[0]);
+ int32_t blockWidth = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[1]);
arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
descriptor.m_PadList[1].first, descriptor.m_PadList[0].first);
@@ -51,8 +53,8 @@ NeonSpaceToBatchNdWorkload::NeonSpaceToBatchNdWorkload(const SpaceToBatchNdQueue
PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
// ArmNN blockShape is [H, W] Cl asks for W, H
- int32_t blockHeight = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
- int32_t blockWidth = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);
+ int32_t blockHeight = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
+ int32_t blockWidth = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);
arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
m_Data.m_Parameters.m_PadList[1].first, m_Data.m_Parameters.m_PadList[0].first);