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| author | Matthew Sloyan <matthew.sloyan@arm.com> | 2020-09-09 09:07:37 +0100 |
|---|---|---|
| committer | Jan Eilers <jan.eilers@arm.com> | 2020-09-17 08:31:09 +0000 |
| commit | 171214c8ff275c90cd4f7fc23a34ec2c83b5ea39 (patch) | |
| tree | 23fd3ee288d631c8c94bede71f89f0f1e12da862 /src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp | |
| parent | a25886e0966a6b9433cd23595688fadb88a161b2 (diff) | |
| download | armnn-171214c8ff275c90cd4f7fc23a34ec2c83b5ea39.tar.gz | |
IVGCVSW-5300 Remove some boost::numeric_cast from armnn/backends
* Replaced with armnn/utility/NumericCast.hpp
* Some exclusions in reference backend
* Excluded as requires float implementation in NumericCast.hpp
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I9e4e9cd502c865452128fa04415fd6f250baa855
Diffstat (limited to 'src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp')
| -rw-r--r-- | src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp | 10 |
1 files changed, 6 insertions, 4 deletions
diff --git a/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp b/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp index a714e031e4..1a7a8dca81 100644 --- a/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp +++ b/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp @@ -9,6 +9,8 @@ #include <backendsCommon/CpuTensorHandle.hpp> #include <aclCommon/ArmComputeTensorUtils.hpp> +#include <armnn/utility/NumericCast.hpp> + #include "ClWorkloadUtils.hpp" namespace armnn @@ -27,8 +29,8 @@ ClBatchToSpaceNdWorkload::ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDesc input.info()->set_data_layout(aclDataLayout); // ArmNN blockShape is [H, W] Cl asks for W, H - int32_t blockHeight = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[0]); - int32_t blockWidth = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[1]); + int32_t blockHeight = armnn::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[0]); + int32_t blockWidth = armnn::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[1]); arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); output.info()->set_data_layout(aclDataLayout); @@ -49,8 +51,8 @@ arm_compute::Status ClBatchToSpaceNdWorkloadValidate(const TensorInfo& input, const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout); // ArmNN blockShape is [H, W] Cl asks for W, H - int32_t blockHeight = boost::numeric_cast<int32_t>(desc.m_BlockShape[0]); - int32_t blockWidth = boost::numeric_cast<int32_t>(desc.m_BlockShape[1]); + int32_t blockHeight = armnn::numeric_cast<int32_t>(desc.m_BlockShape[0]); + int32_t blockWidth = armnn::numeric_cast<int32_t>(desc.m_BlockShape[1]); const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout); |