diff options
author | telsoa01 <telmo.soares@arm.com> | 2018-03-09 14:13:49 +0000 |
---|---|---|
committer | telsoa01 <telmo.soares@arm.com> | 2018-03-09 14:13:49 +0000 |
commit | 4fcda0101ec3d110c1d6d7bee5c83416b645528a (patch) | |
tree | c9a70aeb2887006160c1b3d265c27efadb7bdbae /src/armnn/backends/NeonWorkloadUtils.cpp | |
download | armnn-4fcda0101ec3d110c1d6d7bee5c83416b645528a.tar.gz |
Release 18.02
Change-Id: Id3c11dc5ee94ef664374a988fcc6901e9a232fa6
Diffstat (limited to 'src/armnn/backends/NeonWorkloadUtils.cpp')
-rw-r--r-- | src/armnn/backends/NeonWorkloadUtils.cpp | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloadUtils.cpp b/src/armnn/backends/NeonWorkloadUtils.cpp new file mode 100644 index 0000000000..0a108a8d38 --- /dev/null +++ b/src/armnn/backends/NeonWorkloadUtils.cpp @@ -0,0 +1,43 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// +#include "NeonWorkloadUtils.hpp" +#include "backends/ArmComputeTensorUtils.hpp" +#include "backends/ArmComputeUtils.hpp" +#include "backends/CpuTensorHandle.hpp" +#include "backends/NeonTensorHandle.hpp" + +#include "armnn/Utils.hpp" +#include "armnn/Exceptions.hpp" + +#include "Layers.hpp" + +#include <cstring> +#include <boost/assert.hpp> +#include <boost/cast.hpp> +#include <boost/format.hpp> + +#include "Profiling.hpp" + +#include "NeonLayerSupport.hpp" +#include "../../../include/armnn/Types.hpp" + +using namespace armnn::armcomputetensorutils; + +namespace armnn +{ + +// Allocate a tensor and copy the contents in data to the tensor contents +template<typename T> +void InitialiseArmComputeTensorData(arm_compute::Tensor& tensor, const T* data) +{ + InitialiseArmComputeTensorEmpty(tensor); + CopyArmComputeITensorData(data, tensor); +} + +template void InitialiseArmComputeTensorData(arm_compute::Tensor& tensor, const float* data); +template void InitialiseArmComputeTensorData(arm_compute::Tensor& tensor, const uint8_t* data); +template void InitialiseArmComputeTensorData(arm_compute::Tensor& tensor, const int32_t* data); + +} //namespace armnn |