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