aboutsummaryrefslogtreecommitdiff
path: root/src/dynamic/sample/SampleDynamicAdditionWorkload.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/dynamic/sample/SampleDynamicAdditionWorkload.cpp')
-rw-r--r--src/dynamic/sample/SampleDynamicAdditionWorkload.cpp54
1 files changed, 54 insertions, 0 deletions
diff --git a/src/dynamic/sample/SampleDynamicAdditionWorkload.cpp b/src/dynamic/sample/SampleDynamicAdditionWorkload.cpp
new file mode 100644
index 0000000000..0fa57a7e07
--- /dev/null
+++ b/src/dynamic/sample/SampleDynamicAdditionWorkload.cpp
@@ -0,0 +1,54 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <armnn/backends/ITensorHandle.hpp>
+
+#include "SampleDynamicAdditionWorkload.hpp"
+#include "SampleTensorHandle.hpp"
+
+namespace armnn
+{
+
+inline const TensorInfo& GetTensorInfo(const ITensorHandle* tensorHandle)
+{
+ // We know that reference workloads use RefTensorHandles for inputs and outputs
+ const SampleTensorHandle* sampleTensorHandle =
+ static_cast<const SampleTensorHandle*>(tensorHandle);
+ return sampleTensorHandle->GetTensorInfo();
+}
+
+const float* GetInputTensorData(unsigned int idx, const AdditionQueueDescriptor& data)
+{
+ const ITensorHandle* tensorHandle = data.m_Inputs[idx];
+ return reinterpret_cast<const float*>(tensorHandle->Map());
+}
+
+float* GetOutputTensorData(unsigned int idx, const AdditionQueueDescriptor& data)
+{
+ ITensorHandle* tensorHandle = data.m_Outputs[idx];
+ return reinterpret_cast<float*>(tensorHandle->Map());
+}
+
+SampleDynamicAdditionWorkload::SampleDynamicAdditionWorkload(const AdditionQueueDescriptor& descriptor,
+ const WorkloadInfo& info)
+ : BaseWorkload(descriptor, info)
+{}
+
+void SampleDynamicAdditionWorkload::Execute() const
+{
+ const TensorInfo& info = GetTensorInfo(m_Data.m_Inputs[0]);
+ unsigned int num = info.GetNumElements();
+
+ const float* inputData0 = GetInputTensorData(0, m_Data);
+ const float* inputData1 = GetInputTensorData(1, m_Data);
+ float* outputData = GetOutputTensorData(0, m_Data);
+
+ for (unsigned int i = 0; i < num; ++i)
+ {
+ outputData[i] = inputData0[i] + inputData1[i];
+ }
+}
+
+} // namespace armnn