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Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonActivationUint8Workload.cpp')
-rw-r--r--src/armnn/backends/NeonWorkloads/NeonActivationUint8Workload.cpp42
1 files changed, 42 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonActivationUint8Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonActivationUint8Workload.cpp
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index 0000000000..27c37e9425
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+++ b/src/armnn/backends/NeonWorkloads/NeonActivationUint8Workload.cpp
@@ -0,0 +1,42 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "NeonActivationUint8Workload.hpp"
+#include "backends/ArmComputeUtils.hpp"
+#include "backends/NeonLayerSupport.hpp"
+
+namespace armnn
+{
+NeonActivationUint8Workload::NeonActivationUint8Workload(const ActivationQueueDescriptor& descriptor,
+ const WorkloadInfo& info)
+ : Uint8Workload<ActivationQueueDescriptor>(descriptor, info)
+{
+
+ std::string reasonIfUnsupported;
+ if (!IsNeonActivationUint8Supported(&reasonIfUnsupported, m_Data.m_Parameters))
+ {
+ throw InvalidArgumentException(reasonIfUnsupported);
+ }
+
+ // Only BoundedReLu is supported (see IsNeonActivationUint8Supported)
+ arm_compute::ActivationLayerInfo layerInfo(arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
+ m_Data.m_Parameters.m_A,
+ m_Data.m_Parameters.m_B);
+
+ m_Data.ValidateInputsOutputs("NeonActivationUint8Workload", 1, 1);
+
+ arm_compute::ITensor& input = static_cast<NeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+ arm_compute::ITensor& output = static_cast<NeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+ m_ActivationLayer.configure(&input, &output, layerInfo);
+}
+
+void NeonActivationUint8Workload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonActivationUint8Workload_Execute");
+
+ m_ActivationLayer.run();
+}
+} //namespace armnn