IVGCVSW-2441 Add Minimum operator support (NEON)

Change-Id: I0bc48f118aba419abb659657b83224401fac0715

1 files changed, 45 insertions, 0 deletions

diff --git a/src/backends/neon/workloads/NeonMinimumWorkload.cpp b/src/backends/neon/workloads/NeonMinimumWorkload.cpp
new file mode 100644
index 0000000000..9b97bf5863
--- /dev/null
+++ b/src/backends/neon/workloads/NeonMinimumWorkload.cpp
@@ -0,0 +1,45 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonMinimumWorkload.hpp"
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+#include <backendsCommon/CpuTensorHandle.hpp>
+
+namespace armnn
+{
+
+arm_compute::Status NeonMinimumWorkloadValidate(const TensorInfo& input0,
+                                                const TensorInfo& input1,
+                                                const TensorInfo& output)
+{
+    const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
+    const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
+    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    return arm_compute::NEElementwiseMin::validate(&aclInput0,
+                                                   &aclInput1,
+                                                   &aclOutput);
+}
+
+NeonMinimumWorkload::NeonMinimumWorkload(const MinimumQueueDescriptor& descriptor,
+                                         const WorkloadInfo& info)
+    : BaseWorkload<MinimumQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonMinimumWorkload", 2, 1);
+
+    arm_compute::ITensor& input0 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& input1 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
+    arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    m_MinLayer.configure(&input0, &input1, &output);
+}
+
+void NeonMinimumWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMinimumWorkload_Execute");
+    m_MinLayer.run();
+}
+
+} //namespace armnn