MLCE-84 Add Neon Pad support and unit tests

Change-Id: I0d949a9f23a61af5013efdd18572b29fae585f2a

1 files changed, 57 insertions, 0 deletions

diff --git a/src/backends/neon/workloads/NeonPadWorkload.cpp b/src/backends/neon/workloads/NeonPadWorkload.cpp
new file mode 100644
index 0000000000..60d6b8a537
--- /dev/null
+++ b/src/backends/neon/workloads/NeonPadWorkload.cpp
@@ -0,0 +1,57 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonPadWorkload.hpp"
+
+#include <neon/NeonTensorHandle.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+#include <arm_compute/core/Types.h>
+#include <arm_compute/runtime/NEON/functions/NEPadLayer.h>
+
+#include "NeonWorkloadUtils.hpp"
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+NeonPadWorkload::NeonPadWorkload(const PadQueueDescriptor& descriptor, const WorkloadInfo& info)
+    : BaseWorkload<PadQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonPadWorkload", 1, 1);
+
+    arm_compute::ITensor& input = static_cast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = static_cast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    std::vector<std::pair<unsigned int, unsigned int>> reversed_PadList(descriptor.m_Parameters.m_PadList.size());
+
+    std::reverse_copy(std::begin(descriptor.m_Parameters.m_PadList),
+                      std::end(descriptor.m_Parameters.m_PadList),
+                      std::begin(reversed_PadList));
+
+    arm_compute::PaddingList padList = static_cast<arm_compute::PaddingList>(reversed_PadList);
+
+    auto layer = std::make_unique<arm_compute::NEPadLayer>();
+    layer->configure(&input, &output, padList);
+    m_Layer.reset(layer.release());
+}
+
+void NeonPadWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonPadWorkload_Execute");
+    m_Layer->run();
+}
+
+arm_compute::Status NeonPadWorkloadValidate(const TensorInfo& input,
+                                            const TensorInfo& output,
+                                            const PadDescriptor& descriptor)
+{
+    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
+    arm_compute::PaddingList padList = static_cast<arm_compute::PaddingList>(descriptor.m_PadList);
+
+    return arm_compute::NEPadLayer::validate(&aclInputInfo, &aclOutputInfo, padList);
+}
+
+} // namespace armnn