1 files changed, 57 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonSliceWorkload.cpp b/src/backends/neon/workloads/NeonSliceWorkload.cpp
new file mode 100644
index 0000000000..171edc6c59
--- /dev/null
+++ b/src/backends/neon/workloads/NeonSliceWorkload.cpp
@@ -0,0 +1,57 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonSliceWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <neon/NeonTensorHandle.hpp>
+
+#include <arm_compute/core/Error.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonSliceWorkloadValidate(const TensorInfo& input,
+                                              const TensorInfo& output,
+                                              const SliceDescriptor& descriptor)
+{
+    const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    arm_compute::Coordinates starts;
+    arm_compute::Coordinates ends;
+
+    std::tie(starts, ends) = SetNeonSliceData(descriptor.m_Begin, descriptor.m_Size);
+
+    return arm_compute::NESlice::validate(&aclInputInfo, &aclOutputInfo, starts, ends);
+}
+
+NeonSliceWorkload::NeonSliceWorkload(const SliceQueueDescriptor& descriptor,
+                                     const WorkloadInfo& info)
+        : BaseWorkload<SliceQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonSliceWorkload", 1, 1);
+
+    arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    arm_compute::Coordinates starts;
+    arm_compute::Coordinates ends;
+
+    std::tie(starts, ends) = SetNeonSliceData(m_Data.m_Parameters.m_Begin, m_Data.m_Parameters.m_Size);
+
+    m_SliceFunction.configure(&input, &output, starts, ends);
+}
+
+void NeonSliceWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSliceWorkload_Execute");
+    m_SliceFunction.run();
+}
+
+} // namespace armnn