IVGCVSW-3734 Add NEON workload for DepthToSpace

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I4fa8cba57f3a2277112c02062f4d2790089d1eb5

1 files changed, 61 insertions, 0 deletions

diff --git a/src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp b/src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp
new file mode 100644
index 0000000000..b30dfcd80e
--- /dev/null
+++ b/src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp
@@ -0,0 +1,61 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonDepthToSpaceWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <boost/numeric/conversion/cast.hpp>
+#include <boost/polymorphic_pointer_cast.hpp>
+
+namespace armnn
+{
+
+using namespace armcomputetensorutils;
+
+arm_compute::Status NeonDepthToSpaceWorkloadValidate(const TensorInfo& input,
+                                                     const TensorInfo& output,
+                                                     const DepthToSpaceDescriptor& descriptor)
+{
+    DataLayout dataLayout = descriptor.m_DataLayout;
+    const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, dataLayout);
+    const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, dataLayout);
+
+    int32_t blockSize = boost::numeric_cast<int32_t>(descriptor.m_BlockSize);
+
+    return arm_compute::NEDepthToSpaceLayer::validate(&aclInput, &aclOutput, blockSize);
+}
+
+NeonDepthToSpaceWorkload::NeonDepthToSpaceWorkload(const DepthToSpaceQueueDescriptor& desc,
+                                                   const WorkloadInfo& info)
+    : BaseWorkload<DepthToSpaceQueueDescriptor>(desc, info)
+{
+    m_Data.ValidateInputsOutputs("NeonDepthToSpaceWorkload", 1, 1);
+
+    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
+
+    arm_compute::ITensor& input =
+        boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
+    input.info()->set_data_layout(aclDataLayout);
+
+    int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize);
+
+    arm_compute::ITensor& output =
+        boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
+    output.info()->set_data_layout(aclDataLayout);
+
+    m_Layer.configure(&input, &output, blockSize);
+    m_Layer.prepare();
+}
+
+void NeonDepthToSpaceWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonDepthToSpaceWorkload_Execute");
+    m_Layer.run();
+}
+
+} // namespace armnn