IVGCVSW-3732 Add CL workload for DepthToSpace

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I577c45099eda1d04214e7a1f75fa10d1352efc80

1 files changed, 66 insertions, 0 deletions

diff --git a/src/backends/cl/workloads/ClDepthToSpaceWorkload.cpp b/src/backends/cl/workloads/ClDepthToSpaceWorkload.cpp
new file mode 100644
index 0000000000..800a98409e
--- /dev/null
+++ b/src/backends/cl/workloads/ClDepthToSpaceWorkload.cpp
@@ -0,0 +1,66 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClDepthToSpaceWorkload.hpp"
+
+#include "ClWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <cl/ClTensorHandle.hpp>
+
+#include <boost/numeric/conversion/cast.hpp>
+#include <boost/polymorphic_pointer_cast.hpp>
+
+namespace armnn
+{
+
+using namespace armcomputetensorutils;
+
+arm_compute::Status ClDepthToSpaceWorkloadValidate(const TensorInfo& input,
+                                                   const TensorInfo& output,
+                                                   const DepthToSpaceDescriptor& desc)
+{
+    DataLayout dataLayout = desc.m_DataLayout;
+    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
+
+    int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_BlockSize);
+
+    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
+
+    const arm_compute::Status aclStatus = arm_compute::CLDepthToSpaceLayer::validate(&aclInputInfo,
+                                                                                     &aclOutputInfo,
+                                                                                     blockSize);
+    return aclStatus;
+}
+
+ClDepthToSpaceWorkload::ClDepthToSpaceWorkload(const DepthToSpaceQueueDescriptor& desc,
+                                               const WorkloadInfo& info)
+    : BaseWorkload<DepthToSpaceQueueDescriptor>(desc, info)
+{
+    m_Data.ValidateInputsOutputs("ClDepthToSpaceWorkload", 1, 1);
+
+    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
+
+    arm_compute::ICLTensor& input =
+        boost::polymorphic_pointer_downcast<IClTensorHandle>(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::ICLTensor& output =
+        boost::polymorphic_pointer_downcast<IClTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
+    output.info()->set_data_layout(aclDataLayout);
+
+    m_Layer.configure(&input, &output, blockSize);
+}
+
+void ClDepthToSpaceWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClDepthToSpaceWorkload_Execute");
+    RunClFunction(m_Layer, CHECK_LOCATION());
+}
+
+} // namespace armnn