IVGCVSW-1900 : CL backend folder structure

* moving backends/ClWorkloads to backends/cl
* and moving pure Cl workload related code to
  backends/cl/workloads

Change-Id: I019a3c6b4da5e7a23074bf03fb057e63199ad129

1 files changed, 63 insertions, 0 deletions

diff --git a/src/backends/cl/workloads/ClPadWorkload.cpp b/src/backends/cl/workloads/ClPadWorkload.cpp
new file mode 100644
index 0000000000..45dc5e8be7
--- /dev/null
+++ b/src/backends/cl/workloads/ClPadWorkload.cpp
@@ -0,0 +1,63 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClPadWorkload.hpp"
+
+#include <backends/cl/ClTensorHandle.hpp>
+#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
+#include <arm_compute/core/Types.h>
+
+#include "ClWorkloadUtils.hpp"
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+template <armnn::DataType... T>
+ClPadWorkload<T...>::ClPadWorkload(const PadQueueDescriptor& descriptor, const WorkloadInfo& info)
+: TypedWorkload<PadQueueDescriptor, T...>(descriptor, info)
+{
+    this->m_Data.ValidateInputsOutputs("ClPadWorkload", 1, 1);
+
+    arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor();
+    arm_compute::PaddingList padList = static_cast<arm_compute::PaddingList>(descriptor.m_Parameters.m_PadList);
+
+    m_Layer.configure(&input, &output, padList);
+}
+
+template <armnn::DataType... T>
+void ClPadWorkload<T...>::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClPadWorkload_Execute");
+    m_Layer.run();
+}
+
+bool ClPadValidate(const TensorInfo& input,
+                   const TensorInfo& output,
+                   const PadDescriptor& descriptor,
+                   std::string* reasonIfUnsupported)
+{
+    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);
+
+    const arm_compute::Status aclStatus = arm_compute::CLPadLayer::validate(&aclInputInfo,
+                                                                            &aclOutputInfo,
+                                                                            padList);
+
+    const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK);
+    if (!supported && reasonIfUnsupported)
+    {
+        *reasonIfUnsupported = aclStatus.error_description();
+    }
+
+    return supported;
+}
+
+} // namespace armnn
+
+template class armnn::ClPadWorkload<armnn::DataType::Float16, armnn::DataType::Float32>;
+template class armnn::ClPadWorkload<armnn::DataType::QuantisedAsymm8>;