IVGCVSW-1882: Added ClPadWorkload
* added ClPadWorkload class
* Updated ClWorkloadFactory
* added IsPadSupportedCl function
* Updated build files
Change-Id: Iadccc340a0eae1ff30fab6441854acac7f8edc92
diff --git a/src/backends/ClWorkloads/ClPadWorkload.cpp b/src/backends/ClWorkloads/ClPadWorkload.cpp
new file mode 100644
index 0000000..45a9d0d
--- /dev/null
+++ b/src/backends/ClWorkloads/ClPadWorkload.cpp
@@ -0,0 +1,62 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClPadWorkload.hpp"
+
+#include "backends/ClTensorHandle.hpp"
+#include "backends/aclCommon/ArmComputeTensorUtils.hpp"
+#include "ClWorkloadUtils.hpp"
+#include <arm_compute/core/Types.h>
+
+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>;