IVGCVSW-3695 Add CL ArgMinMax workload

 * Also enabled copy to/from CL for Signed32.

Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I0113182891f9767de73f04dcd81252c84c996eda

1 files changed, 82 insertions, 0 deletions

diff --git a/src/backends/cl/workloads/ClArgMinMaxWorkload.cpp b/src/backends/cl/workloads/ClArgMinMaxWorkload.cpp
new file mode 100644
index 0000000000..3270b0a2f3
--- /dev/null
+++ b/src/backends/cl/workloads/ClArgMinMaxWorkload.cpp
@@ -0,0 +1,82 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClArgMinMaxWorkload.hpp"
+#include "ClWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <backendsCommon/CpuTensorHandle.hpp>
+
+#include <TensorUtils.hpp>
+
+#include <cl/ClTensorHandle.hpp>
+#include <cl/ClLayerSupport.hpp>
+
+namespace
+{
+unsigned int CalcAclAxis(unsigned int numDimensions, unsigned int axisIndex)
+{
+    return (numDimensions - axisIndex) - 1;
+}
+
+} //namespace
+
+namespace armnn
+{
+
+arm_compute::Status ClArgMinMaxWorkloadValidate(const TensorInfo& input,
+                                                const TensorInfo& output,
+                                                const ArgMinMaxDescriptor& descriptor)
+{
+    const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    auto numDims = input.GetNumDimensions();
+    auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, descriptor.m_Axis);
+    int aclAxis = boost::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
+
+    if (descriptor.m_Function == ArgMinMaxFunction::Max)
+    {
+        return arm_compute::CLArgMinMaxLayer::validate(&aclInput, aclAxis, &aclOutput,
+                                                       arm_compute::ReductionOperation::ARG_IDX_MAX);
+    }
+    else
+    {
+        return arm_compute::CLArgMinMaxLayer::validate(&aclInput, aclAxis, &aclOutput,
+                                                       arm_compute::ReductionOperation::ARG_IDX_MIN);
+    }
+}
+
+
+ClArgMinMaxWorkload::ClArgMinMaxWorkload(const ArgMinMaxQueueDescriptor& descriptor,
+                                         const WorkloadInfo& info)
+        : BaseWorkload<ArgMinMaxQueueDescriptor>(descriptor, info)
+{
+    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();
+
+    auto numDims = info.m_InputTensorInfos[0].GetNumDimensions();
+    auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, m_Data.m_Parameters.m_Axis);
+    int aclAxis = boost::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
+
+    if (m_Data.m_Parameters.m_Function == ArgMinMaxFunction::Max)
+    {
+        m_ArgMinMaxLayer.configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MAX);
+    }
+    else
+    {
+        m_ArgMinMaxLayer.configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MIN);
+    }
+}
+
+void ClArgMinMaxWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClArgMinMaxWorkload_Execute");
+    RunClFunction(m_ArgMinMaxLayer, CHECK_LOCATION());
+}
+
+} //namespace armnn
+