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, 48 insertions, 0 deletions

diff --git a/src/backends/cl/workloads/ClDivisionFloatWorkload.cpp b/src/backends/cl/workloads/ClDivisionFloatWorkload.cpp
new file mode 100644
index 0000000000..a2d8534682
--- /dev/null
+++ b/src/backends/cl/workloads/ClDivisionFloatWorkload.cpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClDivisionFloatWorkload.hpp"
+#include <backends/cl/ClTensorHandle.hpp>
+#include <backends/CpuTensorHandle.hpp>
+
+#include "ClWorkloadUtils.hpp"
+
+namespace armnn
+{
+
+arm_compute::Status ClDivisionWorkloadValidate(const TensorInfo& input0,
+                                               const TensorInfo& input1,
+                                               const TensorInfo& output)
+{
+    const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
+    const arm_compute::TensorInfo aclInput2 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
+    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    return arm_compute::CLArithmeticDivision::validate(&aclInput1, &aclInput2, &aclOutput);
+}
+
+
+ClDivisionFloatWorkload::ClDivisionFloatWorkload(const DivisionQueueDescriptor& descriptor,
+                                                     const WorkloadInfo& info)
+    : FloatWorkload<DivisionQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("ClDivisionFloatWorkload", 2, 1);
+
+    arm_compute::ICLTensor& input0 = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& input1 = static_cast<IClTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+    // Construct
+    m_ArithmeticDivision.configure(&input0, &input1, &output);
+}
+
+void ClDivisionFloatWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClDivisionFloatWorkload_Execute");
+
+    // Executes the layer.
+    m_ArithmeticDivision.run();
+}
+
+} //namespace armnn