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
diff --git a/src/backends/cl/workloads/ClMultiplicationFloatWorkload.cpp b/src/backends/cl/workloads/ClMultiplicationFloatWorkload.cpp
new file mode 100644
index 0000000..d53e149
--- /dev/null
+++ b/src/backends/cl/workloads/ClMultiplicationFloatWorkload.cpp
@@ -0,0 +1,60 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClMultiplicationFloatWorkload.hpp"
+#include <backends/cl/ClTensorHandle.hpp>
+#include <backends/CpuTensorHandle.hpp>
+#include "ClWorkloadUtils.hpp"
+
+namespace armnn
+{
+
+arm_compute::Status ClMultiplicationWorkloadValidate(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);
+
+ // At the time of writing, configure() will fail if a rounding policy other than TO_ZERO is supplied to it,
+ // when providing a scale of 1.0 for F32 tensors, even though the provided rounding policy appears to be
+ // ignored for F32 tensors.
+ return arm_compute::CLPixelWiseMultiplication::validate(&aclInput1,
+ &aclInput2,
+ &aclOutput,
+ 1.0f,
+ arm_compute::ConvertPolicy::SATURATE,
+ arm_compute::RoundingPolicy::TO_ZERO);
+}
+
+
+ClMultiplicationFloatWorkload::ClMultiplicationFloatWorkload(const MultiplicationQueueDescriptor& descriptor,
+ const WorkloadInfo& info)
+ : FloatWorkload<MultiplicationQueueDescriptor>(descriptor, info)
+{
+ m_Data.ValidateInputsOutputs("ClMultiplicationFloatWorkload", 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_PixelWiseMultiplication.configure(&input0,
+ &input1,
+ &output,
+ 1.0f,
+ arm_compute::ConvertPolicy::SATURATE,
+ arm_compute::RoundingPolicy::TO_NEAREST_EVEN);
+}
+
+void ClMultiplicationFloatWorkload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT_CL("ClMultiplicationFloatWorkload_Execute");
+
+ // Executes the layer.
+ m_PixelWiseMultiplication.run();
+}
+
+} //namespace armnn