IVGCVSW-1784: Rename float32 workloads for ACL

Change-Id: I98bdfe9cb12c663d1d5cfa456e2cc967d70ab22b

1 files changed, 60 insertions, 0 deletions

diff --git a/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloatWorkload.cpp b/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloatWorkload.cpp
new file mode 100644
index 0000000000..ca38a24b09
--- /dev/null
+++ b/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloatWorkload.cpp
@@ -0,0 +1,60 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "NeonMultiplicationFloatWorkload.hpp"
+
+
+namespace armnn
+{
+
+arm_compute::Status NeonMultiplicationWorkloadValidate(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::NEPixelWiseMultiplication::validate(&aclInput1,
+                                                            &aclInput2,
+                                                            &aclOutput,
+                                                            1.0f,
+                                                            arm_compute::ConvertPolicy::SATURATE,
+                                                            arm_compute::RoundingPolicy::TO_ZERO);
+}
+
+NeonMultiplicationFloatWorkload::NeonMultiplicationFloatWorkload(const MultiplicationQueueDescriptor& descriptor,
+                                                                 const WorkloadInfo& info)
+    : FloatWorkload<MultiplicationQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonMultiplicationFloatWorkload", 2, 1);
+
+    arm_compute::ITensor& input1 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& input2 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
+    arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    // 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.
+    m_PixelWiseMultiplication.configure(&input1,
+                                        &input2,
+                                        &output,
+                                        1.0f,
+                                        arm_compute::ConvertPolicy::SATURATE,
+                                        arm_compute::RoundingPolicy::TO_ZERO);
+}
+
+void NeonMultiplicationFloatWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMultiplicationFloatWorkload_Execute");
+    m_PixelWiseMultiplication.run();
+}
+
+} //namespace armnn
+
+