IVGCVSW-1899 : Neon backend folder structure

armnn:149855

Change-Id: I26e8cf83422a65049386a5ebdb6d0001627aefaa

1 files changed, 54 insertions, 0 deletions

diff --git a/src/backends/neon/workloads/NeonPermuteWorkload.cpp b/src/backends/neon/workloads/NeonPermuteWorkload.cpp
new file mode 100644
index 0000000000..0bf4aa1319
--- /dev/null
+++ b/src/backends/neon/workloads/NeonPermuteWorkload.cpp
@@ -0,0 +1,54 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonPermuteWorkload.hpp"
+#include <backends/neon/NeonTensorHandle.hpp>
+#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <arm_compute/core/Error.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonPermuteWorkloadValidate(const TensorInfo& input,
+                                                const TensorInfo& output,
+                                                const PermuteDescriptor& descriptor)
+{
+    const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+    const armnn::PermutationVector& mappings = descriptor.m_DimMappings;
+
+    return arm_compute::NEPermute::validate(&aclInputInfo, &aclOutputInfo,
+                                      armcomputetensorutils::BuildArmComputePermutationVector(mappings));
+}
+
+template <armnn::DataType... DataTypes>
+NeonPermuteWorkload<DataTypes...>::NeonPermuteWorkload(const PermuteQueueDescriptor& descriptor,
+                                               const WorkloadInfo& info)
+        : TypedWorkload<PermuteQueueDescriptor, DataTypes...>(descriptor, info)
+{
+    using armcomputetensorutils::BuildArmComputePermutationVector;
+
+    m_Data.ValidateInputsOutputs(GetName(), 1, 1);
+
+    const arm_compute::ITensor& input = static_cast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = static_cast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+    const armnn::PermutationVector& mappings = m_Data.m_Parameters.m_DimMappings;
+
+    // Run the layer.
+    m_PermuteFunction.configure(&input, &output, BuildArmComputePermutationVector(mappings));
+}
+
+template <armnn::DataType... DataTypes>
+void NeonPermuteWorkload<DataTypes...>::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON(GetName() + "_Execute");
+    m_PermuteFunction.run();
+}
+
+template class NeonPermuteWorkload<DataType::Float16, DataType::Float32>;
+template class NeonPermuteWorkload<DataType::QuantisedAsymm8>;
+
+} // namespace armnn