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, 56 insertions, 0 deletions

diff --git a/src/backends/cl/workloads/ClPermuteWorkload.cpp b/src/backends/cl/workloads/ClPermuteWorkload.cpp
new file mode 100644
index 0000000000..079772dbaf
--- /dev/null
+++ b/src/backends/cl/workloads/ClPermuteWorkload.cpp
@@ -0,0 +1,56 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClPermuteWorkload.hpp"
+#include <backends/cl/ClTensorHandle.hpp>
+#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <arm_compute/core/Error.h>
+
+#include "ClWorkloadUtils.hpp"
+
+namespace armnn
+{
+
+arm_compute::Status ClPermuteWorkloadValidate(const PermuteDescriptor& descriptor)
+{
+    const armnn::PermutationVector& perm = descriptor.m_DimMappings;
+
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(!perm.IsEqual({ 0U, 3U, 1U, 2U })
+                                    && !perm.IsEqual({ 0U, 2U, 3U, 1U })
+                                    && !perm.IsEqual({ 3U, 2U, 0U, 1U }),
+    "Only [0, 3, 1, 2], [0, 2, 3, 1] and [3, 2, 0, 1] permutations are supported");
+
+    return arm_compute::Status{};
+}
+
+template <armnn::DataType... DataTypes>
+ClPermuteWorkload<DataTypes...>::ClPermuteWorkload(const PermuteQueueDescriptor& descriptor,
+                                               const WorkloadInfo& info)
+    : TypedWorkload<PermuteQueueDescriptor, DataTypes...>(descriptor, info)
+{
+    using armcomputetensorutils::BuildArmComputePermutationVector;
+
+    m_Data.ValidateInputsOutputs(GetName(), 1, 1);
+
+    const arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(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 ClPermuteWorkload<DataTypes...>::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL( GetName() + "_Execute");
+    m_PermuteFunction.run();
+}
+
+template class ClPermuteWorkload<DataType::Float16, DataType::Float32>;
+template class ClPermuteWorkload<DataType::QuantisedAsymm8>;
+
+} // namespace armnn