1 files changed, 54 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClPermuteWorkload.cpp b/src/armnn/backends/ClWorkloads/ClPermuteWorkload.cpp
new file mode 100644
index 0000000000..3147e95b2e
--- /dev/null
+++ b/src/armnn/backends/ClWorkloads/ClPermuteWorkload.cpp
@@ -0,0 +1,54 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "ClPermuteWorkload.hpp"
+#include "backends/ClTensorHandle.hpp"
+#include "backends/ArmComputeTensorUtils.hpp"
+
+#include <arm_compute/core/Error.h>
+
+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 DataType>
+ClPermuteWorkload<DataType>::ClPermuteWorkload(const PermuteQueueDescriptor& descriptor,
+                                               const WorkloadInfo& info)
+    : TypedWorkload<PermuteQueueDescriptor, DataType>(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 DataType>
+void ClPermuteWorkload<DataType>::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::GpuAcc, GetName() + "_Execute");
+    m_PermuteFunction.run();
+}
+
+template class ClPermuteWorkload<DataType::Float32>;
+template class ClPermuteWorkload<DataType::QuantisedAsymm8>;
+
+} // namespace armnn