1 files changed, 96 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClUnidirectionalSequenceLstmFloatWorkload.hpp b/src/backends/cl/workloads/ClUnidirectionalSequenceLstmFloatWorkload.hpp
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index 0000000000..f50e0a90b2
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+++ b/src/backends/cl/workloads/ClUnidirectionalSequenceLstmFloatWorkload.hpp
@@ -0,0 +1,96 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnn/Descriptors.hpp>
+#include <armnn/LstmParams.hpp>
+#include <armnn/backends/Workload.hpp>
+#include <armnn/backends/WorkloadData.hpp>
+
+#include <arm_compute/graph/Tensor.h>
+#include <arm_compute/runtime/CL/functions/CLLSTMLayer.h>
+#include <arm_compute/runtime/CL/functions/CLPermute.h>
+#include <arm_compute/runtime/CL/functions/CLSplit.h>
+#include <arm_compute/runtime/CL/functions/CLConcatenateLayer.h>
+
+namespace armnn
+{
+
+class ClUnidirectionalSequenceLstmFloatWorkload : public FloatWorkload<UnidirectionalSequenceLstmQueueDescriptor>
+{
+public:
+    ClUnidirectionalSequenceLstmFloatWorkload(const UnidirectionalSequenceLstmQueueDescriptor& descriptor,
+                                              const WorkloadInfo& info,
+                                              const arm_compute::CLCompileContext& clCompileContext);
+    virtual void Execute() const override;
+
+private:
+
+    //
+    // ACL layers required to fully form a Unidirectional Sequence LSTM layer.
+    //
+
+    // permutation for input (only used when input is batch major)
+    mutable std::unique_ptr<arm_compute::CLPermute> m_Permute1;
+    mutable std::unique_ptr<arm_compute::IFunction> m_Splitter;
+    mutable std::vector<std::unique_ptr<arm_compute::CLLSTMLayer>> m_Layers;
+    mutable std::unique_ptr<arm_compute::CLConcatenateLayer> m_Concat;
+    // permutation for output (only used when input is batch major)
+    mutable std::unique_ptr<arm_compute::CLPermute> m_Permute2;
+
+    //
+    // ACL LSTM arm_compute::CLTensors.
+    //
+    std::unique_ptr<arm_compute::CLTensor> m_InputToInputWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_InputToForgetWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_InputToCellWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_InputToOutputWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_RecurrentToInputWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_RecurrentToForgetWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_RecurrentToCellWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_RecurrentToOutputWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_CellToInputWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_CellToForgetWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_CellToOutputWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_InputGateBiasTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_ForgetGateBiasTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_CellBiasTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_OutputGateBiasTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_ProjectionWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_ProjectionBiasTensor;
+
+    std::unique_ptr<arm_compute::CLTensor> m_ScratchBuffer;
+
+    std::unique_ptr<arm_compute::CLTensor> m_InputLayerNormWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_ForgetLayerNormWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_CellLayerNormWeightsTensor;
+    std::unique_ptr<arm_compute::CLTensor> m_OutputLayerNormWeightsTensor;
+
+    //
+    // Additional ACL arm_compute::CLTensors and std::vector<arm_compute::CLTensor>.
+    // Required to perform splitting, concatenation and permutations.
+    //
+    arm_compute::CLTensor m_PermuteFirstOut;
+    std::vector<arm_compute::CLTensor> m_SplitterOutputsTensors;
+    std::vector<arm_compute::CLTensor> m_ConcatInputsTensors;
+    std::vector<arm_compute::ICLTensor*> m_SplitterOutputs;
+    std::vector<const arm_compute::ICLTensor*> m_ConcatInputs;
+    arm_compute::CLTensor concat_out;
+
+    void FreeUnusedTensors();
+};
+
+arm_compute::Status
+ClUnidirectionalSequenceLstmFloatWorkloadValidate(const TensorInfo& input,
+                                                  const TensorInfo& outputStateIn,
+                                                  const TensorInfo& cellStateIn,
+                                                  const TensorInfo& output,
+                                                  const Optional<TensorInfo>& hiddenStateOutput,
+                                                  const Optional<TensorInfo>& cellStateOutput,
+                                                  const UnidirectionalSequenceLstmDescriptor& descriptor,
+                                                  const LstmInputParamsInfo& paramsInfo);
+
+} //namespace armnn