1 files changed, 0 insertions, 96 deletions
diff --git a/src/backends/cl/workloads/ClUnidirectionalSequenceLstmFloatWorkload.hpp b/src/backends/cl/workloads/ClUnidirectionalSequenceLstmFloatWorkload.hpp
deleted file mode 100644
index f50e0a90b2..0000000000
--- a/src/backends/cl/workloads/ClUnidirectionalSequenceLstmFloatWorkload.hpp
+++ /dev/null
@@ -1,96 +0,0 @@
-//
-// 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