1 files changed, 0 insertions, 88 deletions
diff --git a/src/backends/reference/workloads/LstmUtils.hpp b/src/backends/reference/workloads/LstmUtils.hpp
deleted file mode 100644
index f6aff8b69f..0000000000
--- a/src/backends/reference/workloads/LstmUtils.hpp
+++ /dev/null
@@ -1,88 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include "BaseIterator.hpp"
-#include <backendsCommon/CpuTensorHandle.hpp>
-
-// Helper functions ported from the Android code base
-// Refer to: android/external/tensorflow/tensorflow/contrib/lite/kernels/internal/reference/portable_tensor_utils.cc
-
-
-void VectorBatchVectorAdd(armnn::Decoder<float>& vector,
-                          uint32_t vSize,
-                          armnn::Decoder<float>& batchVector,
-                          uint32_t nBatch,
-                          armnn::Encoder<float>& outResult );
-
-// Layer norm for each batch.
-// normalization_epsilon is added to avoid divergence.
-void MeanStddevNormalization(armnn::Decoder<float>& input_vector,
-                             armnn::Encoder<float>& output_vector,
-                             uint32_t v_size,
-                             uint32_t n_batch,
-                             float normalization_epsilon);
-
-void ZeroVector(armnn::Encoder<float>& vector,
-                uint32_t vSize);
-
-void MatrixBatchVectorMultiplyAccumulate(armnn::Decoder<float>& matrix,
-                                         uint32_t mRows,
-                                         uint32_t mCols,
-                                         armnn::Decoder<float>& vector,
-                                         uint32_t nBatch,
-                                         armnn::Encoder<float>& outResult);
-
-void VectorBatchVectorAssign(armnn::Decoder<float>& vector,
-                             uint32_t vSize,
-                             uint32_t nBatch,
-                             armnn::Encoder<float>& outBatchVector);
-
-void VectorBatchVectorCwiseProductAccumulate(armnn::Decoder<float>& vector,
-                                             uint32_t vSize,
-                                             armnn::Decoder<float>& batchVector,
-                                             uint32_t nBatch,
-                                             armnn::Encoder<float>& outResult);
-
-void VectorBatchVectorCwiseProduct(armnn::Decoder<float>& vector,
-                                   uint32_t vSize,
-                                   armnn::Decoder<float>& batchVector,
-                                   uint32_t nBatch,
-                                   armnn::Encoder<float>& outResult);
-
-void Sub1Vector(armnn::Decoder<float>& vector,
-                uint32_t vSize,
-                armnn::Encoder<float>& result);
-
-
-void VectorVectorCwiseProduct(armnn::Decoder<float>& vector1,
-                              armnn::Decoder<float>& vector2,
-                              uint32_t vSize,
-                              armnn::Encoder<float>& outResult);
-
-void VectorVectorCwiseProductAccumulate(armnn::Decoder<float>& vector1,
-                                        armnn::Decoder<float>& vector2,
-                                        uint32_t vSize,
-                                        armnn::Encoder<float>& outResult);
-
-float Clip(float f,
-           float absLimit);
-
-void ClipVector(armnn::Decoder<float>& vector,
-                uint32_t vSize,
-                float absLimit,
-                armnn::Encoder<float>& outResult);
-
-void CopyVector(armnn::Decoder<float>& vector,
-                uint32_t vSize,
-                armnn::Encoder<float>& outResult);
-
-void SetActivationParameters(uint32_t activation,
-                             armnn::ActivationFunction& outArmnnActivation,
-                             float& outA,
-                             float& outB);
-
-std::unique_ptr<armnn::ScopedCpuTensorHandle> AssignScopedCpuTensorHandle(const armnn::ConstCpuTensorHandle* ptr);