1 files changed, 0 insertions, 74 deletions
diff --git a/libs/ARMComputeEx/src/runtime/NEON/functions/NENormalizationLayerEx.cpp b/libs/ARMComputeEx/src/runtime/NEON/functions/NENormalizationLayerEx.cpp
deleted file mode 100644
index 988e92715..000000000
--- a/libs/ARMComputeEx/src/runtime/NEON/functions/NENormalizationLayerEx.cpp
+++ /dev/null
@@ -1,74 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- * Copyright (c) 2016-2018 ARM Limited.
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#include "arm_compute/runtime/NEON/functions/NENormalizationLayerEx.h"
-#include "arm_compute/runtime/NEON/NEScheduler.h"
-
-using namespace arm_compute;
-
-NENormalizationLayerEx::NENormalizationLayerEx(std::shared_ptr<IMemoryManager> memory_manager)
-    : _memory_group(std::move(memory_manager)), _norm_kernel(), _multiply_kernel(),
-      _border_handler(), _input_squared()
-{
-}
-
-void NENormalizationLayerEx::configure(const ITensor *input, ITensor *output,
-                                       const NormalizationLayerInfo &norm_info)
-{
-  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
-
-  TensorInfo tensor_info(input->info()->tensor_shape(), 1, input->info()->data_type(),
-                         input->info()->quantization_info());
-  _input_squared.allocator()->init(tensor_info);
-
-  // Manage intermediate buffers
-  _memory_group.manage(&_input_squared);
-
-  // Configure kernels
-  _norm_kernel.configure(input, &_input_squared, output, norm_info);
-  _multiply_kernel.configure(input, input, &_input_squared, 1.0f, ConvertPolicy::SATURATE,
-                             RoundingPolicy::TO_ZERO);
-  _border_handler.configure(&_input_squared, _norm_kernel.border_size(), BorderMode::CONSTANT,
-                            PixelValue(0.0f));
-
-  // Allocate the tensor once the configure methods have been called
-  _input_squared.allocator()->allocate();
-}
-
-Status NENormalizationLayerEx::validate(const ITensorInfo *input, const ITensorInfo *output,
-                                        const NormalizationLayerInfo &norm_info)
-{
-  // Perform validation step
-  ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
-
-  ARM_COMPUTE_RETURN_ON_ERROR(
-      NENormalizationLayerExKernel::validate(input, input, output, norm_info));
-  ARM_COMPUTE_RETURN_ON_ERROR(NEPixelWiseMultiplicationKernel::validate(
-      input, input, output, 1.0f, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO));
-
-  return Status{};
-}
-
-void NENormalizationLayerEx::run()
-{
-  _memory_group.acquire();
-
-  NEScheduler::get().schedule(&_multiply_kernel, Window::DimY);
-  NEScheduler::get().schedule(&_border_handler, Window::DimY);
-  NEScheduler::get().schedule(&_norm_kernel, Window::DimY);
-
-  _memory_group.release();
-}