1 files changed, 0 insertions, 166 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/kernels/CLNormalizationLayerExKernel.cpp b/libs/ARMComputeEx/src/core/CL/kernels/CLNormalizationLayerExKernel.cpp
deleted file mode 100644
index 12bbe910f..000000000
--- a/libs/ARMComputeEx/src/core/CL/kernels/CLNormalizationLayerExKernel.cpp
+++ /dev/null
@@ -1,166 +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/core/CL/kernels/CLNormalizationLayerExKernel.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/CL/ICLTensor.h"
-
-using namespace arm_compute;
-
-namespace
-{
-Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
-                          NormalizationLayerInfo norm_info)
-{
-  ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
-  ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
-
-  // Checks performed when output is configured
-  if (output->total_size() != 0)
-  {
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
-  }
-
-  return Status{};
-}
-
-std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output,
-                                                        NormalizationLayerInfo norm_info)
-{
-  // Output tensor auto initialization if not yet initialized
-  auto_init_if_empty(*output, *input->clone());
-
-  const unsigned int norm_size = norm_info.norm_size();
-  bool is_in_map = norm_info.is_in_map();
-
-  const unsigned int border_width = is_in_map ? std::min(norm_size / 2, 3U) : 0;
-  const BorderSize border_size = BorderSize(0, border_width);
-
-  const unsigned int num_elems_processed_per_iteration = 4;
-  const unsigned int num_elems_read_per_iteration =
-      is_in_map ? (num_elems_processed_per_iteration + 2 * (norm_size / 2))
-                : num_elems_processed_per_iteration;
-
-  Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
-
-  // We do not use a Rectangle window for IN_MAP_2D as we clamp the top and bottom accesses inside
-  // the kernel, avoiding padding
-  AccessWindowHorizontal input_access(input, -border_size.left, num_elems_read_per_iteration);
-  AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
-
-  bool window_changed = update_window_and_padding(win, input_access, output_access);
-
-  output_access.set_valid_region(win, input->valid_region());
-
-  Status err = (window_changed)
-                   ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!")
-                   : Status{};
-  return std::make_pair(err, win);
-}
-} // namespace
-
-CLNormalizationLayerExKernel::CLNormalizationLayerExKernel()
-    : _input(nullptr), _output(nullptr), _border_size(0), _is_in_map(false)
-{
-}
-
-BorderSize CLNormalizationLayerExKernel::border_size() const { return _border_size; }
-
-void CLNormalizationLayerExKernel::configure(const ICLTensor *input, ICLTensor *output,
-                                             NormalizationLayerInfo norm_info)
-{
-  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
-
-  // Output tensor auto initialization if not yet initialized
-  auto_init_if_empty(*output->info(), *input->info()->clone());
-
-  // Perform validation step
-  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), norm_info));
-
-  _input = input;
-  _output = output;
-
-  const unsigned int num_elems_processed_per_iteration = 4;
-  const bool is_in_map_2D = (norm_info.type() == NormType::IN_MAP_2D);
-
-  // Set build options
-  CLBuildOptions build_opts;
-  build_opts.add_option(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())));
-  build_opts.add_option(
-      ("-DCOEFF=" + float_to_string_with_full_precision(norm_info.scale_coeff())));
-  build_opts.add_option(("-DBETA=" + float_to_string_with_full_precision(norm_info.beta())));
-  build_opts.add_option(("-DKAPPA=" + float_to_string_with_full_precision(norm_info.kappa())));
-  build_opts.add_option(
-      ("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)));
-  build_opts.add_option(("-DRADIUS=" + support::cpp11::to_string(norm_info.norm_size())));
-  build_opts.add_option(("-DNUM_SLICES=" + support::cpp11::to_string(input->info()->dimension(2))));
-  build_opts.add_option_if(is_in_map_2D, "-DIN_MAP_2D");
-
-  // Create kernel
-  std::string kernel_name =
-      _is_in_map ? "normalization_layer_in_map" : "normalization_layer_cross_map";
-  _kernel = static_cast<cl::Kernel>(
-      CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options()));
-
-  // Configure kernel window
-  auto win_config = validate_and_configure_window(input->info(), output->info(), norm_info);
-  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
-  ICLKernel::configure_internal(win_config.second);
-
-  // Set config_id for enabling LWS tuning
-  _config_id = "normalization_layer_";
-  _config_id += lower_string(string_from_data_type(input->info()->data_type()));
-  _config_id += "_";
-  _config_id += support::cpp11::to_string(
-      static_cast<std::underlying_type<NormType>::type>(norm_info.type()));
-  _config_id += "_";
-  _config_id += support::cpp11::to_string(norm_info.norm_size());
-  _config_id += "_";
-  _config_id += support::cpp11::to_string(input->info()->dimension(0));
-  _config_id += "_";
-  _config_id += support::cpp11::to_string(input->info()->dimension(1));
-}
-
-Status CLNormalizationLayerExKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
-                                              NormalizationLayerInfo norm_info)
-{
-  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, norm_info));
-  ARM_COMPUTE_RETURN_ON_ERROR(
-      validate_and_configure_window(input->clone().get(), output->clone().get(), norm_info).first);
-
-  return Status{};
-}
-
-void CLNormalizationLayerExKernel::run(const Window &window, cl::CommandQueue &queue)
-{
-  ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
-  ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
-
-  const int collapsed_dimension = _is_in_map ? Window::DimZ : 4;
-  Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), collapsed_dimension);
-  Window slice = window_collapsed.first_slice_window_3D();
-
-  do
-  {
-    unsigned int idx = 0;
-    add_3D_tensor_argument(idx, _input, slice);
-    add_3D_tensor_argument(idx, _output, slice);
-    enqueue(queue, *this, slice);
-  } while (window_collapsed.slide_window_slice_3D(slice));
-}