1 files changed, 0 insertions, 110 deletions
diff --git a/runtimes/pure_arm_compute/src/internal/layers/SimpleSpaceToDepth.cc b/runtimes/pure_arm_compute/src/internal/layers/SimpleSpaceToDepth.cc
deleted file mode 100644
index 3519da1f3..000000000
--- a/runtimes/pure_arm_compute/src/internal/layers/SimpleSpaceToDepth.cc
+++ /dev/null
@@ -1,110 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- *
- * 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 "internal/layers/SimpleSpaceToDepth.h"
-
-#include <arm_compute/runtime/CL/CLScheduler.h>
-
-void SimpleSpaceToDepth::configure(::arm_compute::ITensor *input, ::arm_compute::ITensor *output,
-                                   int32_t block_size, const ::arm_compute::Coordinates &axises)
-{
-  const auto rank = axises.num_dimensions();
-  assert(rank == 4);
-  for (int i = 0; i < rank; ++i)
-  {
-    assert(axises[i] >= 0);
-    assert(axises[i] < rank);
-  }
-
-  _input = input;
-  _output = output;
-  _block_size = block_size;
-  _axises = axises;
-}
-
-template <typename T>
-inline void SpaceToDepth(const ::arm_compute::ITensor *input,
-                         const ::arm_compute::TensorShape &input_shape, int32_t block_size,
-                         ::arm_compute::ITensor *output,
-                         const ::arm_compute::TensorShape &output_shape,
-                         const ::arm_compute::Coordinates &axises)
-{
-  const int input_batch = input_shape[axises[0]];
-  const int input_height = input_shape[axises[1]];
-  const int input_width = input_shape[axises[2]];
-  const int input_depth = input_shape[axises[3]];
-
-  for (int in_b = 0; in_b < input_batch; ++in_b)
-  {
-    for (int in_h = 0; in_h < input_height; ++in_h)
-    {
-      for (int in_w = 0; in_w < input_width; ++in_w)
-      {
-        for (int in_d = 0; in_d < input_depth; ++in_d)
-        {
-          const int out_b = in_b;
-          const int out_h = in_h / block_size;
-          const int out_w = in_w / block_size;
-          const int out_d =
-              in_d + ((in_h % block_size) * block_size + in_w % block_size) * input_depth;
-
-          auto input_id =
-              asARMComputeCoordinates(::arm_compute::Coordinates{in_b, in_h, in_w, in_d}, axises);
-          auto output_id = asARMComputeCoordinates(
-              ::arm_compute::Coordinates{out_b, out_h, out_w, out_d}, axises);
-
-          *reinterpret_cast<T *>(output->ptr_to_element(output_id)) =
-              *reinterpret_cast<T *>(input->ptr_to_element(input_id));
-        }
-      }
-    }
-  }
-}
-
-void SimpleSpaceToDepth::run()
-{
-  if (::internal::arm_compute::isGpuMode())
-  {
-    auto &q = ::arm_compute::CLScheduler::get().queue();
-
-    CAST_CL(_input)->map(q);
-    CAST_CL(_output)->map(q);
-  }
-
-  switch (_input->info()->data_type())
-  {
-    case ::arm_compute::DataType::U8:
-    case ::arm_compute::DataType::QASYMM8:
-      SpaceToDepth<uint8_t>(_input, _input->info()->tensor_shape(), _block_size, _output,
-                            _output->info()->tensor_shape(), _axises);
-      break;
-    case ::arm_compute::DataType::F32:
-      SpaceToDepth<float>(_input, _input->info()->tensor_shape(), _block_size, _output,
-                          _output->info()->tensor_shape(), _axises);
-      break;
-    default:
-      ARM_COMPUTE_ERROR("DataType not supported");
-      break;
-  }
-
-  if (::internal::arm_compute::isGpuMode())
-  {
-    auto &q = ::arm_compute::CLScheduler::get().queue();
-
-    CAST_CL(_input)->unmap(q);
-    CAST_CL(_output)->unmap(q);
-  }
-}