1 files changed, 0 insertions, 74 deletions
diff --git a/runtimes/pure_arm_compute/src/internal/layers/SimpleUnpackLayer.cc b/runtimes/pure_arm_compute/src/internal/layers/SimpleUnpackLayer.cc
deleted file mode 100644
index 910595a44..000000000
--- a/runtimes/pure_arm_compute/src/internal/layers/SimpleUnpackLayer.cc
+++ /dev/null
@@ -1,74 +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/arm_compute.h"
-#include "SimpleUnpackLayer.h"
-
-void SimpleUnpackLayer::configure(::arm_compute::ICLTensor *input,
-                                  const std::vector<::arm_compute::ICLTensor *> &output_vector,
-                                  int32_t axis)
-{
-  uint32_t nr_outputs = output_vector.size();
-  _cl_permuted_vector.resize(nr_outputs);
-  _cl_permute_vector.resize(nr_outputs);
-  uint32_t input_rank = input->info()->num_dimensions();
-  const ::arm_compute::PermutationVector pv{2, 0, 1};
-  _input = input;
-  // Negatige axis is supported, -1 implies R-1 axis where R is input rank
-  if (axis < 0)
-  {
-    axis += input_rank;
-  }
-  _axis = ToARMComputeAxis(input_rank, axis).value();
-  _cl_reshape_vector.resize(nr_outputs);
-
-  ::arm_compute::TensorShape subTensor_shape{};
-  for (int i = 0; i < input_rank; i++)
-  {
-    if (i != _axis)
-    {
-      subTensor_shape.set(i, _input->info()->tensor_shape()[i]);
-    }
-    else
-    {
-      subTensor_shape.set(i, 1);
-    }
-  }
-
-  auto subTensor_offset = ::arm_compute::Coordinates{};
-  subTensor_offset.set_num_dimensions(input_rank);
-
-  for (int i = 0; i < output_vector.size(); i++)
-  {
-    _output_vector.push_back(output_vector[i]);
-    subTensor_offset[_axis] = i;
-    auto temp_tensor = std::make_shared<::arm_compute::CLSubTensor>(
-        CAST_CL(_input), subTensor_shape, subTensor_offset, true);
-    _sub_tensor_vector.push_back(temp_tensor);
-    // Copies into the subtensor
-    _cl_permute_vector[i].configure(_sub_tensor_vector[i].get(), &_cl_permuted_vector[i], pv);
-    _cl_reshape_vector[i].configure(&_cl_permuted_vector[i], CAST_CL(_output_vector[i]));
-    _cl_permuted_vector[i].allocator()->allocate();
-  }
-}
-
-void SimpleUnpackLayer::run(void)
-{
-  for (int i = 0; i < _output_vector.size(); i++)
-  {
-    _cl_permute_vector[i].run();
-    _cl_reshape_vector[i].run();
-  }
-}