Imported Upstream version 0.4upstream/0.4

1 files changed, 0 insertions, 182 deletions

diff --git a/compute/ARMComputeEx/src/runtime/NEON/functions/NEReduceOperation.cpp b/compute/ARMComputeEx/src/runtime/NEON/functions/NEReduceOperation.cpp
deleted file mode 100644
index aedb537e9..000000000
--- a/compute/ARMComputeEx/src/runtime/NEON/functions/NEReduceOperation.cpp
+++ /dev/null
@@ -1,182 +0,0 @@
-/*
- * Copyright (c) 2019 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.
- */
-
-/*
- * Copyright (c) 2018-2019 ARM Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-
-#include "arm_compute/runtime/NEON/functions/NEReduceOperation.h"
-
-#include "arm_compute/core/CPP/Validate.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/runtime/NEON/NEScheduler.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/runtime/Tensor.h"
-
-using namespace arm_compute;
-
-NEReduceOperation::NEReduceOperation(std::shared_ptr<IMemoryManager> memory_manager)
-    : _memory_group(std::move(memory_manager)), _reduction_kernels(), _reduced_outs(), _reshape(),
-      _reduction_ops(), _keep_dims()
-{
-}
-
-Status NEReduceOperation::validate(const ITensorInfo *input, const Coordinates &reduction_axis,
-                                   bool keep_dims, const ITensorInfo *output, ReduceOperation op)
-{
-  ARM_COMPUTE_UNUSED(keep_dims);
-  ARM_COMPUTE_UNUSED(op);
-  ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
-  ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input);
-  ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16,
-                                                       DataType::F32);
-  ARM_COMPUTE_RETURN_ERROR_ON(reduction_axis.num_dimensions() > input->num_dimensions());
-
-  TensorShape out_shape = input->tensor_shape();
-  const unsigned int reduction_ops = reduction_axis.num_dimensions();
-  const int input_dims = input->num_dimensions();
-  Coordinates axis_local = reduction_axis;
-
-  // Convert negative axis
-  for (unsigned int i = 0; i < reduction_ops; ++i)
-  {
-    axis_local[i] = wrap_around(axis_local[i], input_dims);
-  }
-
-  std::sort(axis_local.begin(), axis_local.begin() + reduction_ops);
-  for (unsigned int i = 0; i < reduction_ops; ++i)
-  {
-    ARM_COMPUTE_RETURN_ERROR_ON(axis_local[i] > 3);
-    ARM_COMPUTE_RETURN_ERROR_ON(static_cast<unsigned int>(axis_local[i]) >
-                                input->num_dimensions() - 1);
-    if (output->total_size() > 0 && keep_dims)
-    {
-      ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(axis_local[i]) != 1);
-    }
-    if (keep_dims)
-    {
-      out_shape.set(axis_local[i], 1);
-    }
-    else
-    {
-      out_shape.remove_dimension(axis_local[i] - i);
-    }
-  }
-  const TensorInfo out_info = input->clone()->set_tensor_shape(out_shape);
-  ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &out_info);
-
-  return Status{};
-}
-
-void NEReduceOperation::configure(ITensor *input, const Coordinates &reduction_axis, bool keep_dims,
-                                  ITensor *output, ReduceOperation op)
-{
-  ARM_COMPUTE_ERROR_ON_NULLPTR(input);
-
-  _reduction_ops = reduction_axis.num_dimensions();
-  _reduction_kernels.resize(_reduction_ops);
-  _reduced_outs.resize(_reduction_ops - (keep_dims ? 1 : 0));
-  _keep_dims = keep_dims;
-
-  Coordinates axis_local = reduction_axis;
-  const int input_dims = input->info()->num_dimensions();
-  const unsigned int reduction_ops = reduction_axis.num_dimensions();
-
-  // Convert negative axis
-  for (unsigned int i = 0; i < reduction_ops; ++i)
-  {
-    axis_local[i] = wrap_around(axis_local[i], input_dims);
-  }
-
-  // Perform reduction for every axis
-  for (unsigned int i = 0; i < _reduction_ops; ++i)
-  {
-    TensorShape out_shape =
-        i == 0 ? input->info()->tensor_shape() : (&_reduced_outs[i - 1])->info()->tensor_shape();
-    out_shape.set(axis_local[i], 1);
-    auto in = (i == 0) ? input : (&_reduced_outs[i - 1]);
-
-    if (i == _reduction_ops - 1 && keep_dims)
-    {
-      _reduction_kernels[i].configure(in, output, axis_local[i], op);
-    }
-    else
-    {
-      _reduced_outs[i].allocator()->init(TensorInfo(out_shape, input->info()->num_channels(),
-                                                    input->info()->data_type(),
-                                                    input->info()->quantization_info()));
-      _memory_group.manage(&_reduced_outs[i]);
-      _reduction_kernels[i].configure(in, &_reduced_outs[i], axis_local[i], op);
-    }
-  }
-
-  // Allocate intermediate tensors
-  for (unsigned int i = 0; i < _reduction_ops - (keep_dims ? 1 : 0); ++i)
-  {
-    _reduced_outs[i].allocator()->allocate();
-  }
-
-  // Configure reshape layer if we want to drop the dimensions
-  if (!keep_dims)
-  {
-    TensorShape out_shape = input->info()->tensor_shape();
-
-    // We have to sort the reduction axis vectors in order for remove_dimension
-    // to work properly
-    std::sort(axis_local.begin(), axis_local.begin() + _reduction_ops);
-    for (unsigned int i = 0; i < _reduction_ops; ++i)
-    {
-      out_shape.remove_dimension(axis_local[i] - i);
-    }
-    auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(out_shape));
-    _reshape.configure(&_reduced_outs[_reduction_ops - 1], output);
-  }
-}
-
-void NEReduceOperation::run()
-{
-  MemoryGroupResourceScope scope_mg(_memory_group);
-
-  for (unsigned int i = 0; i < _reduction_ops; ++i)
-  {
-    _reduction_kernels[i].run();
-  }
-
-  if (!_keep_dims)
-  {
-    _reshape.run();
-  }
-}