Removing the not required Pad op files (#3625)
authorShubham Gupta/SNAP /SRI-Bangalore/Engineer/삼성전자 <shub98.gupta@samsung.com>
Wed, 28 Nov 2018 07:58:19 +0000 (13:28 +0530)
committer오형석/동작제어Lab(SR)/Staff Engineer/삼성전자 <hseok82.oh@samsung.com>
Wed, 28 Nov 2018 07:58:19 +0000 (16:58 +0900)
After PR #3428 merged
These PadLayer files are not required.

Signed-off-by: shubham <shub98.gupta@samsung.com>
runtimes/pure_arm_compute/src/internal/layers/PadLayer.cc [deleted file]
runtimes/pure_arm_compute/src/internal/layers/PadLayer.h [deleted file]

diff --git a/runtimes/pure_arm_compute/src/internal/layers/PadLayer.cc b/runtimes/pure_arm_compute/src/internal/layers/PadLayer.cc
deleted file mode 100644 (file)
index 9cac6f9..0000000
+++ /dev/null
@@ -1,99 +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 "PadLayer.h"
-#include <arm_compute/runtime/CL/CLScheduler.h>
-#include "internal/arm_compute.h"
-
-void PadLayer::configure(::arm_compute::ITensor *input, ::arm_compute::ITensor *output,
-                         unsigned int border_width)
-{
-  _input = input;
-  _output = output;
-  _border_width = border_width;
-  _output_height = _output->info()->dimension(0);
-  _output_width = _output->info()->dimension(1);
-
-  uint8_t constant_border_value = 0;
-  ::arm_compute::PixelValue constant_pixel_value = ::arm_compute::PixelValue(constant_border_value);
-
-  unsigned int padding_size = _border_width;
-  input->info()->extend_padding(::arm_compute::PaddingSize{padding_size});
-  if (::internal::arm_compute::isGpuMode())
-  {
-    _fillborderkernel.configure(CAST_CL(input), _border_width, ::arm_compute::BorderMode::CONSTANT,
-                                constant_pixel_value);
-  }
-  else
-  {
-    _nefillborderkernel.configure(input, _border_width, ::arm_compute::BorderMode::CONSTANT,
-                                  constant_pixel_value);
-  }
-}
-
-void PadLayer::run(void)
-{
-  if (::internal::arm_compute::isGpuMode())
-  {
-    _fillborderkernel.run();
-  }
-  else
-  {
-    _nefillborderkernel.run();
-  }
-
-  ::arm_compute::Coordinates coordinates =
-      ::arm_compute::Coordinates(-_border_width, -_border_width);
-  ::arm_compute::TensorShape new_tensor_shape =
-      ::arm_compute::TensorShape(_output_height, _output_width);
-
-  /* NOTE: The cl kernel fills the data in the borders(not in the tensor).
-           Once the tensor is received back at NNAPI, we are adjusting
-           the valid region in such a way that the padding becomes part of the tensor itself
-           and matches the size of output. */
-  _input->info()->set_valid_region(::arm_compute::ValidRegion(coordinates, new_tensor_shape));
-
-  /* NOTE: Since cl kernel does not have an argument for output tensor while NNAPI does.
-           We need to map the input (tensor that is passed to the cl kernel) back to
-           output. */
-
-  // TODO: Write a modified CLCopy kernel to do this job.
-  populateOutput();
-}
-
-void PadLayer::populateOutput()
-{
-  auto &queue = ::arm_compute::CLScheduler::get().queue();
-  if (::internal::arm_compute::isGpuMode())
-  {
-    CAST_CL(_input)->map(queue);
-    CAST_CL(_output)->map(queue);
-  }
-
-  auto input_tensor = static_cast<::arm_compute::ITensor *>(_input);
-  auto const source_data = input_tensor->buffer();
-
-  auto output_tensor = static_cast<::arm_compute::ITensor *>(_output);
-  auto dst_data = output_tensor->buffer();
-
-  memmove(dst_data, source_data, _output_height * _output_width * 4);
-
-  if (::internal::arm_compute::isGpuMode())
-  {
-    CAST_CL(_input)->unmap(queue);
-    CAST_CL(_output)->unmap(queue);
-  }
-}
diff --git a/runtimes/pure_arm_compute/src/internal/layers/PadLayer.h b/runtimes/pure_arm_compute/src/internal/layers/PadLayer.h
deleted file mode 100644 (file)
index 7901d04..0000000
+++ /dev/null
@@ -1,72 +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.
- */
-
-/**
- * @file        PadLayer.h
- * @brief       This file contains PadLayer class
- * @ingroup     COM_AI_RUNTIME
- */
-
-#ifndef __PAD_LAYER_H__
-#define __PAD_LAYER_H__
-
-#include <arm_compute/runtime/Tensor.h>
-#include <arm_compute/runtime/CL/CLTensor.h>
-#include <arm_compute/runtime/CL/functions/CLFillBorder.h>
-#include <arm_compute/runtime/NEON/functions/NEFillBorder.h>
-
-class PadLayer : public ::arm_compute::IFunction
-{
-public:
-  PadLayer(void)
-      : _input(nullptr), _output(nullptr), _border_width(0), _output_height(0), _output_width(0),
-        _fillborderkernel{}, _nefillborderkernel{}
-  {
-    // DO NOTHING
-  }
-
-  /**
-   * @brief Configure the layer
-   * @param[in] input The source tensor
-   * @param[in] output The destination tensor
-   * @param[in] border_width The padding size
-   * @return N/A
-   */
-  void configure(::arm_compute::ITensor *input, ::arm_compute::ITensor *output,
-                 unsigned int border_width);
-  /**
-   * @brief Run the operation. Must be called after configure().
-   * @return N/A
-   */
-  void run(void) override;
-
-private:
-  ::arm_compute::ITensor *_input;
-  ::arm_compute::ITensor *_output;
-  int _border_width;
-  int _output_height;
-  int _output_width;
-
-  ::arm_compute::CLFillBorder _fillborderkernel;
-  ::arm_compute::NEFillBorder _nefillborderkernel;
-  /**
-   * @brief Copy the data to output
-   * @return N/A
-   */
-  void populateOutput();
-};
-
-#endif // __PAD_LAYER_H__