1 files changed, 0 insertions, 136 deletions
diff --git a/runtime/neurun/backend/srcn/kernel/TransposeConvLayer.cc b/runtime/neurun/backend/srcn/kernel/TransposeConvLayer.cc
deleted file mode 100644
index 26469f728..000000000
--- a/runtime/neurun/backend/srcn/kernel/TransposeConvLayer.cc
+++ /dev/null
@@ -1,136 +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.
- */
-
-#include "TransposeConvLayer.h"
-
-#include <cstring>
-#include "OperationUtils.h"
-#include "ncnn/srcn/srcn_conv.h"
-
-namespace neurun
-{
-namespace backend
-{
-namespace srcn
-{
-namespace kernel
-{
-
-TransposeConvLayer::TransposeConvLayer()
-    : _inputData(), _kernelData(), _outputData(), _inputDescr(), _kernelDescr(), _outputDescr(),
-      _paddingType(0), _paddingLeft(0), _paddingTop(0), _paddingRight(0), _paddingBottom(0),
-      _strideWidth(0), _strideHeight(0), _inputType(OperandType::FLOAT32),
-      _layout(nnfw::srcn::col_major)
-{
-  // DO NOTHING
-}
-
-void TransposeConvLayer::convFloat32()
-{
-  nnfw::srcn::convMat_t in_mat, out_mat, kernel_mat;
-  nnfw::srcn::convParams_t in_param;
-
-  assert(_layout == nnfw::srcn::col_major || _layout == nnfw::srcn::row_major);
-  size_t height_index = _layout == nnfw::srcn::col_major ? 1 : 2;
-  size_t width_index = _layout == nnfw::srcn::col_major ? 2 : 3;
-  size_t depth_index = _layout == nnfw::srcn::col_major ? 3 : 1;
-  size_t kernel_input_depth_index = _layout == nnfw::srcn::col_major ? 3 : 1;
-  size_t kernel_output_depth_index = 0;
-  const int batches = MatchingDim(_inputDescr, 0, _outputDescr, 0);
-  const int input_height = _inputDescr.dimensions[height_index];
-  const int input_width = _inputDescr.dimensions[width_index];
-  const int input_depth =
-      MatchingDim(_inputDescr, depth_index, _kernelDescr, kernel_input_depth_index);
-  in_mat.c = input_depth;
-  in_mat.w = input_width;
-  in_mat.h = input_height;
-  in_mat.n = batches;
-  in_mat.data = _inputData.f;
-
-  const int output_height = _outputDescr.dimensions[height_index];
-  const int output_width = _outputDescr.dimensions[width_index];
-  const int output_depth =
-      MatchingDim(_kernelDescr, kernel_output_depth_index, _outputDescr, depth_index);
-  out_mat.c = output_depth;
-  out_mat.w = output_width;
-  out_mat.h = output_height;
-  out_mat.n = batches;
-  out_mat.data = _outputData.f;
-
-  const int ker_height = _kernelDescr.dimensions[height_index];
-  const int ker_width = _kernelDescr.dimensions[width_index];
-  kernel_mat.c = input_depth;
-  kernel_mat.w = ker_width;
-  kernel_mat.h = ker_height;
-  kernel_mat.n = output_depth;
-  kernel_mat.data = _kernelData.f;
-
-  in_param.kernel_w = ker_width;
-  in_param.kernel_h = ker_height;
-  in_param.stride_w = _strideWidth;
-  in_param.stride_h = _strideHeight;
-  in_param.padding = _paddingType;
-  in_param.pad_w = _paddingLeft;
-  in_param.pad_h = _paddingTop;
-  in_param.dilation_w = 1;
-  in_param.dilation_h = 1;
-
-  memset(_outputData.f, 0, out_mat.n * out_mat.h * out_mat.w * out_mat.c * sizeof(float));
-
-  nnfw::srcn::srcn_deconvolution2D(in_mat, kernel_mat, out_mat, in_param, 4, _layout);
-}
-
-void TransposeConvLayer::configure(uint8_t *inputData, const TensorDescriptor inputDescr,
-                                   uint8_t *kernelData, const TensorDescriptor kernelDescr,
-                                   const uint32_t paddingType, const uint32_t paddingLeft,
-                                   const uint32_t paddingRight, const uint32_t paddingTop,
-                                   const uint32_t paddingBottom, const uint32_t strideWidth,
-                                   const uint32_t strideHeight, uint8_t *outputData,
-                                   const TensorDescriptor outputDescr, ir::Layout layout)
-{
-  _layout = convertLayout(layout);
-  _inputData.u8 = inputData;
-  _inputDescr = inputDescr;
-  _inputType = inputDescr.type;
-  _kernelData.u8 = kernelData;
-  _kernelDescr = kernelDescr;
-  _paddingType = paddingType;
-  _paddingLeft = paddingLeft;
-  _paddingRight = paddingRight;
-  _paddingTop = paddingTop;
-  _paddingBottom = paddingBottom;
-  _strideWidth = strideWidth;
-  _strideHeight = strideHeight;
-  _outputData.u8 = outputData;
-  _outputDescr = outputDescr;
-}
-
-void TransposeConvLayer::run()
-{
-  if (_inputType == OperandType::FLOAT32)
-  {
-    convFloat32();
-  }
-  else if (_inputType == OperandType::QUANT8_ASYMM)
-  {
-    throw std::runtime_error("NYI");
-  }
-}
-
-} // namespace kernel
-} // namespace srcn
-} // namespace backend
-} // namespace neurun