1 files changed, 0 insertions, 109 deletions
diff --git a/runtime/neurun/core/src/exec/interp/operations/Pad.cc b/runtime/neurun/core/src/exec/interp/operations/Pad.cc
deleted file mode 100644
index 0c8267a90..000000000
--- a/runtime/neurun/core/src/exec/interp/operations/Pad.cc
+++ /dev/null
@@ -1,109 +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 <cker/operation/Pad.h>
-
-#include "OperationUtil.h"
-
-#include "exec/interp/Registration.h"
-#include "ir/operation/Pad.h"
-
-namespace neurun
-{
-namespace exec
-{
-namespace interp
-{
-namespace
-{
-
-void preparePad(ExecEnv *env, const ir::Operation &node)
-{
-  const auto input_index = node.getInputs().at(ir::operation::Pad::INPUT);
-  const auto output_index = node.getOutputs().at(0);
-
-  const auto input_tensor = env->tensorAt(input_index);
-
-  const auto output_info = env->graph().operands().at(output_index).info();
-
-  // Check shape and type lhs is same with rhs
-  // TODO Util function to compare TensorInfo
-  if (output_info.total_size() == 0)
-  {
-    throw std::runtime_error{"Interp(Pad): NYI unspecified output shape"};
-  }
-  else
-  {
-    env->allocateIfNeeded(output_index, output_info);
-  }
-
-  const auto output_tensor = env->tensorAt(output_index);
-  if (input_tensor->data_type() != output_tensor->data_type())
-  {
-    throw std::runtime_error{"Interp(Pad): Invalid output type"};
-  }
-}
-
-void invoke(const ITensor *input_tensor, const ITensor *pad_tensor, const ITensor *output_tensor)
-{
-  const auto input_buffer = input_tensor->bufferRO();
-  const auto pad_buffer = pad_tensor->bufferRO();
-  auto output_buffer = output_tensor->buffer();
-
-  int32_t pad_rank = pad_tensor->dimension(0);
-
-  const auto cker_input_shape = convertShape(input_tensor->tensorInfo().shape());
-  const auto cker_output_shape = convertShape(output_tensor->tensorInfo().shape());
-  const float *input_ptr = reinterpret_cast<const float *>(input_buffer);
-  const int32_t *pad_ptr = reinterpret_cast<const int32_t *>(pad_buffer);
-  float *output_ptr = reinterpret_cast<float *>(output_buffer);
-
-  nnfw::cker::Pad(pad_ptr, pad_rank, cker_input_shape, input_ptr, cker_output_shape, output_ptr,
-                  nullptr);
-}
-
-void invokePad(const ExecEnv *env, const ir::Operation &node)
-{
-  const auto input_index = node.getInputs().at(ir::operation::Pad::INPUT);
-  const auto pad_index = node.getInputs().at(ir::operation::Pad::PAD);
-  const auto output_index = node.getOutputs().at(0);
-
-  const auto input_tensor = env->tensorAt(input_index);
-  const auto pad_tensor = env->tensorAt(pad_index);
-  const auto output_tensor = env->tensorAt(output_index);
-
-  const auto data_type = input_tensor->data_type();
-
-  if (data_type == ir::DataType::FLOAT32)
-  {
-    invoke(input_tensor, pad_tensor, output_tensor);
-  }
-  else
-  {
-    throw std::runtime_error{"Interp(Pad): NYI - Unsupported data type"};
-  }
-}
-} // namespace
-
-OpKernel *getPad()
-{
-  static OpKernel kernel = {preparePad, invokePad};
-  return &kernel;
-}
-
-} // namespace interp
-} // namespace exec
-} // namespace neurun