1 files changed, 0 insertions, 75 deletions
diff --git a/runtimes/neurun/src/util/Padding.cc b/runtimes/neurun/src/util/Padding.cc
deleted file mode 100644
index a24c9ddf7..000000000
--- a/runtimes/neurun/src/util/Padding.cc
+++ /dev/null
@@ -1,75 +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 "util/Padding.h"
-
-#include <algorithm>
-
-namespace neurun
-{
-namespace util
-{
-
-Padding valid_padding(void)
-{
-  //
-  // ANEURALNETWORKS_PADDING_VALID
-  //
-  // VALID padding. No padding.
-  //
-  // When the input size is not evenly divisible by the filter size,
-  // the input at the end that could not fill the whole filter tile
-  // will simply be ignored.
-  //
-  Padding padding;
-
-  padding.top = 0;
-  padding.bottom = 0;
-  padding.left = 0;
-  padding.right = 0;
-
-  return padding;
-}
-
-Padding same_padding(const nnfw::misc::feature::Shape &ifm_shape,
-                     const nnfw::misc::feature::Shape &ofm_shape, const Stride &stride, uint32_t kw,
-                     uint32_t kh)
-{
-  Padding padding;
-
-  // ANEURALNETWORKS_PADDING_SAME (from NNAPI spec)
-  //
-  // SAME padding. Padding on both ends are the "same":
-  //
-  //	padding_to_beginning = total_padding / 2
-  //  padding_to_end = (total_padding + 1)/2.
-  //
-  const int32_t vertical_needed_input = (ofm_shape.H - 1) * stride.vertical + kh;
-  const int32_t vertical_total_padding = std::max(0, vertical_needed_input - ifm_shape.H);
-
-  const int32_t horizontal_needed_input = (ofm_shape.W - 1) * stride.horizontal + kw;
-  const int32_t horizontal_total_padding = std::max(0, horizontal_needed_input - ifm_shape.W);
-
-  padding.top = vertical_total_padding / 2;
-  padding.bottom = (vertical_total_padding + 1) / 2;
-  padding.left = horizontal_total_padding / 2;
-  padding.right = (horizontal_total_padding + 1) / 2;
-
-  return padding;
-}
-
-} // namespace util
-} // namespace neurun