Imported Upstream version 0.4upstream/0.4

1 files changed, 0 insertions, 66 deletions

diff --git a/runtime/onert/backend/cpu/ops/SquaredDiffLayer.cc b/runtime/onert/backend/cpu/ops/SquaredDiffLayer.cc
deleted file mode 100644
index cf67a5c00..000000000
--- a/runtime/onert/backend/cpu/ops/SquaredDiffLayer.cc
+++ /dev/null
@@ -1,66 +0,0 @@
-/*
- * Copyright (c) 2020 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 "SquaredDiffLayer.h"
-
-#include "OperationUtils.h"
-
-#include <cker/operation/SqDiff.h>
-
-namespace onert
-{
-namespace backend
-{
-namespace cpu
-{
-namespace ops
-{
-
-SqDiffLayer::SqDiffLayer() : _input1(nullptr), _input2(nullptr), _output(nullptr)
-{
-  // DO NOTHING
-}
-
-void SqDiffLayer::SqDiffFloat32()
-{
-  nnfw::cker::SqDiff(getTensorShape(_input1), reinterpret_cast<const float *>(_input1->buffer()),
-                     getTensorShape(_input2), reinterpret_cast<const float *>(_input2->buffer()),
-                     getTensorShape(_output), reinterpret_cast<float *>(_output->buffer()));
-}
-
-void SqDiffLayer::configure(const IPortableTensor *input1, const IPortableTensor *input2,
-                            IPortableTensor *output)
-{
-  _input1 = input1;
-  _input2 = input2;
-  _output = output;
-}
-
-void SqDiffLayer::run()
-{
-  if (_input1->data_type() == OperandType::FLOAT32)
-  {
-    SqDiffFloat32();
-  }
-  else
-  {
-    throw std::runtime_error{"SquaredDiff: unsupported data type"};
-  }
-}
-} // namespace ops
-} // namespace cpu
-} // namespace backend
-} // namespace onert