1 files changed, 0 insertions, 65 deletions
diff --git a/compiler/luci-interpreter/src/kernels/Maximum.cpp b/compiler/luci-interpreter/src/kernels/Maximum.cpp
deleted file mode 100644
index c522b0706..000000000
--- a/compiler/luci-interpreter/src/kernels/Maximum.cpp
+++ /dev/null
@@ -1,65 +0,0 @@
-/*
- * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
- * Copyright 2018 The TensorFlow Authors. 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 "kernels/Maximum.h"
-
-#include "kernels/Utils.h"
-
-#include "kernels/BinaryOpCommon.h"
-
-namespace luci_interpreter
-{
-namespace kernels
-{
-
-Maximum::Maximum(const Tensor *input1, const Tensor *input2, Tensor *output)
-    : Kernel({input1, input2}, {output})
-{
-}
-
-void Maximum::configure()
-{
-  LUCI_INTERPRETER_CHECK(input1()->element_type() == input2()->element_type())
-  LUCI_INTERPRETER_CHECK(input1()->element_type() == output()->element_type())
-  output()->resize(calculateShapeForBroadcast(input1()->shape(), input2()->shape()));
-}
-
-void Maximum::execute() const
-{
-  switch (input1()->element_type())
-  {
-    case DataType::FLOAT32:
-      evalMaximum<float>();
-      break;
-    case DataType::U8:
-      evalMaximum<uint8_t>();
-      break;
-    default:
-      throw std::runtime_error("Unsupported type.");
-  }
-}
-
-template <typename T> inline void Maximum::evalMaximum() const
-{
-  BinaryOpBroadcastSlow(getTensorShape(input1()), getTensorData<T>(input1()),
-                        getTensorShape(input2()), getTensorData<T>(input2()),
-                        getTensorShape(output()), getTensorData<T>(output()),
-                        [](T x, T y) { return std::max(x, y); });
-}
-
-} // namespace kernels
-} // namespace luci_interpreter