1 files changed, 0 insertions, 54 deletions
diff --git a/compiler/tflchef/tflite/src/Op/ReduceMax.cpp b/compiler/tflchef/tflite/src/Op/ReduceMax.cpp
deleted file mode 100644
index 499f58566..000000000
--- a/compiler/tflchef/tflite/src/Op/ReduceMax.cpp
+++ /dev/null
@@ -1,54 +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 "ReduceMax.h"
-
-#include "Convert.h"
-
-namespace tflchef
-{
-
-void TFliteOpReduceMax::filler(const tflite::Operator *op, TFliteImport *import,
-                               tflchef::ModelRecipe *model_recipe) const
-{
-  // filler for second input
-  const auto &inputs = *op->inputs();
-
-  const tflite::Tensor *tensor = import->tensors()->Get(inputs[1]);
-  assert(tensor->type() == tflite::TensorType::TensorType_INT32);
-  const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
-  auto vec = extract_buffer<int32_t>(buffer);
-  import->set_tensor_filler(inputs[1], vec);
-}
-
-tflchef::Operation *TFliteOpReduceMax::build(const tflite::Operator *op, TFliteImport *import,
-                                             tflchef::ModelRecipe *model_recipe) const
-{
-  auto op_params = op->builtin_options_as_ReducerOptions();
-  assert(op_params != nullptr);
-
-  auto operation = model_recipe->add_operation();
-
-  operation->set_type("ReduceMax");
-
-  auto op_options = operation->mutable_reduce_max_options();
-
-  op_options->set_keep_dims(op_params->keep_dims());
-
-  return operation;
-}
-
-} // namespace tflchef