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-rw-r--r--libs/tflite/include/tflite/ext/kernels/CustomOps.h60
1 files changed, 0 insertions, 60 deletions
diff --git a/libs/tflite/include/tflite/ext/kernels/CustomOps.h b/libs/tflite/include/tflite/ext/kernels/CustomOps.h
deleted file mode 100644
index 3f9459bb2..000000000
--- a/libs/tflite/include/tflite/ext/kernels/CustomOps.h
+++ /dev/null
@@ -1,60 +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.
- */
-
-/**
- * @file CustomOps.h
- * @brief This file contains registration of custom operands
- * @ingroup COM_AI_RUNTIME
- */
-
-#ifndef __NNFW_TFLITE_EXT_KERNELS_CUSTOM_OP_H__
-#define __NNFW_TFLITE_EXT_KERNELS_CUSTOM_OP_H__
-
-#include "tensorflow/contrib/lite/context.h"
-#include "tflite/ext/kernels/TensorFlowMax.h"
-#include "tflite/ext/kernels/SquaredDifference.h"
-#include "tflite/ext/kernels/TensorFlowSum.h"
-#include "tflite/ext/kernels/Abs.h"
-
-namespace nnfw
-{
-namespace tflite
-{
-namespace custom
-{
-
-#define REGISTER_FUNCTION(Name) \
- TfLiteRegistration *Register_##Name(void) \
- { \
- static TfLiteRegistration r = { \
- Name::Init##Name, Name::Free##Name, Name::Prepare##Name, Name::Eval##Name, \
- }; \
- r.custom_name = #Name; \
- return &r; \
- }
-
-REGISTER_FUNCTION(TensorFlowMax)
-REGISTER_FUNCTION(SquaredDifference)
-REGISTER_FUNCTION(TensorFlowSum)
-REGISTER_FUNCTION(Abs)
-
-#undef REGISTER_FUNCTION
-
-} // namespace custom
-} // namespace tflite
-} // namespace nnfw
-
-#endif // __NNFW_TFLITE_EXT_KERNELS_CUSTOM_OP_H__