Imported Upstream version 1.25.0

[platform/core/ml/nnfw.git] / onert-micro / luci-interpreter / pal / common / PALNeg.h

diff --git a/onert-micro/luci-interpreter/pal/linux/PALNeg.h b/onert-micro/luci-interpreter/pal/common/PALNeg.h
similarity index 53%
rename from onert-micro/luci-interpreter/pal/linux/PALNeg.h
rename to onert-micro/luci-interpreter/pal/common/PALNeg.h
index c88b045..4c91538 100644 (file)
--- a/onert-micro/luci-interpreter/pal/linux/PALNeg.h
+++ b/onert-micro/luci-interpreter/pal/common/PALNeg.h
@@ -1,6 +1,5 @@
 /*
- * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
- * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+ * Copyright (c) 2023 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.
@@ -18,15 +17,29 @@
 #ifndef LUCI_INTERPRETER_PAL_NEG_H
 #define LUCI_INTERPRETER_PAL_NEG_H
 
-#include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h>
-
 namespace luci_interpreter_pal
 {
 template <typename T>
-static inline void Negate(const tflite::RuntimeShape &input_shape, const T *input_data,
-                          const tflite::RuntimeShape &output_shape, T *output_data)
+inline void Negate(const luci_interpreter::RuntimeShape &input_shape, const T *input_data,
+                   const luci_interpreter::RuntimeShape &output_shape, T *output_data)
+
 {
-  tflite::reference_ops::Negate(input_shape, input_data, output_shape, output_data);
+  // check that input and output dimensions are equal
+  int N = input_shape.dimensionsCount();
+  assert(N == output_shape.dimensionsCount());
+
+  // check that sizes of all dimensions are equal
+  for (int i = 0; i < N; ++i)
+  {
+    assert(input_shape.dims(i) == output_shape.dims(i));
+  }
+
+  const int flat_size = input_shape.flatSize();
+
+  for (int i = 0; i < flat_size; ++i)
+  {
+    output_data[i] = -input_data[i];
+  }
 }
 } // namespace luci_interpreter_pal