ONE - On-device Neural Engine
Loading...
Searching...
No Matches
PALNeg.h
Go to the documentation of this file.
1/*
2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#ifndef LUCI_INTERPRETER_PAL_NEG_H
18#define LUCI_INTERPRETER_PAL_NEG_H
19
21{
22template <typename T>
23inline void Negate(const luci_interpreter::RuntimeShape &input_shape, const T *input_data,
24 const luci_interpreter::RuntimeShape &output_shape, T *output_data)
25
26{
27 // check that input and output dimensions are equal
28 int N = input_shape.dimensionsCount();
29 assert(N == output_shape.dimensionsCount());
30
31 // check that sizes of all dimensions are equal
32 for (int i = 0; i < N; ++i)
33 {
34 assert(input_shape.dims(i) == output_shape.dims(i));
35 }
36
37 const int flat_size = input_shape.flatSize();
38
39 for (int i = 0; i < flat_size; ++i)
40 {
41 output_data[i] = -input_data[i];
42 }
43}
44} // namespace luci_interpreter_pal
45
46#endif // LUCI_INTERPRETER_PAL_NEG_H
int32_t dimensionsCount() const
Definition Tensor.h:106
int32_t dims(int i) const
Definition Tensor.h:108
const luci_interpreter::RuntimeShape output_shape
void Negate(const luci_interpreter::RuntimeShape &input_shape, const T *input_data, const luci_interpreter::RuntimeShape &output_shape, T *output_data)
Definition PALNeg.h:23