ONE - On-device Neural Engine
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LogicalAnd.cpp
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1/*
2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright 2018 The TensorFlow Authors. All Rights Reserved.
4 *
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17
18#include "kernels/LogicalAnd.h"
19
20#include "kernels/Utils.h"
21
22#include "kernels/BinaryOpCommon.h"
23
24namespace luci_interpreter
25{
26namespace kernels
27{
28
29LogicalAnd::LogicalAnd(const Tensor *input1, const Tensor *input2, Tensor *output)
30 : Kernel({input1, input2}, {output})
31{
32}
33
35{
36 LUCI_INTERPRETER_CHECK(input1()->element_type() == input2()->element_type());
37 LUCI_INTERPRETER_CHECK(input1()->element_type() == output()->element_type());
38 output()->resize(calculateShapeForBroadcast(input1()->shape(), input2()->shape()));
39}
40
42{
43 switch (input1()->element_type())
44 {
45 case DataType::BOOL:
46 evalLogicalAnd();
47 break;
48 default:
49 throw std::runtime_error("luci-intp LogicalAnd Unsupported type.");
50 }
51}
52
53inline void LogicalAnd::evalLogicalAnd() const
54{
55 BinaryOpBroadcastSlow(getTensorShape(input1()), getTensorData<bool>(input1()),
56 getTensorShape(input2()), getTensorData<bool>(input2()),
57 getTensorShape(output()), getTensorData<bool>(output()),
58 [](bool x, bool y) { return x && y; });
59}
60
61} // namespace kernels
62} // namespace luci_interpreter
void resize(const Shape &new_shape)
Definition Tensor.cpp:56
LogicalAnd(const Tensor *input1, const Tensor *input2, Tensor *output)
const Tensor * input2() const
Definition LogicalAnd.h:34
const Tensor * input1() const
Definition LogicalAnd.h:33
#define LUCI_INTERPRETER_CHECK(cond)
Definition Utils.h:36
Shape calculateShapeForBroadcast(const Shape &input1_shape, const Shape &input2_shape)
Definition Utils.cpp:204
tflite::RuntimeShape getTensorShape(const Tensor *tensor)
Definition Utils.h:194
void BinaryOpBroadcastSlow(const tflite::RuntimeShape &unextended_input1_shape, const T *input1_data, const tflite::RuntimeShape &unextended_input2_shape, const T *input2_data, const tflite::RuntimeShape &unextended_output_shape, T *output_data, Op op)