1 /*
2 * Copyright (C) 2018 The Android Open Source Project
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 #define LOG_TAG "Operations"
18
19 #include "HalInterfaces.h"
20 #include "OperationResolver.h"
21 #include "OperationsUtils.h"
22
23 namespace android {
24 namespace nn {
25 namespace logical_not {
26
27 constexpr uint32_t kNumInputs = 1;
28 constexpr uint32_t kInputTensor = 0;
29
30 constexpr uint32_t kNumOutputs = 1;
31 constexpr uint32_t kOutputTensor = 0;
32
33 namespace {
34
35 using namespace hal;
36
compute(const bool8 * input,const Shape & shape,bool8 * output)37 bool compute(const bool8* input, const Shape& shape, bool8* output) {
38 const auto size = getNumberOfElements(shape);
39 for (uint32_t i = 0; i < size; ++i) {
40 output[i] = input[i] == 0;
41 }
42 return true;
43 }
44
45 } // namespace
46
validate(const IOperationValidationContext * context)47 bool validate(const IOperationValidationContext* context) {
48 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs);
49 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs);
50 OperandType inputType = context->getInputType(kInputTensor);
51 NN_RET_CHECK(inputType == OperandType::TENSOR_BOOL8)
52 << "Unsupported tensor type for LOGICAL_NOT";
53 NN_RET_CHECK(validateInputTypes(context, {inputType}));
54 NN_RET_CHECK(validateOutputTypes(context, {inputType}));
55 return validateHalVersion(context, HalVersion::V1_2);
56 }
57
prepare(IOperationExecutionContext * context)58 bool prepare(IOperationExecutionContext* context) {
59 Shape input = context->getInputShape(kInputTensor);
60 Shape output = context->getOutputShape(kOutputTensor);
61 NN_RET_CHECK(SetShape(input, &output));
62 return context->setOutputShape(kOutputTensor, output);
63 }
64
execute(IOperationExecutionContext * context)65 bool execute(IOperationExecutionContext* context) {
66 return compute(context->getInputBuffer<bool8>(kInputTensor),
67 context->getInputShape(kInputTensor),
68 context->getOutputBuffer<bool8>(kOutputTensor));
69 }
70
71 } // namespace logical_not
72
73 NN_REGISTER_OPERATION(LOGICAL_NOT, "LOGICAL_NOT", logical_not::validate, logical_not::prepare,
74 logical_not::execute);
75
76 } // namespace nn
77 } // namespace android
78