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 "IndexedShapeWrapper.h"
21 #include "OperationResolver.h"
22 #include "OperationsUtils.h"
23
24 namespace android {
25 namespace nn {
26 namespace logical {
27
28 constexpr uint32_t kNumInputs = 2;
29 constexpr uint32_t kInputTensor1 = 0;
30 constexpr uint32_t kInputTensor2 = 1;
31
32 constexpr uint32_t kNumOutputs = 1;
33 constexpr uint32_t kOutputTensor = 0;
34
35 namespace {
36
compute(const std::function<bool (bool,bool)> & func,const bool8 * aData,const Shape & aShape,const bool8 * bData,const Shape & bShape,bool8 * outputData,const Shape & outputShape)37 bool compute(const std::function<bool(bool, bool)>& func, const bool8* aData, const Shape& aShape,
38 const bool8* bData, const Shape& bShape, bool8* outputData, const Shape& outputShape) {
39 IndexedShapeWrapper aShapeIndexed(aShape);
40 IndexedShapeWrapper bShapeIndexed(bShape);
41 IndexedShapeWrapper outputShapeIndexed(outputShape);
42 std::vector<uint32_t> curIndex(outputShape.dimensions.size(), 0);
43 bool lastIndex = false;
44 do {
45 uint32_t outputFlatIndex;
46 NN_RET_CHECK(outputShapeIndexed.indexToFlatIndex(curIndex, &outputFlatIndex));
47 uint32_t aFlatIndex;
48 NN_RET_CHECK(aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex));
49 uint32_t bFlatIndex;
50 NN_RET_CHECK(bShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &bFlatIndex));
51
52 outputData[outputFlatIndex] = func(aData[aFlatIndex], bData[bFlatIndex]);
53
54 NN_RET_CHECK(outputShapeIndexed.nextIndexInplace(&curIndex, &lastIndex));
55 } while (!lastIndex);
56 return true;
57 }
58
59 } // namespace
60
validate(const IOperationValidationContext * context)61 bool validate(const IOperationValidationContext* context) {
62 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs);
63 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs);
64 OperandType inputType = context->getInputType(kInputTensor1);
65 NN_RET_CHECK(inputType == OperandType::TENSOR_BOOL8)
66 << "Unsupported tensor type for a logical operation";
67 NN_RET_CHECK(validateInputTypes(context, {inputType, inputType}));
68 NN_RET_CHECK(validateOutputTypes(context, {inputType}));
69 return validateHalVersion(context, HalVersion::V1_2);
70 }
71
prepare(IOperationExecutionContext * context)72 bool prepare(IOperationExecutionContext* context) {
73 Shape input1 = context->getInputShape(kInputTensor1);
74 Shape input2 = context->getInputShape(kInputTensor2);
75 Shape output = context->getOutputShape(kOutputTensor);
76 NN_RET_CHECK(calculateBroadcastedShape(input1, input2, &output));
77 return context->setOutputShape(kOutputTensor, output);
78 }
79
executeAnd(IOperationExecutionContext * context)80 bool executeAnd(IOperationExecutionContext* context) {
81 return compute(
82 std::logical_and<bool>(), context->getInputBuffer<bool8>(kInputTensor1),
83 context->getInputShape(kInputTensor1), context->getInputBuffer<bool8>(kInputTensor2),
84 context->getInputShape(kInputTensor2), context->getOutputBuffer<bool8>(kOutputTensor),
85 context->getOutputShape(kOutputTensor));
86 }
87
executeOr(IOperationExecutionContext * context)88 bool executeOr(IOperationExecutionContext* context) {
89 return compute(
90 std::logical_or<bool>(), context->getInputBuffer<bool8>(kInputTensor1),
91 context->getInputShape(kInputTensor1), context->getInputBuffer<bool8>(kInputTensor2),
92 context->getInputShape(kInputTensor2), context->getOutputBuffer<bool8>(kOutputTensor),
93 context->getOutputShape(kOutputTensor));
94 }
95
96 } // namespace logical
97
98 NN_REGISTER_OPERATION(LOGICAL_AND, "LOGICAL_AND", logical::validate, logical::prepare,
99 logical::executeAnd);
100 NN_REGISTER_OPERATION(LOGICAL_OR, "LOGICAL_OR", logical::validate, logical::prepare,
101 logical::executeOr);
102
103 } // namespace nn
104 } // namespace android
105