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