/* * Copyright (C) 2018 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #define LOG_TAG "Operations" #include "OperationResolver.h" #include "OperationsUtils.h" namespace android { namespace nn { namespace logical_not { constexpr uint32_t kNumInputs = 1; constexpr uint32_t kInputTensor = 0; constexpr uint32_t kNumOutputs = 1; constexpr uint32_t kOutputTensor = 0; namespace { bool compute(const bool8* input, const Shape& shape, bool8* output) { const auto size = getNumberOfElements(shape); for (uint32_t i = 0; i < size; ++i) { output[i] = input[i] == 0; } return true; } } // namespace bool validate(const IOperationValidationContext* context) { NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); OperandType inputType = context->getInputType(kInputTensor); NN_RET_CHECK(inputType == OperandType::TENSOR_BOOL8) << "Unsupported tensor type for LOGICAL_NOT"; NN_RET_CHECK(validateInputTypes(context, {inputType})); NN_RET_CHECK(validateOutputTypes(context, {inputType})); return validateHalVersion(context, HalVersion::V1_2); } bool prepare(IOperationExecutionContext* context) { Shape input = context->getInputShape(kInputTensor); Shape output = context->getOutputShape(kOutputTensor); NN_RET_CHECK(SetShape(input, &output)); return context->setOutputShape(kOutputTensor, output); } bool execute(IOperationExecutionContext* context) { return compute(context->getInputBuffer<bool8>(kInputTensor), context->getInputShape(kInputTensor), context->getOutputBuffer<bool8>(kOutputTensor)); } } // namespace logical_not NN_REGISTER_OPERATION(LOGICAL_NOT, "LOGICAL_NOT", logical_not::validate, logical_not::prepare, logical_not::execute); } // namespace nn } // namespace android