1 /** 2 * Copyright 2021 Huawei Technologies Co., Ltd 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 #include <vector> 18 #include "coder/opcoders/op_coder.h" 19 #include "coder/opcoders/parallel.h" 20 21 namespace mindspore::lite::micro { ~OperatorCoder()22OperatorCoder::~OperatorCoder() { 23 node_ = nullptr; 24 if (parameter_ != nullptr) { 25 free(parameter_); 26 } 27 parameter_ = nullptr; 28 } 29 input_tensors() const30const std::vector<Tensor *> OperatorCoder::input_tensors() const { return input_tensors_; } 31 output_tensors() const32const std::vector<Tensor *> OperatorCoder::output_tensors() const { return output_tensors_; } 33 set_input_tensor_indices(const std::vector<uint32_t> & input_indices)34void OperatorCoder::set_input_tensor_indices(const std::vector<uint32_t> &input_indices) { 35 input_tensor_indices_ = input_indices; 36 } 37 set_output_tensor_indices(const std::vector<uint32_t> & output_indices)38void OperatorCoder::set_output_tensor_indices(const std::vector<uint32_t> &output_indices) { 39 output_tensor_indices_ = output_indices; 40 } 41 input_tensor_indices() const42const std::vector<uint32_t> OperatorCoder::input_tensor_indices() const { return input_tensor_indices_; } 43 output_tensor_indices() const44const std::vector<uint32_t> OperatorCoder::output_tensor_indices() const { return output_tensor_indices_; } 45 set_parameter(OpParameter * parameter)46void OperatorCoder::set_parameter(OpParameter *parameter) { this->parameter_ = parameter; } 47 node_index() const48size_t OperatorCoder::node_index() const { return node_index_; } 49 set_thread_num(int thread_num)50void OperatorCoder::set_thread_num(int thread_num) { 51 thread_num_ = thread_num; 52 support_parallel_ = thread_num_ == kMaxThreadNumSupported; 53 } 54 } // namespace mindspore::lite::micro 55