mindspore2022/mindspore/lite/micro/coder/opcoders/op_coder.cc

/**
 * Copyright 2021 Huawei Technologies Co., Ltd
 *
 * 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.
 */

#include <vector>
#include "coder/opcoders/op_coder.h"
#include "coder/opcoders/parallel.h"

namespace mindspore::lite::micro {
OperatorCoder::~OperatorCoder() {
  node_ = nullptr;
  if (parameter_ != nullptr) {
    free(parameter_);
  }
  parameter_ = nullptr;
}

const std::vector<Tensor *> OperatorCoder::input_tensors() const { return input_tensors_; }

const std::vector<Tensor *> OperatorCoder::output_tensors() const { return output_tensors_; }

void OperatorCoder::set_input_tensor_indices(const std::vector<uint32_t> &input_indices) {
  input_tensor_indices_ = input_indices;
}

void OperatorCoder::set_output_tensor_indices(const std::vector<uint32_t> &output_indices) {
  output_tensor_indices_ = output_indices;
}

const std::vector<uint32_t> OperatorCoder::input_tensor_indices() const { return input_tensor_indices_; }

const std::vector<uint32_t> OperatorCoder::output_tensor_indices() const { return output_tensor_indices_; }

void OperatorCoder::set_parameter(OpParameter *parameter) { this->parameter_ = parameter; }

size_t OperatorCoder::node_index() const { return node_index_; }

void OperatorCoder::set_thread_num(int thread_num) {
  thread_num_ = thread_num;
  support_parallel_ = thread_num_ == kMaxThreadNumSupported;
}
}  // namespace mindspore::lite::micro