text: /*
   * Licensed to the Apache Software Foundation (ASF) under one
   * or more contributor license agreements.  See the NOTICE file
   * distributed with this work for additional information
   * regarding copyright ownership.  The ASF licenses this file
   * to you 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.
   */
  
  /*
   * Copyright (c) 2021, OPEN AI LAB
   * Author: qtang@openailab.com
   */
  
  #include "graph/tensor.h"
  #include "graph/node.h"
  #include "graph/graph.h"
  #include "utility/sys_port.h"
  #include "utility/float.h"
  #include "utility/log.h"
  #include "device/cpu/cpu_node.h"
  #include "device/cpu/cpu_graph.h"
  #include "device/cpu/cpu_module.h"
  
  #include <math.h>
  
  
  int ref_depthtospace_fp32(struct tensor* input_tensor, struct tensor* output_tensor, int num_thread)
  {
      float* input_data = (float*)input_tensor->data;
      float* out_data = (float*)output_tensor->data;
      int total_size = input_tensor->elem_num;
  
      for (int i = 0; i < total_size; i++)
      {
          out_data[i] = input_data[i];
      }
  
      return 0;
  }
  
  static int init_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
  {
      return 0;
  }
  
  static int release_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
  {
      return 0;
  }
  
  static int prerun(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
  {
      return 0;
  }
  
  static int run(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
  {
      struct node* ir_node = exec_node->ir_node;
      struct graph* ir_graph = ir_node->graph;
      struct tensor* input_tensor;
      struct tensor* output_tensor;
      int layout = ir_graph->graph_layout;
  
      input_tensor = get_ir_graph_tensor(ir_graph, ir_node->input_tensors[0]);
      output_tensor = get_ir_graph_tensor(ir_graph, ir_node->output_tensors[0]);
  
      int ret = ref_depthtospace_fp32(input_tensor, output_tensor, exec_graph->num_thread);
      if (ret != 0)
          return -1;
  
      return 0;
  }
  
  static int score(struct node_ops* node_ops, struct exec_graph* exec_graph, struct node* exec_node)
  {
      return OPS_SCORE_CANDO;
  }
  
  static struct node_ops hcl_node_ops = {.prerun = prerun,
                                         .run = run,
                                         .reshape = NULL,
                                         .postrun = NULL,
                                         .init_node = init_node,
                                         .release_node = release_node,
                                         .score = score};
  
  int register_depthtospace_ref_op()
  {
      return register_builtin_node_ops(OP_DEPTHTOSPACE, &hcl_node_ops);
  }
  
  int unregister_depthtospace_ref_op()
  {
      return unregister_builtin_node_ops(OP_DEPTHTOSPACE, &hcl_node_ops);
  }
  