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:
   */
  
  #include "softmax_kernel_ref.h"
  
  #include "graph/tensor.h"
  #include "graph/node.h"
  #include "graph/graph.h"
  #include "module/module.h"
  #include "operator/op.h"
  #include "utility/float.h"
  #include "utility/sys_port.h"
  #include "utility/log.h"
  #include "device/cpu/cpu_node.h"
  #include "device/cpu/cpu_graph.h"
  #include "device/cpu/cpu_module.h"
  
  int ref_softmax_fp32(struct tensor* input_tensor, struct tensor* output_tensor, int axis)
  {
      int element_size = input_tensor->elem_size;
      int type = input_tensor->data_type;
  
      int* dims = (int*)sys_malloc(input_tensor->dim_num * sizeof(int));
      for (int i = 0; i < input_tensor->dim_num; i++)
      {
          dims[i] = input_tensor->dims[i];
      }
  
      int out_size, in_size, on_size;
  
      out_size = 1;
      for (int i = 0; i < axis; i++)
      {
          out_size *= dims[i];
      }
  
      in_size = 1;
      for (size_t i = axis + 1; i < input_tensor->dim_num; i++)
      {
          in_size *= dims[i];
      }
      on_size = dims[axis];
  
      float* max_array = (float*)sys_malloc(in_size * sizeof(float));
      float* sum_array = (float*)sys_malloc(in_size * sizeof(float));
  
      int on_in_size = on_size * in_size;
  
      float* input = (float*)input_tensor->data;
      float* output = (float*)output_tensor->data;
  
      for (int i = 0; i < out_size; i++)
      {
          /* get max */
          int img_base = i * on_in_size;
  
          GetMaxArray(input + img_base, max_array, in_size, on_size);
          GetOutResult(input + img_base, output + img_base, max_array, sum_array, in_size, on_size);
      }
  
      sys_free(max_array);
      sys_free(sum_array);
  
      sys_free(dims);
      return 0;
  }
  