class_docstr: This class projects the input image to the same spatial dimensions as the feature map.
  For example, if the input image is 512 x512 x3 and spatial dimensions of feature map size are 56x56xF, then
  this class will generate an output of 56x56x3
docstr: :param input_: Input RGB Image
  :return: down-sampled image (pyramid-based approach)
docstr_tok: [":","param","input_",":","Input","RGB","Image",":","return",":","down-sampled","image","(","pyramid-based","approach",")"]
code: def forward(self, input_):
      """
      :param input_: Input RGB Image
      :return: down-sampled image (pyramid-based approach)
      """
      for pool in self.pool:
          input_ = pool(input_)
      return input_
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the InputProjectionA obj's underlying member method code with example usage: obj.forward(input_) and returns: input_