class_docstr: Applies the relu^2 activation introduced in https://arxiv.org/abs/2109.08668v2
class_docstr_tok: ["Applies","the","relu^2","activation","introduced","in","https",":","\/\/arxiv.org\/abs\/2109.08668v2"]
code: def forward(self, input):
      relu_applied = nn.functional.relu(input)
      squared = torch.square(relu_applied)
      return squared
  
imports: import math
  import warnings
  from collections import OrderedDict
  import torch
  from packaging import version
  from torch import Tensor, nn
  from .utils import logging
label_desc: Use image node_id 1 for calling the ReLUSquaredActivation obj's underlying member method code with example usage: obj.forward(input) and returns: squared