ReLU6
class torch.ao.nn.quantized.ReLU6(inplace=False)
Applies the element-wise function:
\text{ReLU6}(x) = \min(\max(x_0, x), q(6)), where x_0 is the
   zero_point, and q(6) is the quantized representation of number 6.
Parameters:
      inplace (bool) -- can optionally do the operation in-
      place. Default: "False"
Shape:
      * Input: (N, *) where *** means, any number of additional
        dimensions
  * Output: (N, *), same shape as the input

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Examples:
  >>> m = nn.quantized.ReLU6()
  >>> input = torch.randn(2)
  >>> input = torch.quantize_per_tensor(input, 1.0, 0, dtype=torch.qint32)
  >>> output = m(input)
