class_docstr: Hard Swish Module.
  
  This module applies the hard swish function:
  
  .. math::
      Hswish(x) = x * ReLU6(x + 3) / 6
  
  Args:
      inplace (bool): can optionally do the operation in-place.
          Default: False.
  
  Returns:
      Tensor: The output tensor.
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code: def forward(self, x):
      return x * self.act(x + 3) / 6
  
imports: import torch.nn
  from .registry import ACTIVATION_LAYERS
label_desc: Use image node_id 2 for calling the HSwish obj's underlying member method code with example usage: obj.forward(x) and returns: unknown