Applies the hardswish function, element-wise, as described in the paper:
inplace – can optionally do the operation in-place. Default:
Input: , where means any number of dimensions.
Output: , same shape as the input.
>>> m = nn.Hardswish() >>> input = torch.randn(2) >>> output = m(input)