LazyInstanceNorm1d
class torch.nn.LazyInstanceNorm1d(eps=1e-05, momentum=0.1, affine=True, track_running_stats=True, device=None, dtype=None)
A "torch.nn.InstanceNorm1d" module with lazy initialization of the
   "num_features" argument of the "InstanceNorm1d" that is inferred
   from the "input.size(1)". The attributes that will be lazily
   initialized are weight, bias, running_mean and running_var.
Check the "torch.nn.modules.lazy.LazyModuleMixin" for further
   documentation on lazy modules and their limitations.
Parameters:
      * num_features -- C from an expected input of size (N, C, L)
        or (C, L)
  * **eps** (*float*) -- a value added to the denominator for
    numerical stability. Default: 1e-5

  * **momentum** (*float*) -- the value used for the running_mean
    and running_var computation. Default: 0.1

  * **affine** (*bool*) -- a boolean value that when set to
    "True", this module has learnable affine parameters,
