class_docstr: 1D convolution. Skip transpose is used to improve efficiency.
class_docstr_tok: ["1D","convolution",".","Skip","transpose","is","used","to","improve","efficiency","."]
code: def __init__(self, *args, **kwargs):
      super().__init__(skip_transpose=True, *args, **kwargs)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from speechbrain.dataio.dataio import length_to_mask
  from speechbrain.nnet.CNN import Conv1d
  from speechbrain.nnet.normalization import BatchNorm1d
  from speechbrain.nnet.linear import Linear
label_desc: Use image node_id 1 to create a new Conv1d object from inherited base classes: _Conv1d with example: obj = Conv1d()