code: def conv1d(
      ni: int,
      no: int,
      ks: int = 1,
      stride: int = 1,
      padding: int = 0,
      bias: bool = False,
  ):
      "Create and initialize a `nn.Conv1d` layer with spectral normalization."
      conv = nn.Conv1D(
          ni, no, ks, stride=stride, padding=padding, bias_attr=bias
      )
      return U.Spectralnorm(conv)
  
imports: import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.vision.models import resnet101
  from .None import utils
label_desc: Use image node_id 7 for calling a global function with example usage: conv1d(ni, no, ks, stride, padding, bias) and returns: U