class_docstr: Simplified version of :class:`Conv1dLayer`.
  
  Parameters
  ----------
  n_filter : int
      The number of filters
  filter_size : int
      The filter size
  stride : int
      The stride step
  dilation_rate : int
      Specifying the dilation rate to use for dilated convolution.
  act : activation function
      The function that is applied to the layer activations
  padding : str
      The padding algorithm type: "SAME" or "VALID".
  data_format : str
      "channel_last" (NWC, default) or "channels_first" (NCW).
  W_init : initializer
      The initializer for the weight matrix.
  b_init : initializer or None
      The initializer for the bias vector. If None, skip biases.
  in_channels : int
      The number of in channels.
  name : None or str
      A unique layer name
  
  Examples
  --------
  With TensorLayer
  
  >>> net = tl.layers.Input([8, 100, 1], name='input')
  >>> conv1d = tl.layers.Conv1d(n_filter=32, filter_size=5, stride=2, b_init=None, in_channels=1, name='conv1d_1')
  >>> print(conv1d)
  >>> tensor = tl.layers.Conv1d(n_filter=32, filter_size=5, stride=2, act=tf.nn.relu, name='conv1d_2')(net)
  >>> print(tensor)
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code: def __repr__(self):
      actstr = (
          self.act.__name__ if self.act is not None else "No Activation"
      )
      s = (
          "{classname}(in_channels={in_channels}, out_channels={n_filter}, kernel_size={filter_size}"
          ", stride={stride}, padding={padding}"
      )
      if self.dilation_rate != 1:
          s += ", dilation={dilation_rate}"
      if self.b_init is None:
          s += ", bias=False"
      s += ", " + actstr
      if self.name is not None:
          s += ", name='{name}'"
      s += ")"
      return s.format(
          classname=self.__class__.__name__, **self.__dict__
      )
  
imports: import tensorflow
  import tensorlayer
  from tensorlayer import logging
  from tensorlayer.decorators import deprecated_alias
  from tensorlayer.layers.core import Layer
  from tensorlayer.layers.utils import get_collection_trainable
label_desc: Use image node_id 2 for calling the Conv1d obj's underlying member method code with example usage: obj.__repr__() and returns: s