code: def Conv1d(
      filters,
      kernel_size,
      stride=1,
      padding="VALID",
      kernel_initializer=None,
      bias_initializer=init.RandomNormalInitializer(1e-6),
      use_bias=True,
  ):
      return Conv(
          filters,
          (kernel_size,),
          strides=(stride,),
          padding=padding,
          dimension_numbers=("NWC", "WIO", "NWC"),
          kernel_initializer=kernel_initializer,
          bias_initializer=bias_initializer,
          use_bias=use_bias,
      )
  
imports: import functools
  import itertools
  import operator
  from trax import fastmath
  from trax.fastmath import numpy
  from trax.layers import base
  from trax.layers import initializers
label_desc: Use image node_id 1 for calling a global function with example usage: Conv1d(filters, kernel_size, stride, padding, kernel_initializer, bias_initializer, use_bias) and returns: Conv