code: def Conv1d(
      in_channels,
      out_channels,
      kernel_size,
      stride=1,
      padding=0,
      dilation=1,
      groups=1,
      bias=True,
  ):
      return Conv2d(
          in_channels,
          out_channels,
          (kernel_size,),
          stride,
          padding,
          dilation,
          groups,
          bias,
      )
  
imports: import math
  from typing import Optional, Union, Tuple, cast
  from tinygrad.tensor import Tensor
  from tinygrad.helpers import prod
  from tinygrad.nn import optim, state
label_desc: Use image node_id 1 for calling a global function with example usage: Conv1d(in_channels, out_channels, kernel_size, stride, padding, dilation, groups, bias) and returns: Conv2d