code: def conv1d_transpose(
      x,
      weight,
      bias=None,
      stride=1,
      padding=0,
      output_padding=0,
      groups=1,
      dilation=1,
      output_size=None,
      data_format="NCL",
      name=None,
  ):
      return _conv_transpose(
          x,
          weight,
          bias,
          stride,
          padding,
          output_padding,
          dilation,
          groups,
          data_format,
      )
  
file_path: ivy/ivy/functional/frontends/paddle/nn/functional/conv.py
imports: import ivy
  from ivy.func_wrapper import with_supported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
  from ivy.functional.frontends.torch.nn.functional import convolution_functions
label_desc: Use image node_id 5 for calling a global function with example usage: conv1d_transpose(x, weight, bias, stride, padding, output_padding, groups, dilation, output_size, data_format, name) and returns: _conv_transpose