code: def conv1d_transpose(
      x: Union[(None, mx.ndarray.NDArray)],
      filters: Union[(None, mx.ndarray.NDArray)],
      strides: Union[(int, Tuple[int])],
      padding: str,
      /,
      *,
      output_shape: Optional[
          Union[(ivy.NativeShape, Sequence[int])]
      ] = None,
      filter_format: str = "channel_last",
      data_format: str = "NWC",
      dilations: Union[(int, Tuple[int])] = 1,
      out: Optional[Union[(None, mx.ndarray.NDArray)]] = None,
  ):
      raise IvyNotImplementedException()
  
file_path: ivy/ivy/functional/backends/mxnet/layers.py
imports: import mxnet
  from typing import Optional, Tuple, Union, Sequence
  import ivy
  from ivy.utils.exceptions import IvyNotImplementedException
label_desc: Use image node_id 2 for calling a global function with example usage: conv1d_transpose() without return types