code: def __init__(
      self,
      in_channels: int,
      out_channels: int,
      kernel_size: int = 3,
      stride: int = 1,
      dilation: int = 1,
      bias: bool = False,
      transpose: bool = False,
  ) -> None:
      super().__init__(
          in_channels,
          out_channels,
          kernel_size=kernel_size,
          stride=stride,
          dilation=dilation,
          bias=bias,
          transposed=True,
      )
  
file_path: torch-points3d/torch_points3d/modules/SparseConv3d/nn/torchsparse.py
imports: import torch
  import torchsparse
  import torchsparse.nn
label_desc: Use image node_id 1 to create a new Conv3dTranspose object from inherited base classes: TS.nn with example: obj = Conv3dTranspose(in_channels, out_channels, kernel_size, stride, dilation, bias, transpose)