code: def torch_nn_convtranspose1d(self, input):
      # the output shape is calculated using the formula stated
      # at https://pytorch.org/docs/stable/generated/torch.nn.ConvTranspose1d.html
      l_in = input.shape[-1]
      c_out = self.out_channels
      l_out = math.floor(
          (l_in - 1) * self.stride[0]
          - 2 * self.padding[0]
          + self.dilation[0] * (self.kernel_size[0] - 1)
          + self.output_padding[0]
          + 1
      )
      result_shape = input.shape[:-2] + (
          c_out,
          l_out,
      )
      return torch.empty(result_shape, device="meta")
  
file_path: ColossalAI/colossalai/fx/tracer/meta_patch/patched_module/convolution.py
imports: import math
  import torch
  from ...registry import meta_patched_module
label_desc: Use image node_id 4 for calling a global function with example usage: torch_nn_convtranspose1d(input) and returns: torch