code: def conv3d_impl(
      input,
      weight,
      bias=None,
      stride=_triple(1),
      padding=_triple(0),
      dilation=_triple(1),
      groups=1,
  ):
      if bias is None:
          return F.conv3d(
              input,
              weight,
              stride=stride,
              padding=padding,
              dilation=dilation,
              groups=groups,
          )
      else:
          return F.conv3d(
              input,
              weight,
              stride=stride,
              padding=padding,
              dilation=dilation,
              groups=groups,
          ) + bias.reshape((-1, 1, 1, 1))
  
file_path: ColossalAI/colossalai/_analyzer/fx/tracer/bias_addition.py
imports: import torch
  import torch.nn.functional
  from torch.nn.modules.utils import _pair, _single, _triple
  from .tracer import register_tracer_impl
label_desc: Use image node_id 4 for calling a global function with example usage: conv3d_impl(input, weight, bias, stride, padding, dilation, groups) and returns: F, unknown