code: def conv2d(
      input,
      weight,
      bias=None,
      stride=1,
      padding=0,
      dilation=1,
      groups=1,
  ):
      return _conv(
          input,
          weight,
          bias=bias,
          stride=stride,
          padding=padding,
          dilation=dilation,
          groups=groups,
      )
  
file_path: ivy/ivy/functional/frontends/torch/nn/functional/convolution_functions.py
imports: import math
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 5 for calling a global function with example usage: conv2d(input, weight, bias, stride, padding, dilation, groups) and returns: _conv