code: def pad_addmm(
      input: Optional[Tensor],
      mat1: Tensor,
      mat2: Tensor,
      m_padded_length: int,
      k_padded_length: int,
      n_padded_length: int,
      beta=1.0,
      alpha=1.0,
  ):
      # addmm decomp with padding will go through pad_addmm multiple times if multiple dimensions are needed to be padded
      if k_padded_length != 0:
          mat1 = pad_dim(mat1, k_padded_length, 1)
          mat2 = pad_dim(mat2, k_padded_length, 0)
      elif n_padded_length != 0:
          mat2 = pad_dim(mat2, n_padded_length, 1)
      elif m_padded_length != 0:
          mat1 = pad_dim(mat1, m_padded_length, 0)
  
      # the add broadcasts, so we only pad if the dimension != 1
      if input is not None and k_padded_length == 0:
          if n_padded_length != 0:
              if input.dim() == 2 and input.shape[1] != 1:
                  input = pad_dim(input, n_padded_length, 1)
              elif input.dim() == 1 and input.shape[0] != 1:
                  input = pad_dim(input, n_padded_length, 0)
          elif (
              m_padded_length != 0
              and input.dim() == 2
              and input.shape[0] != 1
          ):
              input = pad_dim(input, m_padded_length, 0)
  
      if k_padded_length != 0:
          return addmm_replace(
              input, mat1, mat2, beta=beta, alpha=alpha
          )
      elif n_padded_length != 0:
          return addmm_replace(
              input, mat1, mat2, beta=beta, alpha=alpha
          )[:, :-n_padded_length]
      else:
          return addmm_replace(
              input, mat1, mat2, beta=beta, alpha=alpha
          )[:-m_padded_length, :]
  
imports: import functools
  from typing import List, Optional
  import torch
  from torch import Tensor
  from torch._inductor import utils
  from torch.utils._mode_utils import no_dispatch
  from torch.utils._triton import has_triton
  from ..pattern_matcher import fwd_only, joint_fwd_bwd, Match, register_replacement
label_desc: Use image node_id 12 for calling a global function with example usage: pad_addmm(input, mat1, mat2, m_padded_length, k_padded_length, n_padded_length, beta, alpha) and returns: addmm_replace, addmm_replace, addmm_replace