code: def _pad_to(M, K, N, PADDING):
      dm, dk, dn = 0, 0, 0
  
      if M % PADDING[0] != 0:
          M_ = ((M + PADDING[0]) // PADDING[0]) * PADDING[0]
          dm = M_ - M
      if K % PADDING[1] != 0:
          K_ = ((K + PADDING[1]) // PADDING[1]) * PADDING[1]
          dk = K_ - K
      if N % PADDING[2] != 0:
          N_ = ((N + PADDING[2]) // PADDING[2]) * PADDING[2]
          dn = N_ - N
  
      return dm, dk, dn
  
file_path: tvm/python/tvm/topi/cuda/tensorcore_alter_op.py
imports: import logging
  import math
  from tvm import relay, tir
  from ..None import nn
label_desc: Use image node_id 5 for calling a global function with example usage: _pad_to(M, K, N, PADDING) and returns: dm,  dk,  dn