code: def reshape_1d(matrix, m):
      # If not a nice multiple of m, fill with zeroes.
      if matrix.shape[1] % m > 0:
          mat = torch.cuda.FloatTensor(
              matrix.shape[0],
              matrix.shape[1] + (m - matrix.shape[1] % m),
          ).fill_(0)
          mat[:, : matrix.shape[1]] = matrix
          shape = mat.shape
          return mat.view(-1, m), shape
      else:
          return matrix.view(-1, m), matrix.shape
  
file_path: apex/apex/contrib/sparsity/sparse_masklib.py
imports: import sys
  import torch
  import numpy
  import collections
  from itertools import permutations
label_desc: Use image node_id 2 for calling a global function with example usage: reshape_1d(matrix, m) and returns: mat,  shape, matrix,  matrix