code: def multi_mean(input, axes, keepdim=False):
      """
      Performs `torch.mean` over multiple dimensions of `input`.
      """
      axes = sorted(axes)
      m = input
      for axis in reversed(axes):
          m = m.mean(axis, keepdim)
      return m
  
file_path: speechbrain/speechbrain/nnet/complex_networks/c_ops.py
imports: import torch
  import torch.nn.functional
  import numpy
label_desc: Use image node_id 11 for calling a global function with example usage: multi_mean(input, axes, keepdim) and returns: m