code: def Mean(axis=-1, keepdims=False):
      """Returns a layer that computes mean values using one tensor axis.
  
      `Mean` uses one tensor axis to form groups of values and replaces each group
      with the mean value of that group. The resulting values can either remain
      in their own size 1 axis (`keepdims=True`), or that axis can be removed from
      the overall tensor (default `keepdims=False`), lowering the rank of the
      tensor by one.
  
      Args:
        axis: Axis along which values are grouped for computing a mean.
        keepdims: If `True`, keep the resulting size 1 axis as a separate tensor
            axis; else, remove that axis.
      """
      return Fn(
          "Mean", lambda x: jnp.mean(x, axis=axis, keepdims=keepdims)
      )
  
imports: from absl import logging
  import numpy
  import tensorflow
  from trax import fastmath
  from trax.fastmath import numpy
  from trax.layers import base
  from trax.layers import initializers
  from trax.layers.assert_shape import assert_shape
  from trax.layers.base import Fn
label_desc: Use image node_id 7 for calling a global function with example usage: Mean(axis, keepdims) and returns: Fn