(objs, axis=0, np_module=np)
return nested_map(
      lambda x: np_module.stack(x, axis=axis),
      nested_zip(objs),
      level=1,
  )
Stacks the numpy arrays inside any dicts/lists/tuples in `objs`.

  Args:
    objs: List of nested structures to stack.
    axis: Axis to stack along.
    np_module: numpy module to use - typically numpy or jax.numpy.

  Returns:
    An object with the same nested structure as each element of `objs`, with
    leaves stacked together into numpy arrays. Nones are propagated, i.e. if
    each element of the stacked sequence is None, the output will be None.
Stacks the numpy arrays inside any dicts/lists/tuples in `objs`.
Stacks the numpy arrays inside any dicts / lists / tuples in objs .
def nested_stack(objs, axis=0, np_module=np):
  """Stacks the numpy arrays inside any dicts/lists/tuples in `objs`.

  Args:
    objs: List of nested structures to stack.
    axis: Axis to stack along.
    np_module: numpy module to use - typically numpy or jax.numpy.

  Returns:
    An object with the same nested structure as each element of `objs`, with
    leaves stacked together into numpy arrays. Nones are propagated, i.e. if
    each element of the stacked sequence is None, the output will be None.
  """
  # nested_map the stacking operation, but stopping at level 1 so at tuples of
  # numpy arrays.
  return nested_map(
      lambda x: np_module.stack(x, axis=axis),
      nested_zip(objs),
      level=1,
  )
def nested_stack ( objs , axis = 0 , np_module = np ) : # nested_map the stacking operation, but stopping at level 1 so at tuples of # numpy arrays. return nested_map ( lambda x : np_module . stack ( x , axis = axis ) , nested_zip ( objs ) , level = 1 , )