class_docstr: Schedule for all the stages.
class_docstr_tok: ["Schedule","for","all","the","stages","."]
docstr: Create stage group by giving output and input boundary.
  
  The operators between outputs and inputs are placed as member of group.
  outputs are include in the group, while inputs are not included.
  
  Parameters
  ----------
  outputs : list of Tensors
      The outputs of the group.
  
  inputs : list of Tensors
      The inputs of the group.
  
  include_inputs : boolean, optional
      Whether include input operations in the group if they are used by outputs.
  
  Returns
  -------
  group : Stage
      A virtual stage represents the group, user can use compute_at to move
      the attachment point of the group.
code: def create_group(self, outputs, inputs, include_inputs=False):
      """Create stage group by giving output and input boundary.
  
      The operators between outputs and inputs are placed as member of group.
      outputs are include in the group, while inputs are not included.
  
      Parameters
      ----------
      outputs : list of Tensors
          The outputs of the group.
  
      inputs : list of Tensors
          The inputs of the group.
  
      include_inputs : boolean, optional
          Whether include input operations in the group if they are used by outputs.
  
      Returns
      -------
      group : Stage
          A virtual stage represents the group, user can use compute_at to move
          the attachment point of the group.
      """
      if isinstance(outputs, _tensor.Tensor):
          outputs = [outputs]
      if isinstance(inputs, _tensor.Tensor):
          inputs = [inputs]
      return _ffi_api.ScheduleCreateGroup(
          self, outputs, inputs, include_inputs
      )
  
imports: import collections
  import inspect
  from typing import Callable, List
  import tvm._ffi
  from tvm._ffi.base import string_types
  from tvm.ir import container
  from tvm.runtime import Object, convert
  from tvm.tir import Buffer, IndexMap, IterVar, Var
  from .None import _ffi_api
  from .None import tensor
label_desc: Use image node_id 3 for calling the Schedule obj's underlying member method code with example usage: obj.create_group(outputs, inputs, include_inputs) and returns: _ffi_api