class_docstr: A postprocessor that applies tensorization to annotated blocks.
  
  Parameters
  ----------
  vectorize_init_loop : bool
     Whether or not vectorize the initialization loop produced by DecomposeReduction
class_docstr_tok: ["A","postprocessor","that","applies","tensorization","to","annotated","blocks",".","Parameters","--","--","--","--","--","vectorize_init_loop",":","bool","Whether","or","not","vectorize","the","initialization","loop","produced","by","DecomposeReduction"]
code: def __init__(self, vectorize_init_loop=False) -> None:
      self.__init_handle_by_constructor__(
          _ffi_api.PostprocRewriteTensorize,  # type: ignore # pylint: disable=no-member
          vectorize_init_loop,
      )
  
imports: from tvm._ffi.registry import register_object
  from ..None import _ffi_api
  from .postproc import Postproc
label_desc: Use image node_id 1 to create a new RewriteTensorize object from inherited base classes: Postproc with example: obj = RewriteTensorize(vectorize_init_loop)