class_docstr: A Stage represents schedule for one operation.
class_docstr_tok: ["A","Stage","represents","schedule","for","one","operation","."]
docstr: Tensorize the computation enclosed by var with tensor_intrin
  
  Parameters
  ----------
  var : IterVar
      The iteration boundary of tensorization.
  
  tensor_intrin : TensorIntrin
      The tensor intrinsic used for computation.
code: def tensorize(self, var, tensor_intrin):
      """Tensorize the computation enclosed by var with tensor_intrin
  
      Parameters
      ----------
      var : IterVar
          The iteration boundary of tensorization.
  
      tensor_intrin : TensorIntrin
          The tensor intrinsic used for computation.
      """
      _ffi_api.StageTensorize(self, var, tensor_intrin)
  
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 13 for calling the Stage obj's underlying member method code with example usage: obj.tensorize(var, tensor_intrin) without return types