class_docstr: A tensor intrinsic.
  
  Parameters
  ----------
  desc : PrimFunc
      The function to describe the computation.
  
  impl : PrimFunc
      The function of the implementation for the execution.
class_docstr_tok: ["A","tensor","intrinsic",".","Parameters","--","--","--","--","--","desc",":","PrimFunc","The","function","to","describe","the","computation",".","impl",":","PrimFunc","The","function","of","the","implementation","for","the","execution","."]
code: def __init__(self, desc, impl):
      self.__init_handle_by_constructor__(
          _ffi_api.TensorIntrin, desc, impl
      )
  
imports: import collections
  import inspect
  from typing import Callable, List, Mapping, Optional, Tuple, Union
  import tvm
  import tvm._ffi
  import tvm.runtime
  from tvm.ir import BaseFunc, Range
  from tvm.runtime import Object, Scriptable
  from ..runtime.ndarray import NDArray
  from .None import _ffi_api
  from .buffer import Buffer
  from .expr import PrimExpr, Var
label_desc: Use image node_id 1 to create a new TensorIntrin object from inherited base classes: Object with example: obj = TensorIntrin(desc, impl)