code: def placeholder(shape, dtype=None, name="placeholder"):
      """Construct an empty tensor object.
  
      Parameters
      ----------
      shape: Tuple of Expr
          The shape of the tensor
  
      dtype: str, optional
          The data type of the tensor
  
      name: str, optional
          The name hint of the tensor
  
      Returns
      -------
      tensor: Tensor
          The created tensor
      """
      shape = (shape,) if isinstance(shape, tvm.tir.PrimExpr) else shape
      dtype = "float32" if dtype is None else dtype
      return _ffi_api.Placeholder(shape, dtype, name)
  
imports: import inspect
  from numbers import Integral
  from typing import List, Optional
  import tvm._ffi
  import tvm.arith._ffi_api
  import tvm.tir
  import tvm.tir._ffi_api
  from tvm._ffi.base import string_types
  from tvm.ir import Array
  from tvm.runtime import convert
  from .None import _ffi_api
  from .None import tag
  from .None import tensor
label_desc: Use image node_id 1 for calling a global function with example usage: placeholder(shape, dtype, name) and returns: _ffi_api