original_docstring: r"""This is the slowpath function for Eager mode.
    This is for function symbolic_gradient
    
docstring: r"""This is the slowpath function for Eager mode.
  This is for function symbolic_gradient
docstring_tokens: r " " " This is the slowpath function for Eager mode . This is for function symbolic_gradient
code: def symbolic_gradient_eager_fallback(input, Tout, f, name=None, ctx=None):
    r"""This is the slowpath function for Eager mode.
    This is for function symbolic_gradient
    """
    _ctx = ctx if ctx else _context.context()
    if not isinstance(Tout, (list, tuple)):
      raise TypeError(
          "Expected list for 'Tout' argument to "
          "'symbolic_gradient' Op, not %r." % Tout)
    Tout = [_execute.make_type(_t, "Tout") for _t in Tout]
    _attr_Tin, input = _execute.convert_to_mixed_eager_tensors(input, _ctx)
    _inputs_flat = list(input)
    _attrs = ("Tin", _attr_Tin, "Tout", Tout, "f", f)
    _result = _execute.execute(b"SymbolicGradient", len(Tout),
                               inputs=_inputs_flat, attrs=_attrs, ctx=_ctx,
                               name=name)
    _execute.record_gradient(
        "SymbolicGradient", _inputs_flat, _attrs, _result, name)
    return _result
code_tokens: def symbolic_gradient_eager_fallback ( input , Tout , f , name = None , ctx = None ) : _ctx = ctx if ctx else _context . context ( ) if not isinstance ( Tout , ( list , tuple ) ) : raise TypeError ( "Expected list for 'Tout' argument to " "'symbolic_gradient' Op, not %r." % Tout ) Tout = [ _execute . make_type ( _t , "Tout" ) for _t in Tout ] _attr_Tin , input = _execute . convert_to_mixed_eager_tensors ( input , _ctx ) _inputs_flat = list ( input ) _attrs = ( "Tin" , _attr_Tin , "Tout" , Tout , "f" , f ) _result = _execute . execute ( b"SymbolicGradient" , len ( Tout ) , inputs = _inputs_flat , attrs = _attrs , ctx = _ctx , name = name ) _execute . record_gradient ( "SymbolicGradient" , _inputs_flat , _attrs , _result , name ) return _result
short_docstring: r"""This is the slowpath function for Eager mode.
short_docstring_tokens: r " " " This is the slowpath function for Eager mode .
comment: r"""This is the slowpath function for Eager mode.
    This is for function symbolic_gradient
    """