original_docstring: r"""This is the slowpath function for Eager mode.
    This is for function fake_param
    
docstring: r"""This is the slowpath function for Eager mode.
  This is for function fake_param
docstring_tokens: r " " " This is the slowpath function for Eager mode . This is for function fake_param
code: def fake_param_eager_fallback(dtype, shape, name=None, ctx=None):
    r"""This is the slowpath function for Eager mode.
    This is for function fake_param
    """
    _ctx = ctx if ctx else _context.context()
    dtype = _execute.make_type(dtype, "dtype")
    shape = _execute.make_shape(shape, "shape")
    _inputs_flat = []
    _attrs = ("dtype", dtype, "shape", shape)
    _result = _execute.execute(b"FakeParam", 1, inputs=_inputs_flat,
                               attrs=_attrs, ctx=_ctx, name=name)
    _execute.record_gradient(
        "FakeParam", _inputs_flat, _attrs, _result, name)
    _result, = _result
    return _result
code_tokens: def fake_param_eager_fallback ( dtype , shape , name = None , ctx = None ) : _ctx = ctx if ctx else _context . context ( ) dtype = _execute . make_type ( dtype , "dtype" ) shape = _execute . make_shape ( shape , "shape" ) _inputs_flat = [ ] _attrs = ( "dtype" , dtype , "shape" , shape ) _result = _execute . execute ( b"FakeParam" , 1 , inputs = _inputs_flat , attrs = _attrs , ctx = _ctx , name = name ) _execute . record_gradient ( "FakeParam" , _inputs_flat , _attrs , _result , name ) _result , = _result 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 fake_param
    """