Method stop_gradient

python/paddle/base/framework.py:2301–2331

Indicating if we stop gradient from current Variable **Notes: This Property has default value as** ``True`` **in** Dygraph **mode, while Parameter's default value is False. However, in Static Graph Mode all Variable's default stop_gradient value is** ``False`` Examples:

(self)

    @property
    def stop_gradient(self):
        """
        Indicating if we stop gradient from current Variable

        **Notes: This Property has default value as** ``True`` **in** Dygraph **mode, while Parameter's default value is False. However, in Static Graph Mode all Variable's default stop_gradient value is** ``False``

        Examples:
            .. code-block:: pycon

                >>> import paddle
                >>> import paddle.base as base
                >>> import numpy as np

                >>> with base.dygraph.guard():
                ...     value0 = np.arange(26).reshape(2, 13).astype("float32")
                ...     value1 = np.arange(6).reshape(2, 3).astype("float32")
                ...     value2 = np.arange(10).reshape(2, 5).astype("float32")
                ...     linear = paddle.nn.Linear(13, 5)
                ...     linear2 = paddle.nn.Linear(3, 3)
                ...     a = paddle.to_tensor(value0)
                ...     b = paddle.to_tensor(value1)
                ...     c = paddle.to_tensor(value2)
                ...     out1 = linear(a)
                ...     out2 = linear2(b)
                ...     out1.stop_gradient = True
                ...     out = paddle.concat(x=[out1, out2, c], axis=1)
                ...     out.backward()
                ...     assert linear.weight.gradient() is None
                ...     assert out1.gradient() is None
        """
        return self.desc.stop_gradient()

    @stop_gradient.setter
    def stop_gradient(self, s):