Method clear_gradient

python/paddle/base/framework.py:2074–2108

**Notes**: **1. This API is ONLY available in Dygraph mode** **2. Use it only Variable has gradient, normally we use this for Parameters since other temporal Variable will be deleted by Python's GC** Clear (set to ``0`` ) the Gradient of Current Variable

(self)

    @fake_interface_only
    def clear_gradient(self):
        """
        **Notes**:
            **1. This API is ONLY available in Dygraph mode**

            **2. Use it only Variable has gradient, normally we use this for Parameters since other temporal Variable will be deleted by Python's GC**

        Clear  (set to ``0`` ) the Gradient of Current Variable

        Returns:  None

        Examples:
            .. code-block:: pycon

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

                >>> x = np.ones([2, 2], np.float32)
                >>> inputs2 = []
                >>> for _ in range(10):
                >>>     tmp = paddle.to_tensor(x)
                >>>     tmp.stop_gradient=False
                >>>     inputs2.append(tmp)
                >>> ret2 = paddle.add_n(inputs2)
                >>> loss2 = paddle.sum(ret2)
                >>> loss2.retain_grads()
                >>> loss2.backward()
                >>> print(loss2.gradient())
                >>> loss2.clear_gradient()
                >>> print("After clear {}".format(loss2.gradient()))
                1.0
                After clear 0.0
        """
        pass

    def register_hook(self, hook):
        import paddle