Method backward

examples/msmlp/model.py:56–63

(self, dy=1.0)

        return loss

    def backward(self, dy=1.0):
        # dx = self.err
        dev = device.get_default_device()
        dx = tensor.Tensor(self.data_x.shape, dev, singa_dtype['float32'])
        dx.copy_from_numpy(np.ones(self.data_x.shape))
        # dx *= float(2 / self.n)
        dx *= dy
        return dx

def se_loss(x):
    # assert x.shape == t.shape, "input and target shape different: %s, %s" % (