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mindspore/nn/wrap/cell_wrapper.py

@@ -157,8 +157,23 @@ class TrainOneStepCell(Cell):
         >>> net = Net()
         >>> loss_fn = nn.SoftmaxCrossEntropyWithLogits()
         >>> optim = nn.Momentum(net.trainable_params(), learning_rate=0.1, momentum=0.9)
+        >>> #1) Using the WithLossCell existing provide
         >>> loss_net = nn.WithLossCell(net, loss_fn)
         >>> train_net = nn.TrainOneStepCell(loss_net, optim)
+        >>>
+        >>> #2) Using user-defined WithLossCell
+        >>>class MyWithLossCell(nn.cell):
+        >>>    def __init__(self, backbone, loss_fn):
+        >>>        super(WithLossCell, self).__init__(auto_prefix=False)
+        >>>        self._backbone = backbone
+        >>>        self._loss_fn = loss_fn
+        >>>
+        >>>    def construct(self, x, y, label):
+        >>>        out = self._backbone(x, y)
+        >>>        return self._loss_fn(out, label)
+        >>>
+        >>> loss_net = MyWithLossCell(net, loss_fn)
+        >>> train_net = nn.TrainOneStepCell(loss_net, optim)
     """
     def __init__(self, network, optimizer, sens=1.0):
         super(TrainOneStepCell, self).__init__(auto_prefix=False)