Paddle2.0rc中的paddle.metric.Accuracy,pred,label只能用二维吗？高级接口也没有说明文档的用法，不太会使用，总是报错

Epoch 1/200

---------------------------------------------------------------------------EnforceNotMet Traceback (most recent call last) in
21 epochs = args["epochs"],
22 batch_size=args["batch_size"],
---> 23 verbose=1)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/hapi/model.py in fit(self, train_data, eval_data, batch_size, epochs, eval_freq, log_freq, save_dir, save_freq, verbose, drop_last, shuffle, num_workers, callbacks)
1467
1468 cbks.on_epoch_begin(epoch)
-> 1469 logs = self._run_one_epoch(train_loader, cbks, 'train')
1470 cbks.on_epoch_end(epoch, logs)
1471
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/hapi/model.py in _run_one_epoch(self, data_loader, callbacks, mode, logs)
1837 if mode != 'test':
1838 outs = getattr(self, mode + '_batch')(data[:len(self._inputs)],
-> 1839 data[len(self._inputs):])
1840 if self._metrics and self._loss:
1841 metrics = l[0] for l in outs[0]
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/hapi/model.py in train_batch(self, inputs, labels)
935 print(loss)
936 """
--> 937 loss = self._adapter.train_batch(inputs, labels)
938 if fluid.in_dygraph_mode() and self._input_shapes is None:
939 self._update_inputs()
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/hapi/model.py in train_batch(self, inputs, labels)
668 metrics = []
669 for metric in self.model._metrics:
--> 670 metric_outs = metric.compute((to_list(outputs) + labels))
671 m = metric.update( [to_numpy(m) for m in to_list(metric_outs)])
672 metrics.append(m)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/metric/metrics.py in compute(self, pred, label, *args)
245 """
246 pred = paddle.argsort(pred, descending=True)[:, :self.maxk]
--> 247 correct = pred == label
248 return paddle.cast(correct, dtype='float32')
249
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/math_op_patch.py inimpl(self, other_var)
183 axis = -1
184 math_op = getattr(core.ops, op_type)
--> 185 return math_op(self, other_var, 'axis', axis)
186
187 comment = OpProtoHolder.instance().get_op_proto(op_type).comment
EnforceNotMet:

Error Message Summary:

InvalidArgumentError: Broadcast dimension mismatch. Operands could not be broadcast together with the shape of X = [32, 1] and the shape of Y = [32, 160, 160]. Received [32] in X is not equal to [160] in Y at i:1.
[Hint: Expected x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1 == true, but received x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1:0 != true:1.] (at /paddle/paddle/fluid/operators/elementwise/elementwise_op_function.h:160)
[operator < equal > error]