在Google Colab上运行autokeras图像分类器教程时出错

Question

此处的autokeras教程https://colab.research.google.com/github/keras-team/autokeras/blob/master/docs/templates/tutorial/image_classification.ipynb

线路故障：

import autokeras as ak
# Initialize the image classifier.
clf = ak.ImageClassifier(max_trials=10) # It tries 10 different models.
# Feed the image classifier with training data.
clf.fit(x_train, y_train,epochs=3)

错误：

AttributeError: in user code:
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:503 train_function  *
outputs = self.distribute_strategy.run(
/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:951 run  **
return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2290 call_for_each_replica
return self._call_for_each_replica(fn, args, kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2649 _call_for_each_replica
return fn(*args, **kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:475 train_step  **
self.compiled_metrics.update_state(y, y_pred, sample_weight)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/compile_utils.py:386 update_state
self._build(y_pred, y_true)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/compile_utils.py:317 _build
self._metrics, y_true, y_pred)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py:1118 map_structure_up_to
**kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py:1214 map_structure_with_tuple_paths_up_to
*flat_value_lists)]
/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py:1213 <listcomp>
results = [func(*args, **kwargs) for args in zip(flat_path_list,
/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py:1116 <lambda>
lambda _, *values: func(*values),  # Discards the path arg.
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/compile_utils.py:416 _get_metric_objects
return [self._get_metric_object(m, y_t, y_p) for m in metrics]
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/compile_utils.py:416 <listcomp>
return [self._get_metric_object(m, y_t, y_p) for m in metrics]
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/compile_utils.py:437 _get_metric_object
y_t_rank = len(y_t.shape.as_list())
AttributeError: 'tuple' object has no attribute 'shape'

这是代码中的错误还是Google Colab设置中的错误？

Answer 1

问题不在于代码，我自己在本地机器上尝试过，它运行得很好。真正的问题是这条线

pip install tensorflow

这一行让pip全权负责选择要安装的tensorflow版本，遗憾的是，它选择安装rc版本tensorflow-2.2.0rc1，看起来autokeras有问题。

因此，要实现这一点，您所要做的就是将版本修复为已知可与autokeras一起使用的最新稳定tensorflow版本

pip install tensorflow==2.1.0

Answer 2

pip-install tensorflow==2.1.0和%tensorflow _version 2.x都没有帮助我。我仍然会遇到同样的错误。

您需要上面接受的答案中提到的2.1版本来消除错误。

我正在使用Google Colab

Answer 3

您也不需要再次安装TensorFlow 2.1。

您只需调用：即可选择

%tensorflow_version 2.x

Answer 4

我有TF 2.1.0，但仍然有相同的错误。代码运行在我的机器上，但不是在谷歌colab 上