AttributeError: 'numpy.ndarray' 对象没有属性'get_shape'？

Question

因为我在运行 beginner.ipynb 从 谷歌对tensorflow的介绍 在本地，执行在

predictions = model(x_train[:1]).numpy()

并出现以下错误。

---

AttributeError                            Traceback (most recent call last)

<ipython-input-15-6d3178b039b4> in <module>
----> 1 predictions = model(x_train[:1]).numpy()
      2 # print( type( predictions ) )
      3 # predictions = tf.convert_to_tensor( model(x_train[:1]) )
      4 predictions
      5 

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in __call__(self, inputs, *args, **kwargs)
    590       else:
    591         # Eager execution on data tensors.
--> 592         outputs = self.call(inputs, *args, **kwargs)
    593         self._handle_activity_regularization(inputs, outputs)
    594         return outputs

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\sequential.py in call(self, inputs, training, mask)
    228   def call(self, inputs, training=None, mask=None):
    229     if self._is_graph_network:
--> 230       return super(Sequential, self).call(inputs, training=training, mask=mask)
    231 
    232     outputs, _ = self._call_and_compute_mask(

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\network.py in call(self, inputs, training, mask)
    813     outputs, _ = self._run_internal_graph(inputs,
    814                                           training=training,
--> 815                                           mask=masks)
    816     return outputs
    817 

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\network.py in _run_internal_graph(self, inputs, training, mask)
   1000                   output_tensors = layer(computed_tensor, **kwargs)
   1001                 else:
-> 1002                   output_tensors = layer.call(computed_tensor, **kwargs)
   1003                 if hasattr(layer, 'compute_mask'):
   1004                   output_masks = layer.compute_mask(computed_tensor,

C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\layers\core.py in call(self, inputs)
    553                  array_ops.shape(inputs)[0], -1))
    554     if not context.executing_eagerly():
--> 555       outputs.set_shape(self.compute_output_shape(inputs.get_shape()))
    556     return outputs
    557 

AttributeError: 'numpy.ndarray' object has no attribute 'get_shape'

我发现一个类似的问题 此处 但无法应用建议的修复方法。

我应该如何让代码工作？为什么同样的代码在collab上运行正常，但在我的本地机器上却失败了？

Answer 1

答案，如上文所述，是使用 tensorflow2. 虽然不可能找到这个问题的根本原因，但它似乎可能是源于在 tensorflow1.x.

见 这里的变化 的 1.x与2.x