Question

当前我遇到此错误，有人可以解决吗？

---------------------------------------------------------------------------
OperatorNotAllowedInGraphError            Traceback (most recent call last)
<ipython-input-24-0211c82920d0> in <module>
      7 warnings.filterwarnings("ignore")
      8 model.train(dataset_train,dataset_val, learning_rate=config.LEARNING_RATE,epochs=5,
----> 9             layers='heads')
/kaggle/working/maskrcnn/Mask_RCNN-master/mrcnn/model.py in train(self, train_dataset, val_dataset, learning_rate, epochs, layers, augmentation, custom_callbacks, no_augmentation_sources)
   2355         log("Checkpoint Path: {}".format(self.checkpoint_path))
   2356         self.set_trainable(layers)
-> 2357         self.compile(learning_rate, self.config.LEARNING_MOMENTUM)
   2358
   2359         # Work-around for Windows: Keras fails on Windows when using
/kaggle/working/maskrcnn/Mask_RCNN-master/mrcnn/model.py in compile(self, learning_rate, momentum)
   2168         for name in loss_names:
   2169             layer = self.keras_model.get_layer(name)
-> 2170             if layer.output in self.keras_model.losses:
   2171                 continue
   2172             loss = (
/opt/conda/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py in __bool__(self)
    763       `TypeError`.
    764     """
--> 765     self._disallow_bool_casting()
    766
    767   def __nonzero__(self):

/opt/conda/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py in _disallow_bool_casting(self)
    532     else:
    533       # Default: V1-style Graph execution.
--> 534       self._disallow_in_graph_mode("using a `tf.Tensor` as a Python `bool`")
    535
    536   def _disallow_iteration(self):

/opt/conda/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py in _disallow_in_graph_mode(self, task)
    521     raise errors.OperatorNotAllowedInGraphError(
    522         "{} is not allowed in Graph execution. Use Eager execution or decorate"
--> 523         " this function with @tf.function.".format(task))
    524
    525   def _disallow_bool_casting(self):

OperatorNotAllowedInGraphError: using a `tf.Tensor` as a Python `bool` is not allowed in Graph execution. Use Eager execution or decorate this function with @tf.function.

Answer 1

我对此也感到迷迷糊糊，因此我将解决这个问题的方法留给任何人使用。

由于tf升级到2.x，因此在急切的执行模式中会遇到一个问题，如果使用的是keras API损失和指标，则应实例化它们以进行编译。请参见下面的示例；

model.compile(optimizer="...", 
              loss=keras.losses.AnyLoss, 
              metrics=[keras.metrics.AnyMetric])

以上代码将给出OperatorNotAllowedInGraphError。为了克服这一点；

my_loss = keras.losses.AnyLoss(lr, *args, **kwargs)
my_metric = keras.metrics.AnyMetric(*args, **kwargs)

model.compile(optimizer,
              loss = my_loss
              metrics = [my_metric_1, my_metric_2...]

应该可以解决问题

Answer 2

如错误消息所述，您尝试使用tf.Tensor作为Python bool。这种情况通常发生在需要条件的地方，例如：

if layer.output in self.keras_model.losses:

layer.output in self.keras_model.losses部分应评估为一个张量，Python会尝试使用该张量来检查if条件。仅在急切执行时才允许这样做。

您必须将if构造转换为tf.cond，或依靠@tf.function为您完成工作。

没有更多代码，很难帮助您更多...

Answer 3

请参阅我的githut model.py，我已关注问题发布： https://github.com/matterport/Mask_RCNN/pull/1896/commits/8c36bf594c48c6a604231b0f91ebca9e9f386b64

，我的代码已更新： https://github.com/vincent0924/maskrcnn/blob/master/Mask_RCNN-master/mrcnn/model.py

但目前在Kaggle培训中遇到此问题：

    ---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-18-091d3220b55c> in <module>
      3 warnings.filterwarnings("ignore")
      4 model.train(dataset_train,dataset_val, learning_rate=config.LEARNING_RATE,epochs=5,
----> 5             layers='heads')

/kaggle/working/maskrcnn/Mask_RCNN-master/mrcnn/model.py in train(self, train_dataset, val_dataset, learning_rate, epochs, layers, augmentation, custom_callbacks, no_augmentation_sources)
   2357         log("Checkpoint Path: {}".format(self.checkpoint_path))
   2358         self.set_trainable(layers)
-> 2359         self.compile(learning_rate, self.config.LEARNING_MOMENTUM)
   2360 
   2361         # Work-around for Windows: Keras fails on Windows when using

/kaggle/working/maskrcnn/Mask_RCNN-master/mrcnn/model.py in compile(self, learning_rate, momentum)
   2175                 tf.reduce_mean(layer.output, keepdims=True)
   2176                 * self.config.LOSS_WEIGHTS.get(name, 1.))
-> 2177             self.keras_model.add_loss(loss)
   2178 
   2179         # Add L2 Regularization

/opt/conda/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/base_layer.py in add_loss(self, losses, inputs)
   1079       for symbolic_loss in symbolic_losses:
   1080         if getattr(self, '_is_graph_network', False):
-> 1081           self._graph_network_add_loss(symbolic_loss)
   1082         else:
   1083           # Possible a loss was added in a Layer's `build`.

/opt/conda/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/network.py in _graph_network_add_loss(self, symbolic_loss)
   1482     new_nodes.extend(add_loss_layer.inbound_nodes)
   1483     new_layers.append(add_loss_layer)
-> 1484     self._insert_layers(new_layers, new_nodes)
   1485 
   1486   def _graph_network_add_metric(self, value, aggregation, name):

/opt/conda/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/network.py in _insert_layers(self, layers, relevant_nodes)
   1437 
   1438     # Insert layers and update other layer attrs.
-> 1439     layer_set = set(self._layers)
   1440     for layer in layers:
   1441       if layer not in layer_set:

/opt/conda/lib/python3.6/site-packages/tensorflow_core/python/training/tracking/data_structures.py in __hash__(self)
    596     # List wrappers need to compare like regular lists, and so like regular
    597     # lists they don't belong in hash tables.
--> 598     raise TypeError("unhashable type: 'ListWrapper'")
    599 
    600   def insert(self, index, obj):

TypeError: unhashable type: 'ListWrapper'

在执行图形时，不允许将“ tf.Tensor”用作Python“ bool”。使用急切执行或用@ tf.function装饰此功能

3 个答案: