weixin_4412 2020-06-22 14:45 采纳率: 0%
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autokeras在fit的时候怎么会**kwargs, AttributeError: 'tuple' object has no attribute 'shape'报错??

刚配好autokeras环境准备跑一下mnist简单试一下,
但是在fit的时候就会报错

from keras.datasets import mnist
from autokeras import ImageClassifier
#下载数据
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = x_train.reshape(x_train.shape + (1,))
x_test = x_test.reshape(x_test.shape + (1,))

# Initialize the ImageClassifier.
clf = ak.ImageClassifier(max_trials=3)
# Search for the best model.
clf.fit(x_train, y_train, epochs=3, time_limit=10*60)

报错信息为:

Epoch 1/3
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-10-42cb2b350dcc> in <module>
      1 # Search for the best model.
----> 2 clf.fit(x_train, y_train, epochs=3)

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/autokeras/tasks/image.py in fit(self, x, y, epochs, callbacks, validation_split, validation_data, **kwargs)
    120                     validation_split=validation_split,
    121                     validation_data=validation_data,
--> 122                     **kwargs)
    123 
    124 

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/autokeras/auto_model.py in fit(self, x, y, batch_size, epochs, callbacks, validation_split, validation_data, **kwargs)
    256                           validation_data=validation_data,
    257                           fit_on_val_data=self._split_dataset,
--> 258                           **kwargs)
    259 
    260     def _process_x(self, x, fit):

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/autokeras/engine/tuner.py in search(self, callbacks, fit_on_val_data, **fit_kwargs)
    112             new_callbacks.append(tf.keras.callbacks.EarlyStopping(patience=10))
    113 
--> 114         super().search(callbacks=new_callbacks, **fit_kwargs)
    115 
    116         # Fully train the best model with original callbacks.

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/kerastuner/engine/base_tuner.py in search(self, *fit_args, **fit_kwargs)
    128 
    129             self.on_trial_begin(trial)
--> 130             self.run_trial(trial, *fit_args, **fit_kwargs)
    131             self.on_trial_end(trial)
    132         self.on_search_end()

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/autokeras/engine/tuner.py in run_trial(self, trial, x, *fit_args, **fit_kwargs)
     69             model = self.hypermodel.build(trial.hyperparameters)
     70             utils.adapt_model(model, x)
---> 71             history = model.fit(x, *fit_args, **copied_fit_kwargs)
     72             for metric, epoch_values in history.history.items():
     73                 if self.oracle.objective.direction == 'min':

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py in _method_wrapper(self, *args, **kwargs)
     64   def _method_wrapper(self, *args, **kwargs):
     65     if not self._in_multi_worker_mode():  # pylint: disable=protected-access
---> 66       return method(self, *args, **kwargs)
     67 
     68     # Running inside `run_distribute_coordinator` already.

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)
    846                 batch_size=batch_size):
    847               callbacks.on_train_batch_begin(step)
--> 848               tmp_logs = train_function(iterator)
    849               # Catch OutOfRangeError for Datasets of unknown size.
    850               # This blocks until the batch has finished executing.

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/eager/def_function.py in __call__(self, *args, **kwds)
    578         xla_context.Exit()
    579     else:
--> 580       result = self._call(*args, **kwds)
    581 
    582     if tracing_count == self._get_tracing_count():

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/eager/def_function.py in _call(self, *args, **kwds)
    625       # This is the first call of __call__, so we have to initialize.
    626       initializers = []
--> 627       self._initialize(args, kwds, add_initializers_to=initializers)
    628     finally:
    629       # At this point we know that the initialization is complete (or less

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/eager/def_function.py in _initialize(self, args, kwds, add_initializers_to)
    504     self._concrete_stateful_fn = (
    505         self._stateful_fn._get_concrete_function_internal_garbage_collected(  # pylint: disable=protected-access
--> 506             *args, **kwds))
    507 
    508     def invalid_creator_scope(*unused_args, **unused_kwds):

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/eager/function.py in _get_concrete_function_internal_garbage_collected(self, *args, **kwargs)
   2444       args, kwargs = None, None
   2445     with self._lock:
-> 2446       graph_function, _, _ = self._maybe_define_function(args, kwargs)
   2447     return graph_function
   2448 

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/eager/function.py in _maybe_define_function(self, args, kwargs)
   2775 
   2776       self._function_cache.missed.add(call_context_key)
-> 2777       graph_function = self._create_graph_function(args, kwargs)
   2778       self._function_cache.primary[cache_key] = graph_function
   2779       return graph_function, args, kwargs

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/eager/function.py in _create_graph_function(self, args, kwargs, override_flat_arg_shapes)
   2665             arg_names=arg_names,
   2666             override_flat_arg_shapes=override_flat_arg_shapes,
-> 2667             capture_by_value=self._capture_by_value),
   2668         self._function_attributes,
   2669         # Tell the ConcreteFunction to clean up its graph once it goes out of

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/framework/func_graph.py in func_graph_from_py_func(name, python_func, args, kwargs, signature, func_graph, autograph, autograph_options, add_control_dependencies, arg_names, op_return_value, collections, capture_by_value, override_flat_arg_shapes)
    979         _, original_func = tf_decorator.unwrap(python_func)
    980 
--> 981       func_outputs = python_func(*func_args, **func_kwargs)
    982 
    983       # invariant: `func_outputs` contains only Tensors, CompositeTensors,

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/eager/def_function.py in wrapped_fn(*args, **kwds)
    439         # __wrapped__ allows AutoGraph to swap in a converted function. We give
    440         # the function a weak reference to itself to avoid a reference cycle.
--> 441         return weak_wrapped_fn().__wrapped__(*args, **kwds)
    442     weak_wrapped_fn = weakref.ref(wrapped_fn)
    443 

/opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/framework/func_graph.py in wrapper(*args, **kwargs)
    966           except Exception as e:  # pylint:disable=broad-except
    967             if hasattr(e, "ag_error_metadata"):
--> 968               raise e.ag_error_metadata.to_exception(e)
    969             else:
    970               raise

AttributeError: in user code:

    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py:571 train_function  *
        outputs = self.distribute_strategy.run(
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/distribute/distribute_lib.py:951 run  **
        return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/distribute/distribute_lib.py:2290 call_for_each_replica
        return self._call_for_each_replica(fn, args, kwargs)
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/distribute/distribute_lib.py:2649 _call_for_each_replica
        return fn(*args, **kwargs)
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py:543 train_step  **
        self.compiled_metrics.update_state(y, y_pred, sample_weight)
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/keras/engine/compile_utils.py:391 update_state
        self._build(y_pred, y_true)
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/keras/engine/compile_utils.py:322 _build
        self._metrics, y_true, y_pred)
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/util/nest.py:1118 map_structure_up_to
        **kwargs)
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/util/nest.py:1214 map_structure_with_tuple_paths_up_to
        *flat_value_lists)]
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/util/nest.py:1213 <listcomp>
        results = [func(*args, **kwargs) for args in zip(flat_path_list,
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/util/nest.py:1116 <lambda>
        lambda _, *values: func(*values),  # Discards the path arg.
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/keras/engine/compile_utils.py:421 _get_metric_objects
        return [self._get_metric_object(m, y_t, y_p) for m in metrics]
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/keras/engine/compile_utils.py:421 <listcomp>
        return [self._get_metric_object(m, y_t, y_p) for m in metrics]
    /opt/anaconda3/envs/ak-env/lib/python3.6/site-packages/tensorflow/python/keras/engine/compile_utils.py:442 _get_metric_object
        y_t_rank = len(y_t.shape.as_list())

    AttributeError: 'tuple' object has no attribute 'shape'

在最后有说AttributeError: 'tuple' object has no attribute 'shape',但是我没有对示例代码或数据集做任何其他的修改,不懂这个错误是怎么出来的。

想过可能是keras版本过高,从2.4降到2.3还是不行。python也是autokeras唯一可用的3.6。tensorflow2.2。感觉这些应该都没问题啊?

求求大佬帮忙

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2条回答 默认 最新

  • cssgdhl 2021-02-23 16:44
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    同问

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