我正在尝试使用 keras 调谐器来调整 LSTM 神经网络，以使用 kaggle 数据集来检测文章是否是假新闻。但是，我不断收到此错误：RuntimeError：构建模型的尝试失败次数过多我也尝试使用 RandomSearch 而不是 BayesianOptimization，但仍然遇到相同类型的错误。
这是代码：
'''
def build_model(hp):
voc_size=5000
embedding_vector_features=40
model = Sequential([
Embedding(
voc_size,
embedding_vector_features,
input_length = sent_length
),
AlphaDropout(
rate = hp.Choice(
'dropout_1_rate',
values=[0.3, 0.5],
default=0.3
)
),
LSTM(
units = hp.Int(
'LSTM_1_units',
min_value=100,
max_value=300,
step=32,
default=128
),
activation = hp.Choice(
'LSTM_1_activation',
values=['relu', 'selu']
),
kernel_initializer='lecun_normal'
),
AlphaDropout(
rate = hp.Choice(
'dropout_2_rate',
values=[0.3, 0.5],
default=0.3
)
),
LSTM(
units = hp.Int(
'LSTM_2_units',
min_value=100,
max_value=300,
step=32,
default=128
),
activation = hp.Choice(
'LSTM_2_activation',
values=['relu', 'selu']
),
kernel_initializer='lecun_normal'
),
AlphaDropout(
rate = hp.Choice(
'dropout_3_rate',
values=[0.3, 0.5],
default=0.3
)
),
Dense(
units = 1,
activation = 'sigmoid',
kernel_initializer='lecun_normal'
)
])
model.compile(
optimizer = keras.optimizers.Nadam(
hp.Choice(
'learning_rate',
values=[1e-2, 1e-3]
)
),
loss = 'binary_crooentropy',
metric = ['accuracy']
)
return model
tuner_search = BayesianOptimization(build_model,
objective='val_accuracy',
max_trials=3,
seed=42,
directory='output',
project_name='Fake News Classifier'
)
'''
当我尝试运行此代码时，出现以下错误：
WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
WARNING:tensorflow:Layer lstm_1 will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
Invalid model 0/5
WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
WARNING:tensorflow:Layer lstm_1 will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/kerastuner/engine/hypermodel.py", line 104, in build
model = self.hypermodel.build(hp)
File "<ipython-input-18-fe84fe0afbca>", line 62, in build_model
kernel_initializer='lecun_normal'
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 144, in __init__
self.add(layer)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 223, in add
output_tensor = layer(self.outputs[0])
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/layers/recurrent.py", line 660, in __call__
return super(RNN, self).__call__(inputs, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 952, in __call__
input_list)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 1091, in _functional_construction_call
inputs, input_masks, args, kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 822, in _keras_tensor_symbolic_call
return self._infer_output_signature(inputs, args, kwargs, input_masks)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 862, in _infer_output_signature
self._maybe_build(inputs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 2685, in _maybe_build
self.input_spec, inputs, self.name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/input_spec.py", line 223, in assert_input_compatibility
str(tuple(shape)))
ValueError: Input 0 of layer lstm_1 is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: (None, 128)
Invalid model 1/5
WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
WARNING:tensorflow:Layer lstm_1 will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/kerastuner/engine/hypermodel.py", line 104, in build
model = self.hypermodel.build(hp)
File "<ipython-input-18-fe84fe0afbca>", line 62, in build_model
kernel_initializer='lecun_normal'
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 144, in __init__
self.add(layer)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 223, in add
output_tensor = layer(self.outputs[0])
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/layers/recurrent.py", line 660, in __call__
return super(RNN, self).__call__(inputs, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 952, in __call__
input_list)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 1091, in _functional_construction_call
inputs, input_masks, args, kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 822, in _keras_tensor_symbolic_call
return self._infer_output_signature(inputs, args, kwargs, input_masks)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 862, in _infer_output_signature
self._maybe_build(inputs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 2685, in _maybe_build
self.input_spec, inputs, self.name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/input_spec.py", line 223, in assert_input_compatibility
str(tuple(shape)))
ValueError: Input 0 of layer lstm_1 is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: (None, 128)
Invalid model 2/5
WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
WARNING:tensorflow:Layer lstm_1 will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/kerastuner/engine/hypermodel.py", line 104, in build
model = self.hypermodel.build(hp)
File "<ipython-input-18-fe84fe0afbca>", line 62, in build_model
kernel_initializer='lecun_normal'
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 144, in __init__
self.add(layer)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 223, in add
output_tensor = layer(self.outputs[0])
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/layers/recurrent.py", line 660, in __call__
return super(RNN, self).__call__(inputs, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 952, in __call__
input_list)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 1091, in _functional_construction_call
inputs, input_masks, args, kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 822, in _keras_tensor_symbolic_call
return self._infer_output_signature(inputs, args, kwargs, input_masks)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 862, in _infer_output_signature
self._maybe_build(inputs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 2685, in _maybe_build
self.input_spec, inputs, self.name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/input_spec.py", line 223, in assert_input_compatibility
str(tuple(shape)))
ValueError: Input 0 of layer lstm_1 is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: (None, 128)
Invalid model 3/5
WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
WARNING:tensorflow:Layer lstm_1 will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/kerastuner/engine/hypermodel.py", line 104, in build
model = self.hypermodel.build(hp)
File "<ipython-input-18-fe84fe0afbca>", line 62, in build_model
kernel_initializer='lecun_normal'
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 144, in __init__
self.add(layer)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 223, in add
output_tensor = layer(self.outputs[0])
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/layers/recurrent.py", line 660, in __call__
return super(RNN, self).__call__(inputs, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 952, in __call__
input_list)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 1091, in _functional_construction_call
inputs, input_masks, args, kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 822, in _keras_tensor_symbolic_call
return self._infer_output_signature(inputs, args, kwargs, input_masks)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 862, in _infer_output_signature
self._maybe_build(inputs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 2685, in _maybe_build
self.input_spec, inputs, self.name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/input_spec.py", line 223, in assert_input_compatibility
str(tuple(shape)))
ValueError: Input 0 of layer lstm_1 is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: (None, 128)
Invalid model 4/5
WARNING:tensorflow:Layer lstm will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
WARNING:tensorflow:Layer lstm_1 will not use cuDNN kernel since it doesn't meet the cuDNN kernel criteria. It will use generic GPU kernel as fallback when running on GPU
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/kerastuner/engine/hypermodel.py", line 104, in build
model = self.hypermodel.build(hp)
File "<ipython-input-18-fe84fe0afbca>", line 62, in build_model
kernel_initializer='lecun_normal'
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 144, in __init__
self.add(layer)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 223, in add
output_tensor = layer(self.outputs[0])
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/layers/recurrent.py", line 660, in __call__
return super(RNN, self).__call__(inputs, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 952, in __call__
input_list)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 1091, in _functional_construction_call
inputs, input_masks, args, kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 822, in _keras_tensor_symbolic_call
return self._infer_output_signature(inputs, args, kwargs, input_masks)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 862, in _infer_output_signature
self._maybe_build(inputs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 2685, in _maybe_build
self.input_spec, inputs, self.name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/input_spec.py", line 223, in assert_input_compatibility
str(tuple(shape)))
ValueError: Input 0 of layer lstm_1 is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: (None, 128)
Invalid model 5/5
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/kerastuner/engine/hypermodel.py", line 104, in build
model = self.hypermodel.build(hp)
File "<ipython-input-18-fe84fe0afbca>", line 62, in build_model
kernel_initializer='lecun_normal'
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 144, in __init__
self.add(layer)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/training/tracking/base.py", line 517, in _method_wrapper
result = method(self, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py", line 223, in add
output_tensor = layer(self.outputs[0])
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/layers/recurrent.py", line 660, in __call__
return super(RNN, self).__call__(inputs, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 952, in __call__
input_list)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 1091, in _functional_construction_call
inputs, input_masks, args, kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 822, in _keras_tensor_symbolic_call
return self._infer_output_signature(inputs, args, kwargs, input_masks)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 862, in _infer_output_signature
self._maybe_build(inputs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 2685, in _maybe_build
self.input_spec, inputs, self.name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/input_spec.py", line 223, in assert_input_compatibility
str(tuple(shape)))
ValueError: Input 0 of layer lstm_1 is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: (None, 128)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/kerastuner/engine/hypermodel.py in build(self, hp)
103 with maybe_distribute(self.distribution_strategy):
--> 104 model = self.hypermodel.build(hp)
105 except:
19 frames
ValueError: Input 0 of layer lstm_1 is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: (None, 128)
During handling of the above exception, another exception occurred:
RuntimeError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/kerastuner/engine/hypermodel.py in build(self, hp)
111 if i == self._max_fail_streak:
112 raise RuntimeError(
--> 113 'Too many failed attempts to build model.')
114 continue
115
RuntimeError: Too many failed attempts to build model.
我该如何解决这个问题？