Reputation: 66
import keras
from keras.layers import Input, Dense
from keras.models import Model
from keras_adamw import AdamW
mlp = Model([
Dense(10, activation='relu', input_shape=trainX_scaled.shape), #input shape
Dense(10, activation='relu'), #Hiddin layer
Dense(10, activation='relu') #output layer
])
optimizer = AdamW(lr=0.001,model=mlp)
mlp.compile(optimizer, loss='sparse_categorical_crossentropy', metrics=['accuracy'])
history = mlp.fit(trainX_scaled, train_y, epochs=500, validation_data=(valX_scaled, val_y), batch_size=1)
The error is
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-66-46d3a15c03c4> in <module>()
19 optimizer = AdamW(lr=0.001,model=mlp)
20 mlp.compile(optimizer, loss='sparse_categorical_crossentropy', metrics=['accuracy'])
---> 21 history = mlp.fit(trainX_scaled, train_y, epochs=500, validation_data=(valX_scaled, val_y), batch_size=1)
3 frames
/usr/local/lib/python3.7/dist-packages/keras/engine/network.py in call(self, inputs, mask)
578 cache_key = object_list_uid(inputs)
579 cache_key += '_' + object_list_uid(masks)
--> 580 if cache_key in self._output_tensor_cache:
581 return self._output_tensor_cache[cache_key]
582 else:
AttributeError: 'Model' object has no attribute '_output_tensor_cache'
The error occurs when running model.fit
.
Upvotes: 0
Views: 1338
Reputation:
Which tensorflow version have you installed in your system? Please import the keras libraries from tensorflow.keras
and re-execute the above code.
from tensorflow.keras.layers import Input, Dense
from tensorflow.keras.models import Model
AdamW
api is part of Tensorflow Addons
package. To import AdamW
optimizer, you need to use below code:
!pip install tensorflow-addons
import tensorflow_addons as tfa
from tensorflow_addons.optimizers import AdamW
Or can simply use Adam
optimizer instead of using Adamw
as below:
from tensorflow.keras.optimizers import Adam
Let us know if the issue still persists. Thank You.
Upvotes: 0