plot_model() got an unexpected keyword argument 'show_layer_activations'

[kaushalkrishna2000]

Click to expand!

Issue Type

Bug

Have you reproduced the bug with TF nightly?

No

Source

source

Tensorflow Version

2.6.4

Custom Code

No

OS Platform and Distribution

Linux

Mobile device

No response

Python version

3.7.12

Bazel version

No response

GCC/Compiler version

No response

CUDA/cuDNN version

No response

GPU model and memory

No response

Current Behaviour?

plot_model not working according to the documentation mentioned. In Jupyer Notebook of Kaggle.

Standalone code to reproduce the issue

n=3
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Dropout,Input
from tensorflow.keras.callbacks import EarlyStopping

e=EarlyStopping(patience=9,restore_best_weights=True,verbose=1)

model=Sequential()

#Input Layer
model.add(Input(shape=(X_train.shape[1],)))

#Hidden Layer
for counter in range(1,n+1):
    model.add(Dense(n*X_train.shape[1],activation='relu'))
#     if(counter%4==0):
#         model.add(Dropout(0.75))

#Output Layer
model.add(Dense(1))

model.compile(loss='mean_squared_error',
              optimizer='adam',
              metrics = ['mean_absolute_error',tf.keras.metrics.RootMeanSquaredError()])

model. Summary()

# from tensorflow.keras.utils import plot_model
tf.keras.utils.plot_model(model, to_file='model.png',show_shapes=True,show_dtype=True,show_layer_activations=True,show_layer_names=True,rankdir='LR')

Relevant log output

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/tmp/ipykernel_23/976071416.py in <module>
      1 # from tensorflow.keras.utils import plot_model
----> 2 tf.keras.utils.plot_model(model, to_file='model.png',show_shapes=True,show_dtype=True,show_layer_activations=True,show_layer_names=True,rankdir='LR')

TypeError: plot_model() got an unexpected keyword argument 'show_layer_activations'

[mohantym]

Hi @kaushalkrishna2000 !

Thanks for sharing your observation of plot_model w.r.to 2.6 version.
Could you check against 2.9/2.11 and let us know.

Thank you!

[kaushalkrishna2000]

Its working in 2.9 ( will check 2.11 in sometime ).
There is a difference in which the image is presented.

2.9

2.6

Is it possible to make it the same size of 2.6 ?

[kaushalkrishna2000]

2.11

[kaushalkrishna2000]

`n=3
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Dropout,Input
from tensorflow.keras.callbacks import EarlyStopping

e=EarlyStopping(patience=9,restore_best_weights=True,verbose=1)

model=Sequential()

#Input Layer
model.add(Input(shape=(24,)))

#Hidden Layer
for counter in range(1,n+1):
model.add(Dense(n*24,activation='relu'))
#if(counter%4==0):
#model.add(Dropout(0.75))

#Output Layer
model.add(Dense(1))

model.compile(loss='mean_squared_error',
optimizer='adam',
metrics = ['mean_absolute_error',tf.keras.metrics.RootMeanSquaredError()])

model. summary()

tf.keras.utils.plot_model(model, to_file='model.png',rankdir='TB',show_layer_activations=True,
show_shapes=True,show_layer_names=True,show_dtype=True)`

You can try above code to reproduce the above pics.

[mohantym]

Hi @kaushalkrishna2000 !

I am getting type error mentioned in template for 2.6.3.
Shapes seems to be same for 2.9 and 2.11.

Could you consider this resolved in 2.11 (as a lot of bugs has been fixed in version after 2.9)

Please post this issue on keras-team/keras repo for further assistance.
To know more see;
https://discuss.tensorflow.org/t/keras-project-moved-to-new-repository-in-https-github-com-keras-team-keras/1999 .

Thank you!

[google-ml-butler]

This issue has been automatically marked as stale because it has no recent activity. It will be closed if no further activity occurs. Thank you.

[google-ml-butler]

Closing as stale. Please reopen if you'd like to work on this further.

[google-ml-butler]

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