'Failed to import pydot. You must `pip install pydot` and install graphviz

import pydot
import graphviz
from keras.utils import plot_model
plot_model(model, to_file='model.png')


('Failed to import pydot. You must `pip install pydot` and install graphviz (https://graphviz.gitlab.io/download/), ', 'for `pydotprint` to work.')



conda install -c https://conda.binstar.org/t/TOKEN/j14r pydot
conda install -c https://conda.binstar.org/t/TOKEN/j14r graphviz


 I used pip uninstall on all related packages, then:

pip install pydot
pip install pydotplus
pip install graphviz
pip install pydot-ng

Then:

  • Download and install graphviz binaries from here
  • Add path to graphviz bin folder in system PATH

Using TensorFlow 2.3.0 on Windows 10 without Anaconda, the following (finally) worked for me:

  1. Install Graphviz 32 bit (64 bit didn't work)
  2. Add Graphviz path C:\Program Files (x86)\Graphviz\bin to system's and user's PATH environment variables
  3. Install pydot-ng which is the preferred pydot library used by TensorFlow 2.3.0

import keras
import pydot
import pydotplus
from pydotplus import graphviz
from keras.utils.vis_utils import plot_model
from keras.utils.vis_utils import model_to_dot
keras.utils.vis_utils.pydot = pydot



REF
https://stackoverflow.com/questions/47605558/importerror-failed-to-import-pydot-you-must-install-pydot-and-graphviz-for-py

 import tensorflow as tf

  input = tf.keras.Input(shape=(100,), dtype='int32', name='input')

  x = tf.keras.layers.Embedding(output_dim=512, input_dim=1000, input_length=100)(input)

  x = tf.keras.layers.LSTM(32)(x)

  x = tf.keras.layers.Dense(64, activation='relu')(x)

  output = tf.keras.layers.Dense(1, activation='sigmoid', name='output')(x)

  model = tf.keras.Model(inputs=[input], outputs=[output])

 

 

 

 REF

https://www.gcptutorials.com/article/how-to-plot-model-architecture-with-tf.keras.utils

 








posted @ 2021-03-05 08:32  emanlee  阅读(3449)  评论(0编辑  收藏  举报