Attributeerror: Module 'tensorflow_core.compat.v1' Has No Attribute 'contrib'

x = tf.placeholder(dtype = tf.float32, shape = [None, 28, 28]) y = tf.placeholder(dtype = tf.int32, shape = [None]) images_flat = tf.contrib.layers.flatten(x) logits = tf.contrib.l

Solution 1:

tf.contrib was removed from TensorFlow once with TensorFlow 2.0 alpha version.

Most likely, you are already using TensorFlow 2.0.

You can find more details here: https://github.com/tensorflow/tensorflow/releases/tag/v2.0.0-alpha0

For using specific versions of tensorflow, use

pip install tensorflow==1.14

or

pip install tensorflow-gpu==1.14

Solution 2:

I think you need to add the following line in your python file which you are going to execute it.

---

import tensorflow.compat.v1as tf
tf.disable_v2_behavior()

---

Solution 3:

contrib is a headache of Google Team. We have to deal with the issue of contrib case by case. I just take two examples as follows.

1.With regard to CNN, it has the following method

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

# -initializer = tf.contrib.layers.xavier_initializer(seed=1)
initializer = tf.truncated_normal_initializer(stddev=0.1)

2.With regard to RNN/LSTM, it has the following different method.

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

# -outputs, states = tf.contrib.rnn.static_rnn(lstm_cells, _X, dtype=tf.float32)
outputs, states = tf.compat.v1.nn.static_rnn(lstm_cells, _X, dtype=tf.float32)