TensorFlow, "'module' object has no attribute 'placeholder'"

I've been trying to use tensorflow for two days now installing and reinstalling it over and over again in python2.7 and 3.4. No matter what I do, I get this error message when trying to use tensorflow.placeholder()

It's very boilerplate code:

tf_in = tf.placeholder("float", [None, A]) # Features

No matter what I do I always get the trace back:

Traceback (most recent call last):
  File "/home/willim/PycharmProjects/tensorflow/tensorflow.py", line 2, in <module>
    import tensorflow as tf
  File "/home/willim/PycharmProjects/tensorflow/tensorflow.py", line 53, in <module>
    tf_in = tf.placeholder("float", [None, A]) # Features
AttributeError: 'module' object has no attribute 'placeholder'

Anyone know how I can fix this?

Solution 1:

If you have this error after an upgrade to TensorFlow 2.0, you can still use 1.X API by replacing:

import tensorflow as tf

by

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

Solution 2:

Solution: Do not use "tensorflow" as your filename.

Notice that you use tensorflow.py as your filename. And I guess you write code like:

import tensorflow as tf

Then you are actually importing the script file "tensorflow.py" that is under your current working directory, rather than the "real" tensorflow module from Google.

Here is the order in which a module will be searched when importing:

1. The directory containing the input script (or the current directory when no file is specified).

2. PYTHONPATH (a list of directory names, with the same syntax as the shell variable PATH).

3. The installation-dependent default.

Solution 3:

It happened to me too. I had tensorflow and it was working pretty well, but when I install tensorflow-gpu along side the previous tensorflow this error arose then I did these 3 steps and it started working with no problem:

1. I removed tensorflow-gpu, tensorflow, tensorflow-base packages from Anaconda. Using.

conda remove tensorflow-gpu tensorflow tensorflow-base

2. re-installed tensorflow. Using

conda install tensorflow

Solution 4:

Instead of tf.placeholder(shape=[None, 2], dtype=tf.float32) use something like tf.compat.v1.placeholder(shape=[None, 2], dtype=tf.float32) if you don't want to disable v2 completely.

Solution 5:

import tensorflow.compat.v1 as tf

tf.disable_v2_behavior() 

works. I am using Python 3.7 and tensorflow 2.0.