Diagram
AttributeError: module ‘tensorflow’ has no attribute ‘test’ error occurs when the Python interpreter cannot find the ‘test’ attribute in the ‘tensorflow’ module.
In the early days of TensorFlow, the ‘test’ attribute was a part of the TensorFlow module. It provided a testing framework for TensorFlow code, allowing users to write and run tests for their machine-learning models.
However, changes in TensorFlow’s architecture led to the deprecation of this attribute, causing confusion and the infamous AttributeError among many TensorFlow users.
Reproducing the error
import tensorflow as tf
device_name = tf.test.gpu_device_name()
if device_name != '/device:GPU:0':
raise SystemError('GPU device not found')
print('Found GPU at: {}'.format(device_name))Output
AttributeError: module 'tensorflow' has no attribute 'test'When you import TensorFlow and access tf.test, Python is finding the ‘test’ module in your TensorFlow installation.
How to Fix It?
To fix the AttributeError: module ‘tensorflow’ has no attribute ‘test’ error, you can use Python’s built-in “unittest” module to third-party libraries like “PyTest”, and you have a wide range of options.
Keeping your Python libraries, including TensorFlow, up-to-date is crucial for avoiding errors and taking advantage of the latest features. This section will guide you through updating and managing your Python libraries.
That’s it.
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Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Python language stands as a testament to his versatility and commitment to the craft.
