Diagram
AttributeError: module ‘tensorflow’ has no attribute ‘GPUOptions’ error typically occurs when you are “trying to access the GPUOptions attribute from the TensorFlow module, but the attribute is not directly accessible.”
How to fix it?
To fix the AttributeError: module ‘tensorflow’ has no attribute ‘GPUOptions’ error, Starting from TensorFlow 2.x, the API has undergone many changes compared to TensorFlow 1.x. The GPUOptions attribute is now accessible under tf.compat.v1.GPUOptions if you are using TensorFlow 2.x.
The tf.contrib module will be removed from the core TensorFlow repository and build process. TensorFlow’s contrib module has grown beyond what can be maintained and supported in a single repository. Larger projects are better maintained separately, while smaller extensions will graduate to the core TensorFlow code.
For TensorFlow 2.x
Here’s how to set GPU options in TensorFlow 2.x:
import tensorflow as tf
config = tf.compat.v1.ConfigProto()
config.gpu_options.allow_growth = True
session = tf.compat.v1.Session(config=config)
Alternatively, you can use TensorFlow 2.x native functionalities to manage GPU memory growth:
import tensorflow as tf
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
try:
for gpu in gpus:
tf.config.experimental.set_memory_growth(gpu, True)
except RuntimeError as e:
print(e)
else:
print("No GPUs found!")Make sure to replace experimental with config if you are using a newer version of TensorFlow where this has changed. Refer to the official documentation or release notes for the most accurate information.
To use the tensorflow 1.x functions/methods, there is a compatibility module kept in tensorflow 2.x.
tf.compat.v1.GPUOptions(per_process_gpu_memory_fraction=0.333)For TensorFlow 1.x
Here’s how to set GPU options in TensorFlow 1.x:
import tensorflow as tf
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
session = tf.Session(config=config)
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.
