python-kerasHow do I check if my GPU is being used with Python Keras?
To check if your GPU is being used with Python Keras, you can use the following code:
from keras import backend as K
K.tensorflow_backend._get_available_gpus()
This will output a list of available GPUs if any. For example, if you have an NVIDIA GPU installed, the output will look like this:
['/gpu:0']
The code works by using the Keras backend module to access the tensorflow_backend module. The _get_available_gpus() method is then used to check for available GPUs.
If you don't have a GPU installed, or if the GPU is not being detected, the output will be an empty list [].
Code explanation
from keras import backend as K: imports theKerasbackend module asKK.tensorflow_backend._get_available_gpus(): calls thetensorflow_backendmodule and uses the_get_available_gpus()method to check for available GPUs
Helpful links
More of Python Keras
- How can I use Python with Keras to build a deep learning model?
- How can I improve the validation accuracy of my Keras model using Python?
- How do I use Python Keras to zip a file?
- How do I install Keras on Windows using Python?
- How can I use Python Keras on Windows?
- How do I use validation_data when creating a Keras model in Python?
- How can I use the to_categorical attribute in the tensorflow.python.keras.utils module?
- How do I use Python and Keras to create a VGG16 model?
- How can I install the python module tensorflow.keras in R?
- How can I enable verbose mode when using Python Keras?
See more codes...