Memory usage in keras
I'm using keras2.0 and can't use the gpu when my model is on the training process. It gives me out of memory. How can I use gpu during training process?
1 Answers
NN
2If you use Tensorflow as backend the you can change the configuration.
import tensorflow as tf
from keras.backend.tensorflow_backend import set_session
config = tf.ConfigProto()
config.gpu_options.per_process_gpu_memory_fraction = 0.3
set_session(tf.Session(config=config))Reply
Couldn't find what you were looking for?and we will find an expert to answer.
How helpful was this page?