Memory usage in keras
I'm using Keras 2.0 and can't use the GPU when my model is in the training process. It gives me out of memory. How can I use GPU during the 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
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