gpu training tensorflow
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))gpu training tensorflow
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))tensorflow use gpu
python -c "import tensorflow as tf; print('Num GPUs Available: ', len(tf.config.experimental.list_physical_devices('GPU')))"install tensorflow gpu
pip3 uninstall tensorflow
pip3 install 'tensorflow-gpu==1.15.4'config allow growth tensorflow
# Assume that you have 12GB of GPU memory and want to allocate ~4GB:
gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.333)
sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options))do i need do some set when i use GPU to train tensorflow model
from __future__ import absolute_import, division, print_function, unicode_literalsimport tensorflow as tfprint("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))Copyright © 2021 Codeinu
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