Table of Contents

TensorFlow

Compatibility with CUDA/cuDNN

https://www.tensorflow.org/install/source#gpu

Sample

input1 = tf.ones((2, 3))
input2 = tf.reshape(tf.range(1, 7, dtype=tf.float32), (2, 3))
output = input1 + input2
with tf.Session() :
    result = output.eval()

Device List

from tensorflow.python.client import device_lib
device_lib.list_local_devices()

Tensor Board

tensorboard --logdir=/tmp/tflearn_logs

http://localhost:6006

References

TensorFlow
https://www.tensorflow.org/