TensorFlow
Compatibility with CUDA/cuDNN
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
References
TensorFlow
https://www.tensorflow.org/
Acknowledgments
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