gpu_device_name returns the name of the gpu device. You can also check for available devices in the session: with tf.Session() as sess: devices ... ... <看更多>

pip install tensorflow-gpu==2.0.0beta1 ... pip install tensorflow-gpu==2.0.0-rc0 ... tf.test.is_gpu_available() ... ... <看更多>

TensorFlow Test Script. ... import tensorflow as tf ... a_g = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a-gpu'). ... <看更多>

I've seen some suggestions elsewhere, but they are old and do not apply very well to newer TF versions. What worked for me was this: ... <看更多>

1000) GPU: 2 Geforce GTX 1080: (The test works when I only use one GPU, ... PDF | Deep learning frameworks such as TensorFlow and PyTorch provide a ... ... <看更多>