following code is used to specify device on which tf node is running on
with tf.device('/gpu:0'):
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
i have already known: this post, tensorflow doc and xla demo
what i want to know is:
is there a way to specify XLA_GPU as the device on which tf node is running on
with tf.device('/XLA_GPU:0'):
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
executing the code above gives ValueError: Unknown attribute: 'device' in '/job:localhost/replica:0/task:0/device:/XLA_GPU:0'
this is 100% reproducible on google colab.