Python – tensorflow.DeviceSpec.job Attribute
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
job is used to get the job from the Device Specification.
Syntax: tensorflow.DeviceSpec.job
Returns: It returns the job of the DeviceSpec.
Example 1:
Python3
import tensorflow as tf
device_spec = tf.DeviceSpec(job = "gfg" , device_type = "GPU" , device_index = 1 )
print ( 'Device Spec: ' , device_spec)
job = device_spec.job
print ( 'Job: ' , job)
|
Output:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba9810a8>
Job: gfg
Example 2:
Python3
import tensorflow as tf
device_spec = tf.DeviceSpec(job = "gfg2" , device_type = "GPU" , device_index = 1 )
print ( 'Device Spec: ' , device_spec)
job = device_spec.job
print ( 'Job: ' , job)
|
Output:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba981108>
Job: gfg2
Last Updated :
28 Jul, 2020
Like Article
Save Article
Share your thoughts in the comments
Please Login to comment...