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:
# Importing the library
import tensorflow as tf
# Initializing Device Specification
device_spec = tf.DeviceSpec(job ="gfg", device_type ="GPU", device_index = 1)
# Printing the DeviceSpec object
print('Device Spec: ', device_spec)
# Getting the job
job = device_spec.job
# Printing the result
print('Job: ', job)
Output:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba9810a8> Job: gfg
Example 2:
# Importing the library
import tensorflow as tf
# Initializing Device Specification
device_spec = tf.DeviceSpec(job ="gfg2", device_type ="GPU", device_index = 1)
# Printing the DeviceSpec object
print('Device Spec: ', device_spec)
# Getting the job
job = device_spec.job
# Printing the result
print('Job: ', job)
Output:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba981108> Job: gfg2
