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

# 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:

Python3

# 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