Skip to content
Related Articles

Related Articles

Improve Article

Python – tensorflow.DeviceSpec.parse_from_string()

  • Last Updated : 01 Aug, 2020

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks.

parse_from_string() is used to parse a DeviceSpec name into its components. 

Syntax: tensorflow.DeviceSpec.parse_from_string( spec )

Parameters:

  • spec: It is a string of the form  /job:/replica:/task:/device:CPU: or /job:/replica:/task:/device:GPU with all fields being optional.

Returns: It returns a DeviceSpec object.



Example 1:

Python3




# Importing the library
import tensorflow as tf
  
# Initializing Device Specification
device_spec = tf.DeviceSpec(job ="gfg", replica = 5)
  
# Printing the DeviceSpec 
print('Device Spec: ', device_spec.to_string())
  
# Getting new DeviceSpec object
new_device_spec = device_spec.parse_from_string("/GPU:0")
  
# Printing the result
print('New Device Spec: ', new_device_spec.to_string())

Output:

Device Spec:  /job:gfg/replica:5
New Device Spec:  /device:GPU:0

Example 2:

Python3




# Importing the library
import tensorflow as tf
  
# Initializing Device Specification
device_spec = tf.DeviceSpec(job ="gfg", replica = 5)
  
# Printing the DeviceSpec 
print('Device Spec: ', device_spec.to_string())
  
# Getting new DeviceSpec object
new_device_spec = device_spec.parse_from_string("replica:2 / GPU:0")
  
# Printing the result
print('New Device Spec: ', new_device_spec.to_string())

Output:

Device Spec:  /job:gfg/replica:5
New Device Spec:  /replica:2/device:GPU:0


 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :