TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
replace() is used to override the specification of DeviceSpec object and get the new object.
Syntax: tensorflow.DeviceSpec.replace(**kwargs)
Parameters:
- **kwargs: This method accepts all the parameters accepted by DeviceSpec constructor.
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.replace(job = "gfg2") # Printing the result print('New Device Spec: ', new_device_spec.to_string()) |
Output:
Device Spec: /job:gfg/replica:5 New Device Spec: /job:gfg2/replica:5
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.replace(job = "gfg2", device_type = "CPU") # Printing the result print('New Device Spec: ', new_device_spec.to_string()) |
Output:
Device Spec: /job:gfg/replica:5 New Device Spec: /job:gfg2/replica:5/device:CPU:*
