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
import tensorflow as tf
device_spec = tf.DeviceSpec(job ="gfg", replica = 5)
print('Device Spec: ', device_spec.to_string())
new_device_spec = device_spec.replace(job = "gfg2")
print('New Device Spec: ', new_device_spec.to_string())
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Output:
Device Spec: /job:gfg/replica:5
New Device Spec: /job:gfg2/replica:5
Example 2:
Python3
import tensorflow as tf
device_spec = tf.DeviceSpec(job ="gfg", replica = 5)
print('Device Spec: ', device_spec.to_string())
new_device_spec = device_spec.replace(job = "gfg2", device_type = "CPU")
print('New Device Spec: ', new_device_spec.to_string())
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Output:
Device Spec: /job:gfg/replica:5
New Device Spec: /job:gfg2/replica:5/device:CPU:*
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Last Updated :
01 Aug, 2020
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