Python – tensorflow.DeviceSpec.replace()

Python – tensorflow.DeviceSpec.replace()

TensorFlow是谷歌设计的开源Python库,用于开发机器学习模型和深度学习神经网络。

replace()用于覆盖DeviceSpec对象的规范并获得新的对象。

语法: tensorflow.DeviceSpec.replace(**kwargs)

参数:

  • **kwargs:该方法接受DeviceSpec构造函数接受的所有参数。

返回:它返回一个DeviceSpec对象。

示例 1:

# 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())

输出:


Device Spec: /job:gfg/replica:5 New Device Spec: /job:gfg2/replica:5

示例 2:

# 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())

输出:


Device Spec: /job:gfg/replica:5 New Device Spec: /job:gfg2/replica:5/device:CPU:*

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