Python tensorflow.DeviceSpec.replace()用法及代码示例

TensorFlow是Google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对象的规范并获取新对象。

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

参数：

**kwargs:此方法接受DeviceSpec构造函数接受的所有参数。

返回值：它返回一个DeviceSpec对象。

范例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())

输出：


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

范例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())

输出：


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

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注：本文由纯净天空筛选整理自aman neekhara大神的英文原创作品 Python – tensorflow.DeviceSpec.replace()。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。