Python tensorflow.DeviceSpec.replace()用法及代碼示例

TensorFlow是Google設計的開源Python庫，用於開發機器學習模型和深度學習神經網絡。

replace()用於覆蓋DeviceSpec對象的規範並獲取新對象。

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

參數：

**kwargs:此方法接受DeviceSpec構造函數接受的所有參數。

返回值：它返回一個DeviceSpec對象。

範例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())

輸出：


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

範例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())

輸出：


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

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注：本文由純淨天空篩選整理自aman neekhara大神的英文原創作品 Python – tensorflow.DeviceSpec.replace()。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。