Python tensorflow.DeviceSpec.job屬性用法及代碼示例

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。

job用於從設備規範中獲取該作業。

用法：tensorflow.DeviceSpec.job

返回值：它返回DeviceSpec的作業。

範例1：

Python3

# Importing the library 
import tensorflow as tf 
  
# Initializing Device Specification 
device_spec = tf.DeviceSpec(job ="gfg", device_type ="GPU", device_index = 1) 
  
# Printing the DeviceSpec object 
print('Device Spec:', device_spec) 
  
# Getting the job 
job = device_spec.job 
  
# Printing the result 
print('Job:', job)

輸出：


Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba9810a8>
Job: gfg

範例2：

Python3

# Importing the library 
import tensorflow as tf 
  
# Initializing Device Specification 
device_spec = tf.DeviceSpec(job ="gfg2", device_type ="GPU", device_index = 1) 
  
# Printing the DeviceSpec object 
print('Device Spec:', device_spec) 
  
# Getting the job 
job = device_spec.job 
  
# Printing the result 
print('Job:', job)

輸出：


Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba981108>
Job: gfg2

相關用法

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.job Attribute。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。