Python tensorflow.DeviceSpec.job属性用法及代码示例

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。

job用于从设备规范中获取该作业。

用法：tensorflow.DeviceSpec.job

返回值：它返回DeviceSpec的作业。

范例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)

输出：


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

范例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)

输出：


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

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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.job Attribute。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。