Python tensorflow.DeviceSpec.make_merged_spec()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。

make_merged_spec用於合並兩個DeviceSpec的規範。

用法：tensorflow.DeviceSpec.make_merged_spec( dev )

參數：

dev:它是DeviceSpec。

返回值：它返回具有合並規範的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) 
device_spec2 = tf.DeviceSpec(device_type ="CPU") 
  
# Printing the DeviceSpec object 
print('Device Spec:', device_spec) 
print('Device Spec2:', device_spec2) 
  
# Getting new DeviceSpec object 
new_device_spec = device_spec.make_merged_spec(device_spec2) 
  
# Printing the result 
print('New Device Spec:', new_device_spec)

輸出：


Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fad779e4d08>
Device Spec2: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fadb9428228>
New Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fad779e4ca8>

範例2：

Python3

# Importing the library 
import tensorflow as tf 
  
# Initializing Device Specification 
device_spec = tf.DeviceSpec(job ="gfg", replica = 5) 
device_spec2 = tf.DeviceSpec(device_type ="CPU", device_index = 2) 
  
# Printing the DeviceSpec object 
print('Device Spec:', device_spec) 
print('Device Spec2:', device_spec2) 
  
# Getting new DeviceSpec object 
new_device_spec = device_spec.make_merged_spec(device_spec2) 
  
# Printing the result 
print('New Device Spec:', new_device_spec)

輸出：


Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fad779e4e28>
Device Spec2: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fad779e4d08>
New Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fadb9428228>

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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.make_merged_spec()。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。