Python – tensorflow.DeviceSpec.make\_merged\_spec()

TensorFlow是谷歌设计的开源Python库，用于开发机器学习模型和深度学习神经网络。

make\_merged\_spec用于合并两个DeviceSpec的规格。

语法:
tensorflow.DeviceSpec.make_merged_spec( dev )

参数:

• dev：它是DeviceSpec。

返回：
它返回一个具有合并规范的DeviceSpec对象。

示例 1:

# 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)

输出:

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>

示例 2:

# 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)

输出:

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>