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。
device_type用于获取DeviceSpec的设备类型。
用法:tensorflow.DeviceSpec.device_type
返回值:它返回设备类型。
范例1:
Python3
# Importing the library
import tensorflow as tf
# Initializing Device Specification
device_spec = tf.DeviceSpec(job ="gfg", device_type ="CPU", device_index = 1)
# Printing the DeviceSpec object
print('Device Spec:', device_spec)
# Getting device type
device_type = device_spec.device_type
# Printing the result
print('Device Type:', device_type)
输出:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba96af48> Device Type: CPU
范例2:
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 device type
device_type = device_spec.device_type
# Printing the result
print('Device Type:', device_type)
输出:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba96aee8> Device Type: GPU
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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.device_type 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。