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。
task用于获取DeviceSpec的任务索引。
用法:tensorflow.DeviceSpec.task
返回值:它返回DeviceSpec的任务索引
范例1:
Python3
# Importing the library
import tensorflow as tf
# Initializing Device Specification
device_spec = tf.DeviceSpec(job ="gfg2", replica = 5, device_type ="GPU", device_index = 1)
# Printing the DeviceSpec object
print('Device Spec:', device_spec)
# Getting task index
task = device_spec.task
# Printing the result
print('Task Index:', task)
输出:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba981d08> Task Index: None
范例2:
Python3
# Importing the library
import tensorflow as tf
# Initializing Device Specification
device_spec = tf.DeviceSpec(job ="gfg2", replica = 5, task = 2, device_type ="GPU", device_index = 1)
# Printing the DeviceSpec object
print('Device Spec:', device_spec)
# Getting task index
task = device_spec.task
# Printing the result
print('Task Index:', task)
输出:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba91a708> Task Index: 2
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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.task 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。