Python - tensorflow.DeviceSpec.device_type Attribute

Python - tensorflow.DeviceSpec.device_type Attribute

Last Updated : 28 Jul, 2020

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.

device_type is used to get the device type of DeviceSpec.

Syntax: tensorflow.DeviceSpec.device_type

Returns: It returns the device type.

Example 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)

Output:


Device Spec:  <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba96af48>
Device Type:  CPU

Example 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)

Output:


Device Spec:  <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba96aee8>
Device Type:  GPU

Python - tensorflow.DeviceSpec.device_type Attribute

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