Python - tensorflow.DeviceSpec.device_index Attribute Last Updated : 28 Jul, 2020 Comments Improve Suggest changes Like Article Like Report TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. device_index is used to get the device index of DeviceSpec. Syntax: tensorflow.DeviceSpec.device_index Returns: It returns the device index. Example 1: Python3 # Importing the library import tensorflow as tf # Initializing Device Specification device_spec = tf.DeviceSpec(job ="gfg", device_type ="CPU", device_index = 0) # Printing the DeviceSpec object print('Device Spec: ', device_spec) # Getting device index device_index = device_spec.device_index # Printing the result print('Device Index: ', device_index) Output: Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba96aee8> Device Index: 0 Example 2: 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 index device_index = device_spec.device_index # Printing the result print('Device Index: ', device_index) Output: Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba97f048> Device Index: 1 Comment More infoAdvertise with us Next Article Python - tensorflow.DeviceSpec.device_index Attribute A aman neekhara Follow Improve Article Tags : Python Python-Tensorflow Python Tensorflow-math-functions Practice Tags : python Similar Reads Python - tensorflow.DeviceSpec.device_type Attribute 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 1 min read Python - tensorflow.DeviceSpec.job Attribute TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. job is used to get the job from the Device Specification. Syntax: tensorflow.DeviceSpec.job Returns: It returns the job of the DeviceSpec. Example 1: Python3 # Importing 1 min read Python - tensorflow.IndexedSlices.device Attribute TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. device is used to find the name of the device on which values will be generated. Syntax: tensorflow.IndexedSlices.device Returns: It returns the name of the device. Exam 1 min read Python - tensorflow.IndexedSlices.indices Attribute TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. indices is used to find the indices of the slice. Syntax: tensorflow.IndexedSlices.indices Returns: It returns a 1-D Tensor containing the indices of slice. Example 1: P 1 min read Python - tensorflow.DeviceSpec.task Attribute TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. task is used to get the task index of DeviceSpec. Syntax: tensorflow.DeviceSpec.task Returns: It returns the task index of DeviceSpec Example 1: Python3 # Importing the 1 min read Like