Python - tensorflow.DeviceSpec.task Attribute Last Updated : 01 Aug, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report 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 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) Output: Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba981d08> Task Index: None Example 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) Output: Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba91a708> Task Index: 2 Comment More infoAdvertise with us Next Article Python - tensorflow.DeviceSpec.replica Attribute A aman neekhara Follow Improve Article Tags : Python Python-Tensorflow Python Tensorflow-math-functions Practice Tags : python Similar Reads Python - tensorflow.DeviceSpec.replica Attribute TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. replica is used to get the replica index of DeviceSpec. Syntax: tensorflow.DeviceSpec.replica Returns: It returns the replica index of the DeviceSpec. Example 1: Python 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.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.device_index Attribute 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 # Import 1 min read Python - tensorflow.IndexedSlices.op Attribute TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. op is used to find the operation used to that produces value as an output. It only works when eager execution is disabled. Syntax: tensorflow.IndexedSlices.op Returns: I 2 min read Python - tensorflow.IndexedSlices.shape Attribute TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. shape is used to get the tensorflow.TensorShape representing the shape of the dense tensor. Syntax:  tensorflow.IndexedSlices.shape Returns:  It returns tensorflow.Tenso 1 min read Like