Python - tensorflow.DeviceSpec.replica Attribute Last Updated : 28 Jul, 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. 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: Python3 # Importing the library import tensorflow as tf # Initializing Device Specification device_spec = tf.DeviceSpec(job ="gfg2", device_type ="GPU", device_index = 1) # Printing the DeviceSpec object print('Device Spec: ', device_spec) # Getting replica index replica = device_spec.replica # Printing the result print('Replica: ', replica) Output: Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba981b88> Replica: None Example 2: 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 replica index replica = device_spec.replica # Printing the result print('Replica: ', replica) Output: Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fe5ba981d08> Replica: 5 Comment More infoAdvertise with us Next Article Python - tensorflow.DeviceSpec.device_type Attribute A aman neekhara Follow Improve Article Tags : Python Python-Tensorflow Python Tensorflow-math-functions Practice Tags : python Similar Reads 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 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.replace() TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. replace() is used to override the specification of DeviceSpec object and get the new object. Syntax: tensorflow.DeviceSpec.replace(**kwargs) Parameters: **kwargs: This m 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 Like