Python - tensorflow.DeviceSpec.parse_from_string() 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. parse_from_string() is used to parse a DeviceSpec name into its components. Syntax: tensorflow.DeviceSpec.parse_from_string( spec ) Parameters: spec: It is a string of the form /job:/replica:/task:/device:CPU: or /job:/replica:/task:/device:GPU with all fields being optional. Returns: It returns a DeviceSpec object. Example 1: Python3 # Importing the library import tensorflow as tf # Initializing Device Specification device_spec = tf.DeviceSpec(job ="gfg", replica = 5) # Printing the DeviceSpec print('Device Spec: ', device_spec.to_string()) # Getting new DeviceSpec object new_device_spec = device_spec.parse_from_string("/GPU:0") # Printing the result print('New Device Spec: ', new_device_spec.to_string()) Output: Device Spec: /job:gfg/replica:5 New Device Spec: /device:GPU:0 Example 2: Python3 # Importing the library import tensorflow as tf # Initializing Device Specification device_spec = tf.DeviceSpec(job ="gfg", replica = 5) # Printing the DeviceSpec print('Device Spec: ', device_spec.to_string()) # Getting new DeviceSpec object new_device_spec = device_spec.parse_from_string("replica:2 / GPU:0") # Printing the result print('New Device Spec: ', new_device_spec.to_string()) Output: Device Spec: /job:gfg/replica:5 New Device Spec: /replica:2/device:GPU:0 Comment More infoAdvertise with us Next Article Python - tensorflow.DeviceSpec A aman neekhara Follow Improve Article Tags : Python Python-Tensorflow Python Tensorflow-math-functions Practice Tags : python Similar Reads Python - tensorflow.DeviceSpec.from_string() TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. from_string is used to generate DeviceSpec from string. Syntax: tensorflow.DeviceSpec.from_string( spec ) Parameters: spec: It is a string of the form  /job:/replica:/t 1 min read Python - tensorflow.DeviceSpec.to_string() TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. to_string() is used to get the string representation of the DeviceSpec object specifications. Syntax: tensorflow.DeviceSpec.to_string() Returns: It returns a string. Exa 1 min read Python - tensorflow.DeviceSpec.__eq__() TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. __eq__() is used to check the equality of two DeviceSpec objects. Syntax: tensorflow.DeviceSpec.__eq__( other ) Parameters: other: It is a DeviceSpec object. Returns: It 2 min read Python - tensorflow.DeviceSpec.make_merged_spec() TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. make_merged_spec is used to merge the specifications of two DeviceSpec. Syntax: tensorflow.DeviceSpec.make_merged_spec( dev ) Parameters: dev: It is DeviceSpec. Returns 2 min read Python - tensorflow.DeviceSpec TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. DeviceSpec represents the specification of TensorFlow device. This specification might be partial. If a DeviceSpec is partially specified, it will be merged with other 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 Like