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:/task:/device:CPU: or /job:/replica:/task:/device:GPU with all entries being optional.
Returns: It returns a DeviceSpec object generated by the string.
Example 1:
Python3
# Importing the library import tensorflow as tf # Formatting the string spec = '/job:gfg / replica:1 / task:2' # Initializing Device Specification device_spec = tf.DeviceSpec.from_string(spec) # Printing the DeviceSpec object print('Device Spec: ', device_spec) |
Output:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fadb9428168>
Example 2:
Python3
# Importing the library import tensorflow as tf # Formatting the string spec = '/job:gfg / replica:2 / task:3' # Initializing Device Specification device_spec = tf.DeviceSpec.from_string(spec) # Printing the DeviceSpec object print('Device Spec: ', device_spec) |
Output:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fadb9428228>
