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 returns True if DeviceSpec object specifications are same otherwise it returns False.
Example 1:
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) device_spec2 = tf.DeviceSpec(job ="gfg2", replica = 5, task = 2, device_type ="GPU", device_index = 1) # Printing the DeviceSpec object print('Device Spec: ', device_spec.to_string()) print('Device Spec2: ', device_spec2.to_string()) # Finding the result res = device_spec.__eq__(device_spec2) # Printing the result print('Res: ', res) |
Output:
Device Spec: /job:gfg2/replica:5/task:2/device:GPU:1 Device Spec2: /job:gfg2/replica:5/task:2/device:GPU:1 Res: True
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) device_spec2 = tf.DeviceSpec(job ="gfg2", replica = 5, task = 2, device_type ="CPU", device_index = 2) # Printing the DeviceSpec object print('Device Spec: ', device_spec.to_string()) print('Device Spec2: ', device_spec2.to_string()) # Finding the result res = device_spec.__eq__(device_spec2) # Printing the result print('Res: ', res) |
Output:
Device Spec: /job:gfg2/replica:5/task:2/device:GPU:1 Device Spec2: /job:gfg2/replica:5/task:2/device:CPU:2 Res: False
