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:
# 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:
# 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