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: It returns a DeviceSpec object with merged specification.
Example 1:
Python3
# Importing the library import tensorflow as tf # Initializing Device Specification device_spec = tf.DeviceSpec(job ="gfg", replica = 5) device_spec2 = tf.DeviceSpec(device_type ="CPU") # Printing the DeviceSpec object print('Device Spec: ', device_spec) print('Device Spec2: ', device_spec2) # Getting new DeviceSpec object new_device_spec = device_spec.make_merged_spec(device_spec2) # Printing the result print('New Device Spec: ', new_device_spec) |
Output:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fad779e4d08> Device Spec2: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fadb9428228> New Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fad779e4ca8>
Example 2:
Python3
# Importing the library import tensorflow as tf # Initializing Device Specification device_spec = tf.DeviceSpec(job ="gfg", replica = 5) device_spec2 = tf.DeviceSpec(device_type ="CPU", device_index = 2) # Printing the DeviceSpec object print('Device Spec: ', device_spec) print('Device Spec2: ', device_spec2) # Getting new DeviceSpec object new_device_spec = device_spec.make_merged_spec(device_spec2) # Printing the result print('New Device Spec: ', new_device_spec) |
Output:
Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fad779e4e28> Device Spec2: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fad779e4d08> New Device Spec: <tensorflow.python.framework.device_spec.DeviceSpecV2 object at 0x7fadb9428228>
