How can I check if Tensorflow utilising the GPU Resource or not?

In the context of Python programming language, you can ensure whether TensorFlow check GPU resources or not by using the following coding snippet which involves compatibility of Tensorflow with NVIDA’s CUDA libraries.

Here is the example given by using Python programming language:-

Import tensorflow as tf

# Check available GPUs
Gpus = tf.config.experimental.list_physical_devices(‘GPU’)
If gpus:
    # Restrict TensorFlow to only allocate memory on demand
    For gpu in gpus:
        Tf.config.experimental.set_memory_growth(gpu, True)
    # Create a simple TensorFlow computation to observe GPU utilization
    With tf.device(‘/GPU:0’):
        A = tf.constant([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
        B = tf.constant([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]])
        C = tf.matmul(a, b)
    # Run the computation and monitor GPU usage
    With tf.compat.v1.Session() as sess:
        Result = sess.run©