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©