inspecting size of tensorflow model - wastefully adding graph nodes in a loop.py

#when facing similar issue to the one mentioned at https://github.com/tensorflow/tensorflow/issues/1439

    import tensorflow as tf
    print("Count of global variables", len(tf.global_variables()))
    print("Count of graph elements",len(tf.get_default_graph().get_operations()))

memory check.py

def memory_check():
    import os, subprocess
    out = subprocess.Popen(['ps', 'v', '-p', str(os.getpid())], stdout=subprocess.PIPE).communicate()[0].split(b'\n')
    vsz_index = out[0].split().index(b'RSS')
    mem = float(out[1].split()[vsz_index]) / 1024
    print("Memory:", mem)