def print_all_variables(train_only=False):
    """Print information of trainable or all variables,
    without ``tl.layers.initialize_global_variables(sess)``.

    Parameters
    ----------
    train_only : boolean
        Whether print trainable variables only.
            - If True, print the trainable variables.
            - If False, print all variables.

    """
    # tvar = tf.trainable_variables() if train_only else tf.all_variables()
    if train_only:
        t_vars = tf.trainable_variables()
        logging.info("  [*] printing trainable variables")

    else:
        t_vars = tf.global_variables()
        logging.info("  [*] printing global variables")

    for idx, v in enumerate(t_vars):
        logging.info("  var {:3}: {:15}   {}".format(idx, str(v.get_shape()), v.name))
def print_all_variables(train_only=False):
    
    
    if train_only:
        t_vars = tf.trainable_variables()
        logging.info("  [*] printing trainable variables")

    else:
        t_vars = tf.global_variables()
        logging.info("  [*] printing global variables")

    for idx, v in enumerate(t_vars):
        logging.info("  var {:3}: {:15}   {}".format(idx, str(v.get_shape()), v.name))
def print_all_variables ( train_only = False ) : # tvar = tf.trainable_variables() if train_only else tf.all_variables() if train_only : t_vars = tf . trainable_variables ( ) logging . info ( "  [*] printing trainable variables" ) else : t_vars = tf . global_variables ( ) logging . info ( "  [*] printing global variables" ) for idx , v in enumerate ( t_vars ) : logging . info ( "  var {:3}: {:15}   {}" . format ( idx , str ( v . get_shape ( ) ) , v . name ) )
Print information of trainable or all variables,
    without ``tl.layers.initialize_global_variables(sess)``.

    Parameters
    ----------
    train_only : boolean
        Whether print trainable variables only.
            - If True, print the trainable variables.
            - If False, print all variables.
Print information of trainable or all variables without tl . layers . initialize_global_variables ( sess ) .