nn/nn_utils.py
def tf_warn_level(warn_level=3):
    """
    Filter out info from tensorflow output
    :param warn_level: can be 0 or 1 or 2
    :return:
    """
    if isinstance(warn_level, int):
        os.environ['TF_CPP_MIN_LOG_LEVEL'] = str(warn_level)
    else:
        os.environ['TF_CPP_MIN_LOG_LEVEL'] = warn_level

    Filter out info from tensorflow output
    :param warn_level: can be 0 or 1 or 2
    :return:
    
Filter out info from tensorflow output
Filter out info from tensorflow output
def tf_warn_level(warn_level=3):
    if isinstance(warn_level, int):
        os.environ['TF_CPP_MIN_LOG_LEVEL'] = str(warn_level)
    else:
        os.environ['TF_CPP_MIN_LOG_LEVEL'] = warn_level
def tf_warn_level ( warn_level = 3 ) : if isinstance ( warn_level , int ) : os . environ [ 'TF_CPP_MIN_LOG_LEVEL' ] = str ( warn_level ) else : os . environ [ 'TF_CPP_MIN_LOG_LEVEL' ] = warn_level
Filter out info from tensorflow output
Filter out info from tensorflow output
"""
    Filter out info from tensorflow output
    :param warn_level: can be 0 or 1 or 2
    :return:
    """
None
warn_level
can be 0 or 1 or 2
can be 0 or 1 or 2