Esempi in Python per set_seed_defaultUtils

Esempio n. 1

def set_seed(seed):
    """ Set the random number seed to the desired value
    """

    set_seed_defaultUtils(seed)

    if K.backend() == 'tensorflow':
        import tensorflow as tf
        tf.set_random_seed(seed)

Esempio n. 2

File: pytorch_utils.py Progetto: CBIIT/NCI-DOE-Collab-Pilot1-Combo-combination-drug-response-predictor

def set_seed(seed):
    """ Set the random number seed to the desired value

        Parameters
        ----------
        seed : integer
            Random number seed.
    """

    set_seed_defaultUtils(seed)
    torch.manual_seed(seed)

Esempio n. 3

File: keras_utils.py Progetto: yuhuang3/Candle

def set_seed(seed):
    """ Set the random number seed to the desired value

        Parameters
        ----------
        seed : integer
            Random number seed.
    """

    set_seed_defaultUtils(seed)

    if K.backend() == 'tensorflow':
        import tensorflow as tf
        tf.set_random_seed(seed)

Esempio n. 4

def set_seed(seed):
    """ Set the random number seed to the desired value

        Parameters
        ----------
        seed : integer
            Random number seed.
    """

    set_seed_defaultUtils(seed)

    if K.backend() == 'tensorflow':
        import tensorflow as tf
        if tf.__version__ < "2.0.0":
            tf.compat.v1.set_random_seed(seed)
        else:
            tf.random.set_seed(seed)

Esempio n. 5

def set_seed(seed):
    set_seed_defaultUtils(seed)

    if K.backend() == 'tensorflow':
        import tensorflow as tf
        tf.set_random_seed(seed)