tensorflow_backend.py 文件源码

def random_binomial(shape, p=0.0, dtype=_FLOATX, seed=None):
    if seed is None:
        seed = np.random.randint(10e6)
    return tf.select(tf.random_uniform(shape, dtype=dtype, seed=seed) <= p,
                     tf.ones(shape, dtype=dtype),
                     tf.zeros(shape, dtype=dtype))

# CTC
# tensorflow has a native implemenation, but it uses sparse tensors
# and therefore requires a wrapper for Keras. The functions below convert
# dense to sparse tensors and also wraps up the beam search code that is
# in tensorflow's CTC implementation