signal.py 文件源码

def main():
    """
    test runner, computes delta for an array of sequences
    :return: None
    """
    A = T.tensor3('A', dtype='float32')
    theta = T.iscalar('theta')

    # compute delta coefficients for multiple sequences
    results, updates = theano.scan(append_delta_coeff, sequences=A, non_sequences=theta)
    compute_deltas = theano.function([A, theta], outputs=results, updates=updates)

    seqs = np.array([[[1, 2, 3, 4, 5],
                      [10, 12, 13, 14, 15],
                      [300, 1, 23, 56, 22]],
                     [[1, 1, 1, 1, 1],
                      [1, 1, 100, 1, 1],
                      [1, 1, 1, 1, 1]]], dtype='float32')
    res = compute_deltas(seqs, 1)
    print(res)