def print_status(self):
        b = self.bias_hid.get_value(borrow=True)
        assert not contains_nan(b)
        p = 1./(1.+np.exp(-b))
        logger.info('p: ({0}, {1}, {2})'.format(p.min(), p.mean(), p.max()))
        B = self.B_driver.get_value(borrow=True)
        assert not contains_nan(B)
        logger.info('B: ({0}, {1}, {2})'.format(B.min(), B.mean(), B.max()))
        mu = self.mu.get_value(borrow=True)
        assert not contains_nan(mu)
        logger.info('mu: ({0}, {1}, {2})'.format(mu.min(), mu.mean(),
                                                 mu.max()))
        alpha = self.alpha.get_value(borrow=True)
        assert not contains_nan(alpha)
        logger.info('alpha: ({0}, {1}, {2})'.format(alpha.min(), alpha.mean(),
                                                    alpha.max()))
        W = self.W.get_value(borrow=True)
        assert isfinite(W)
        logger.info('W: ({0}, {1}, {2})'.format(W.min(), W.mean(), W.max()))
        norms = numpy_norms(W)
        logger.info('W norms: '
                    '({0}, {1}, {2})'.format(norms.min(), norms.mean(),
                                             norms.max()))
Initialize the OAuth2Session
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/models/s3c.py/S3C.print_status--crossover with--dataset/ETHPy150Open orcasgit/python-misfit/misfit/auth.py/MisfitAuth.__init__