d15d9ad19021a8a3f26a86fbc6b71838ac37e7d1,pymc3/distributions/multivariate.py,MvNormal,__init__,#MvNormal#Any#Any#Any#Any#,97

Before Change

        self.tau = tt.as_tensor_variable(tau)
        self.cov = tt.as_tensor_variable(cov)
        self.gpu_compat = gpu_compat
        if gpu_compat is False and theano.config.device == "gpu":
            warnings.warn("The function used is not GPU compatible. Please check the gpu_compat flag")

    def random(self, point=None, size=None):
        mu, cov = draw_values([self.mu, self.cov], point=point)

        def _random(mean, cov, size=None):

After Change

    def __init__(self, mu, cov=None, tau=None, chol=None, *args, **kwargs):
        super(MvNormal, self).__init__(*args, **kwargs)
        if len([i for i in [tau, cov, chol] if i is not None]) != 1:
            raise ValueError("Incompatible parameterization. Specify exactly "
                             "one of tau, cov, or chol to specify "
                             "distribution.")
        self.mean = self.median = self.mode = self.mu = tt.as_tensor_variable(mu)
        self.solve = tt.slinalg.Solve(A_structure="lower_triangular", lower=True)

        self.has_tau = tau is not None
        if cov is not None:
            self.chol_cov = tt.slinalg.cholesky(tt.as_tensor_variable(cov))
        elif tau is not None:
            self.chol_tau = tt.slinalg.cholesky(tt.as_tensor_variable(tau))
        else:
            self.chol_cov = tt.as_tensor_variable(chol)

Instances