john-wang1015

the log_prob() in my prior like this ``` def log_prob(self, values): log_probs = torch.ones(values.size()[0],values.size()[1]) length = values.size()[0] if self.return_numpy: values = torch.as_tensor(values) for i in range(values.size()[0]): log_probs[i][0] = self.dist2.log_prob(values[i][0]) log_probs[i][1]...