multivariate.py 文件源码

def _sample(self, n_samples):
        if self.logits.get_shape().ndims == 2:
            logits_flat = self.logits
        else:
            logits_flat = tf.reshape(self.logits, [-1, self.n_categories])
        samples_flat = tf.transpose(tf.multinomial(logits_flat, n_samples))
        if self.logits.get_shape().ndims == 2:
            samples = samples_flat
        else:
            shape = tf.concat([[n_samples], self.batch_shape], 0)
            samples = tf.reshape(samples_flat, shape)
            static_n_samples = n_samples if isinstance(n_samples,
                                                       int) else None
            samples.set_shape(
                tf.TensorShape([static_n_samples]).
                concatenate(self.get_batch_shape()))
        samples = tf.one_hot(samples, self.n_categories, dtype=self.dtype)
        return samples