univariate.py 文件源码

def _sample(self, n_samples):
        p = tf.sigmoid(self.logits)
        shape = tf.concat([[n_samples], self.batch_shape], 0)
        alpha = tf.random_uniform(
            shape, minval=0, maxval=1, dtype=self.param_dtype)
        samples = tf.cast(tf.less(alpha, p), dtype=self.dtype)
        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()))
        return samples