def compute_inception_score()

in evaluations/evaluator.py [0:0]

• 13 lines of code
• 3 McCabe index (conditional complexity)

    def compute_inception_score(self, activations: np.ndarray, split_size: int = 5000) -> float:
        softmax_out = []
        for i in range(0, len(activations), self.softmax_batch_size):
            acts = activations[i : i + self.softmax_batch_size]
            softmax_out.append(self.sess.run(self.softmax, feed_dict={self.softmax_input: acts}))
        preds = np.concatenate(softmax_out, axis=0)
        # https://github.com/openai/improved-gan/blob/4f5d1ec5c16a7eceb206f42bfc652693601e1d5c/inception_score/model.py#L46
        scores = []
        for i in range(0, len(preds), split_size):
            part = preds[i : i + split_size]
            kl = part * (np.log(part) - np.log(np.expand_dims(np.mean(part, 0), 0)))
            kl = np.mean(np.sum(kl, 1))
            scores.append(np.exp(kl))
        return float(np.mean(scores))