evaluations/evaluator.py [193:202]:
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            )
        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))
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evaluations/th_evaluator.py [188:197]:
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                )
        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))
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