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|
| import random |
| from statistics import mean |
| from simuleval.utils import entrypoint |
| from simuleval.evaluator.scorers.latency_scorer import ( |
| register_latency_scorer, |
| LatencyScorer, |
| ) |
| from simuleval.agents import TextToTextAgent |
| from simuleval.agents.actions import ReadAction, WriteAction |
|
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|
| @register_latency_scorer("RTF") |
| class RTFScorer(LatencyScorer): |
| """Real time factor |
| |
| Usage: |
| --latency-metrics RTF |
| """ |
|
|
| def __call__(self, instances) -> float: |
| scores = [] |
| for ins in instances.values(): |
| scores.append(ins.delays[-1] / ins.source_length) |
|
|
| return mean(scores) |
|
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|
|
| @entrypoint |
| class DummyWaitkTextAgent(TextToTextAgent): |
| waitk = 3 |
| vocab = [chr(i) for i in range(ord("A"), ord("Z") + 1)] |
|
|
| def policy(self): |
| lagging = len(self.states.source) - len(self.states.target) |
|
|
| if lagging >= self.waitk or self.states.source_finished: |
| prediction = random.choice(self.vocab) |
|
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| return WriteAction(prediction, finished=(lagging <= 1)) |
| else: |
| return ReadAction() |
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