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Add max_num_steps to SamplingParams
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@ -10,6 +10,7 @@ class SamplingParams:
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top_p: float = 1.0,
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use_beam_search: bool = False,
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stop_token_ids: Set[int] = [],
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max_num_steps: int = 16, # From OpenAI API.
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max_context_len: Optional[int] = None,
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) -> None:
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assert n >= 1
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@ -23,6 +24,7 @@ class SamplingParams:
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# Zero temperature means greedy decoding.
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assert n == 1
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assert top_p == 1.0
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assert max_num_steps >= 1
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assert max_context_len is None or max_context_len >= 0
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self.n = n
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@ -30,4 +32,5 @@ class SamplingParams:
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self.top_p = top_p
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self.use_beam_search = use_beam_search
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self.stop_token_ids = stop_token_ids
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self.max_num_steps = max_num_steps
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self.max_context_len = max_context_len
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